{"type": "FeatureCollection", "features": [{"id": "05216096-7514-4084-a361-49a2cee1f44c-bundesamt-fur-landwirtschaft-blw", "type": "Feature", "geometry": null, "properties": {"updated": "2012-07-01T00:00:00", "type": "Dataset", "title": "Digital soil suitability map of Switzerland - Nutrient storage capacity", "description": "In a similar way to water storage capacity, the aim is to specify how many equivalents of cations can be stored in the soil. The stored milliequivalents of cations were converted on the basis of a column of soil with a surface area of 1cm2 and a height corresponding to the physiological root penetration depth. This gave the milliequivalents (mEq) of cations per cm2. (Details: Soil suitability map of Switzerland, March 1980).", "formats": [{"name": "HTML"}], "keywords": ["anbaueignung", "aptitude-culturale", "attitudine-alla-coltura", "bgdi-bundesgeodaten-infrastruktur", "boden", "caracteristiques-geographiques-meteorologiques", "ch", "cultivation-suitability", "elementi-geografici-meteorologici", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "meteorological-geographical-features", "meteorologisch-geografische-kennwerte", "soil", "sol", "suolo"], "contacts": [{"organization": "info@blw.admin.ch", "roles": ["creator"]}, {"organization": "https://www.blw.admin.ch/blw/de/home.html?_organization=705", "roles": ["publisher"]}]}, "links": [{"href": "https://api3.geo.admin.ch/rest/services/api/MapServer/ch.blw.bodeneignung-naehrstoffspeichervermoegen"}, {"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.blw.bodeneignung-naehrstoffspeichervermoegen"}, {"href": "https://map.geo.admin.ch/?layers=ch.blw.bodeneignung-naehrstoffspeichervermoegen"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.blw.admin.ch/blw/de/home/politik/datenmanagement/geografisches-informationssystem-gis/bodeneignungskarte.html"}, {"href": "http://data.europa.eu/88u/dataset/05216096-7514-4084-a361-49a2cee1f44c-bundesamt-fur-landwirtschaft-blw"}, {"rel": "self", "type": "application/geo+json", "title": "05216096-7514-4084-a361-49a2cee1f44c-bundesamt-fur-landwirtschaft-blw", "name": "item", "description": "05216096-7514-4084-a361-49a2cee1f44c-bundesamt-fur-landwirtschaft-blw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/05216096-7514-4084-a361-49a2cee1f44c-bundesamt-fur-landwirtschaft-blw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1007/s41024-019-0066-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:15Z", "type": "Journal Article", "created": "2019-11-23", "title": "Influence of particle grading on the hygromechanical properties of hypercompacted earth", "description": "Abstract<p>Civil engineering research is increasingly focusing on the development of sustainable and energy-efficient building materials. Among these materials, raw (unfired) earth constitutes a promising option for reducing the environmental impact of buildings over their entire service life from construction to demolition. Raw earth has been used since old times but only recently has acquired prominence in mainstream building practice. This is mainly because of the development of novel methods to enhance the mechanical, hygroscopic and durability properties of compacted earth without increasing carbon and energy footprints. In this context, the present paper studies the dependency of the strength, stiffness, moisture capacity and water durability of compacted earth on particle grading. Results indicate that the particle size distribution is a key variable in defining the hygromechanical characteristics of compacted earth. The effect of the particle size distribution on the hygromechanical properties of compacted earth may be as important as that of dry density or stabilisation. This study suggests that a fine and well-graded earth mix exhibits higher levels of strength, stiffness, moisture capacity and water durability than a coarse and poorly-graded one.</p>", "keywords": ["690", "Raw earth material; Soil suitability; Hypercompaction; Durability", "13. Climate action", "11. Sustainability", "0211 other engineering and technologies", "02 engineering and technology", "Sciences de l'ing\u00e9nieur", "7. Clean energy", "0201 civil engineering", "12. Responsible consumption"]}, "links": [{"href": "http://dro.dur.ac.uk/29733/1/29733.pdf"}, {"href": "http://link.springer.com/content/pdf/10.1007/s41024-019-0066-4.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/365470/1/doi_349114.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/365470/5/doi_349114.pdf"}, {"href": "https://doi.org/10.1007/s41024-019-0066-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Building%20Pathology%20and%20Rehabilitation", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s41024-019-0066-4", "name": "item", "description": "10.1007/s41024-019-0066-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s41024-019-0066-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-23T00:00:00Z"}}, {"id": "10.1016/j.resconrec.2025.108210", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:38Z", "type": "Journal Article", "created": "2025-02-27", "title": "Plastic waste management in agriculture through a GIS-based territory design approach", "description": "An integrated methodology for managing the agricultural plastic waste flow using analytical hierarchy process and geographic information system was implemented. The Italian province of Bari, with a surface of 3825 km2, was considered as case study. Two scenarios were analysed: with and without intermediate collection centres. Plastic waste indices were defined and applied to land use maps to estimate and map waste. Ten environmental, social and techno-economic criteria were considered for defining suitability. Data were integrated into a geographic information system for territorial analyses, considering the routes over the roads network. The suitability map for collection centres siting was obtained, the results showed that the situation without collection centres could be improved by interposing them. Waste path lengths and related CO2 emissions were reduced by 62 % and 20 %, respectively, in the scenario with intermediate collection centres.", "keywords": ["Territorial suitability map", "Analytic hierarchy process", "Multi-criteria decision analysis", "Transfer station siting", "CO2 emission", "Analytic hierarchy process", " CO2 emission", " Multi criteria decision analysis", " Territorial suitability map", " Transfer station siting"], "contacts": [{"organization": "Convertino, Fabiana, Vox, Giuliano, Blanco, Ileana, Hachem, Ali, Schettini, Evelia,", "roles": ["creator"]}]}, "links": [{"href": "https://iris.unisalento.it/bitstream/11587/549568/1/2025_Convertino%20et%20al.%20RC%26amp%3bR_compressed.pdf"}, {"href": "https://doi.org/10.1016/j.resconrec.2025.108210"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Resources%2C%20Conservation%20and%20Recycling", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.resconrec.2025.108210", "name": "item", "description": "10.1016/j.resconrec.2025.108210", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.resconrec.2025.108210"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "10.1111/j.1757-1707.2011.01130.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:45Z", "type": "Journal Article", "created": "2011-11-02", "title": "Modeling Wildlife And Other Trade-Offs With Biofuel Crop Production", "description": "Abstract<p>Biofuels from agricultural sources are an important part ofCalifornia's strategy to reduce greenhouse gas emissions and dependence on foreign oil. Land conversion for agricultural and urban uses has already imperiled many animal species in the state. This study investigated the potential impacts on wildlife of shifts in agricultural activity to increase biomass production for transportation fuels. We applied knowledge of the suitability ofCalifornia's agricultural landscapes for wildlife species to evaluate wildlife effects associated with plausible scenarios of expanded production of three potential biofuel crops (sugar beets, bermudagrass, and canola). We also generated alternative, spatially explicit scenarios that minimized loss of habitat for the same level of biofuel production. We explored trade\uffe2\uff80\uff90offs to compare the marginal changes per unit of energy for transportation costs, wildlife, land and water\uffe2\uff80\uff90use, and total energy produced, and found that all five factors were influenced by crop choice. Sugar beet scenarios require the least land area: 3.5 times less land per liter of gasoline equivalent than bermudagrass and five times less than canola. Canola scenarios had the largest impacts on wildlife but the greatest reduction in water use. Bermudagrass scenarios resulted in a slight overall improvement for wildlife over the current situation. Relatively minor redistribution of lands converted to biofuel crops could produce the same energy yield with much less impact on wildlife and very small increases in transportation costs. This framework provides a means to systematically evaluate potential wildlife impacts of alternative production scenarios and could be a useful complement to other frameworks that assess impacts on ecosystem services and greenhouse gas emissions.</p>", "keywords": ["geographic information systems", "2. Zero hunger", "habitat suitability", "agroecosystems", "Life on Land", "California Wildlife Habitat Relationships system", "Agricultural Biotechnology", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "renewable energy", "7. Clean energy", "biofuels", "12. Responsible consumption", "Climate Action", "biomass feedstock", "trade-offs", "water demand", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Marxan"]}, "links": [{"href": "https://escholarship.org/content/qt40f8x430/qt40f8x430.pdf"}, {"href": "https://doi.org/10.1111/j.1757-1707.2011.01130.x"}, {"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/j.1757-1707.2011.01130.x", "name": "item", "description": "10.1111/j.1757-1707.2011.01130.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1757-1707.2011.01130.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-02T00:00:00Z"}}, {"id": "10.3390/biology12040593", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:23Z", "type": "Journal Article", "created": "2023-04-14", "title": "Determining Tipping Points and Responses of Macroinvertebrate Traits to Abiotic Factors in Support of River Management", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Although the trait concept is increasingly used in research, quantitative relations that can support in determining ecological tipping points and serve as a basis for environmental standards are lacking. This study determines changes in trait abundance along a gradient of flow velocity, turbidity and elevation, and develops trait\u2013response curves, which facilitate the identification of ecological tipping points. Aquatic macroinvertebrates and abiotic conditions were determined at 88 different locations in the streams of the Guayas basin. After trait information collection, a set of trait diversity metrics were calculated. Negative binomial regression and linear regression were applied to relate the abundance of each trait and trait diversity metrics, respectively, to flow velocity, turbidity and elevation. Tipping points for each environmental variable in relation to traits were identified using the segmented regression method. The abundance of most traits increased with increasing velocity, while they decreased with increasing turbidity. The negative binomial regression models revealed that from a flow velocity higher than 0.5 m/s, a substantial increase in abundance occurs for several traits, and this is even more substantially noticed at values higher than 1 m/s. Furthermore, significant tipping points were also identified for elevation, wherein an abrupt decline in trait richness was observed below 22 m a.s.l., implying the need to focus water management in these altitudinal regions. Turbidity is potentially caused by erosion; thus, measures that can reduce or limit erosion within the basin should be implemented. Our findings suggest that measures mitigating the issues related to turbidity and flow velocity may lead to better aquatic ecosystem functioning. This quantitative information related to flow velocity might serve as a good basis to determine ecological flow requirements and illustrates the major impacts that hydropower dams can have in fast-running river systems. These quantitative relations between invertebrate traits and environmental conditions, as well as related tipping points, provide a basis to determine critical targets for aquatic ecosystem management, achieve improved ecosystem functioning and warrant trait diversity.</p></article>", "keywords": ["NUISANCE PARAMETER", "QH301-705.5", "BIOLOGICAL TRAITS", "Article", "flow velocity", "traits", "threshold values", "HUMAN DISTURBANCES", "14. Life underwater", "Biology (General)", "ECOLOGICAL WATER-QUALITY", "limnology", "sediments", "Biology and Life Sciences", "15. Life on land", "6. Clean water", "turbidity", "flow velocity; limnology; river management; threshold values; tipping points; traits; sediments; turbidity", "13. Climate action", "FINE SEDIMENT", "tipping points", "AQUATIC INSECTS", "MULTIPLE-STRESSORS", "STREAM MACROINVERTEBRATES", "HABITAT SUITABILITY", "river management", "INVERTEBRATE COMMUNITIES"]}, "links": [{"href": "http://www.mdpi.com/2079-7737/12/4/593/pdf"}, {"href": "https://www.mdpi.com/2079-7737/12/4/593/pdf"}, {"href": "https://doi.org/10.3390/biology12040593"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/biology12040593", "name": "item", "description": "10.3390/biology12040593", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/biology12040593"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-13T00:00:00Z"}}, {"id": "10.3390/agronomy11122403", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:21Z", "type": "Journal Article", "created": "2021-11-29", "title": "Impacts of Farming Layer Constructions on Cultivated Land Quality under the Cultivated Land Balance Policy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Cultivated Land Balance Policy (CLBP) has led to the \u201cbetter land occupied and worse land supplemented\u201d program. At the same time, the current field-scale cultivated land quality (CLQ) evaluation cannot meet the work requirements of the CLBP. To this end, this study selected 24 newly added farmland in Fuping County and performed eight different high quality farming layer construction experiments to improve the CLQ. A new comprehensive model was constructed on a field scale to evaluate the CLQ using different tests from multi-dimensional perspectives of soil fertility, engineering, environment, and ecology, and to determine the best test mode. The results showed that after the test, around 62% of the cultivated land improved by one level, and the average cultivated land quality level and quality index of the test area increased by 0.63 and 30.63, respectively. The treatment of \u201cwoody peat + rotten crop straw + biostimulation regulator II + conventional fertilization\u201d had the best effect on the improvement of organic matter, soil aggregates, and soil microbial activity, and was the best treatment method. In general, application of soil amendments, such as woody peat when constructing high quality farmland, could quickly improve CLQ, and field-scale CLQ evaluation model constructed from a multi-dimensional perspective could accurately assess the true quality of farmland and allow managers to improve and manage arable land resources under CLBP.</p></article>", "keywords": ["Scale (ratio)", "cultivated land quality evaluation", "Agricultural engineering", "Agricultural and Biological Sciences", "Engineering", "Soil Evaluation", "Agricultural land", "Soil water", "Arable land", "cultivated land quality evaluation; field scale; high-quality farming layer; woody peat", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "S", "high-quality farming layer", "Life Sciences", "Land Suitability", "Land-Use Suitability Assessment Using GIS", "Land reclamation", "Agriculture", "04 agricultural and veterinary sciences", "woody peat", "Soil Erosion and Agricultural Sustainability", "Agricultural Land Use", "6. Clean water", "FOS: Philosophy", " ethics and religion", "Physical Sciences", "Quality (philosophy)", "field scale", "Cartography", "Soil Science", "Epistemology", "Management", " Monitoring", " Policy and Law", "Soil quality", "Environmental science", "Crop Suitability", "Agroforestry", "Biology", "Soil science", "Peat", "15. Life on land", "Topsoil", "Philosophy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2403/pdf"}, {"href": "https://doi.org/10.3390/agronomy11122403"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11122403", "name": "item", "description": "10.3390/agronomy11122403", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11122403"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-25T00:00:00Z"}}, {"id": "10.3390/w10040464", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:38Z", "type": "Journal Article", "created": "2018-04-11", "title": "Identifying Feasible Locations for Wetland Creation or Restoration in Catchments by Suitability Modelling Using Light Detection and Ranging (LiDAR) Digital Elevation Model (DEM)", "description": "<p>Wetlands play a key role in controlling flooding and non-point-source (diffuse) pollution. They are therefore an important tool for mitigating diffuse water pollution from farms. However, to use this tool, it is necessary to obtain detailed assessments and identification of potential wetland restoration or creation sites. This is complicated by the diversity of landscapes, environmental conditions, and land ownership. Site suitability for wetland restoration or creation depends on many factors: the underlying geology, soils, topography, hydrology, drainage, and land ownership. Local hydrology and soils are among the most important factors. However, the inventory and characterization of a site\uffe2\uff80\uff99s soils and hydrology often requires extensive, expensive, and time-consuming ground surveys, and it is therefore limited to small areas. Another possibility would be to consider topography, which strongly determines water movement patterns. Light detection and ranging (LiDAR) data provides detailed topographic information and can be acquired by remote sensing. Our study showed that terrain analysis using high-resolution topographical data can produce suitability maps for wetlands that can be easily used by decision makers and planners in watershed management. The rapid methodology reveals potential wetland creation or restoration sites at a reasonable cost; with the resulting spatially explicit suitability map, managers can plan for wetland creation or restoration without having to wait for field-data collection.</p>", "keywords": ["13. Climate action", "15. Life on land", "01 natural sciences", "spatial analysis; suitability analysis; spatial planning; watershed management; GIS; landscape planning", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/10/4/464/pdf"}, {"href": "https://doi.org/10.3390/w10040464"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w10040464", "name": "item", "description": "10.3390/w10040464", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w10040464"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-11T00:00:00Z"}}, {"id": "10.5061/dryad.rv15dv4gn", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:02Z", "type": "Dataset", "created": "2024-05-14", "title": "Variable species establishment in response to microhabitat indicates different likelihoods of climate-driven range shifts", "description": "Open Access<b>Abstract</b><br/><p>Climate change is causing geographic range shifts globally, and understanding the factors that influence species\u2019 range expansions is crucial for predicting future biodiversity changes. A common, yet untested, assumption in forecasting approaches is that species will shift beyond current range edges into new habitats as they become macroclimatically suitable, even though microhabitat variability could have overriding effects on local population dynamics. We aim to better understand the role of microhabitat in range shifts in plants through its impacts on establishment by Q1) examining microhabitat variability along large macroclimatic (i.e., elevational) gradients, Q2) testing which of these microhabitat variables explain plant recruitment and seedling survival, and Q3) predicting microhabitat suitability beyond species range limits. We transplanted seeds of 25 common tree, shrub, forb, and graminoid species across and beyond their current elevational ranges in the Washington Cascade Range, USA, along a large elevational gradient spanning a broad range of macroclimates. Over five years, we recorded recruitment, survival, and microhabitat (i.e., high resolution soil, air, and light) characteristics rarely measured in biogeographic studies. We asked whether microhabitat variables correlate with elevation, which variables drive species establishment, and whether microhabitat variables important for establishment are already suitable beyond leading range limits. We found that only 30% of microhabitat parameters covaried with elevation. We further observed extremely low recruitment and moderate seedling survival, and these were generally only weakly explained by microhabitat. Moreover, species and life stages responded in contrasting ways to soil biota, soil moisture, temperature, and snow duration. Microhabitat suitability predictions suggest that distribution shifts are likely to be species-specific, as different species have different suitability and availability of microhabitat beyond their present ranges, thus calling into question low-resolution macroclimatic projections that will miss such complexities. We encourage further research on species responses to microhabitat and including microhabitat in range shift forecasts.</p>", "keywords": ["soil composition", "seed transplant", "Cascades", "recruitment", "seedling survival", "FOS: Biological sciences", "microhabitat suitability", "Other", "Elevational gradient", "range shift"], "contacts": [{"organization": "Chardon, Nathalie Isabelle, McBurnie, Lauren, Goodwin, Katie, Pradhan, Kavya, Hille Ris Lambers, Janneke, Angert, Amy L.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.rv15dv4gn"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rv15dv4gn", "name": "item", "description": "10.5061/dryad.rv15dv4gn", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rv15dv4gn"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3748350", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:37Z", "type": "Dataset", "title": "Global Agricultural Land Resources \u2013 A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v2.0)", "description": "Open Access<strong>Agricultural land resources \u2013 a global suitability evaluation</strong> <em>An inventory is required on the changing potentially suitable areas for agriculture under changing climate conditions. Within the context of the GLUES project, researchers at the Ludwig-Maximilians University (LMU) investigated the global agricultural suitability of land under changing climate conditions at high spatial resolution. The growing demand for food, feed, fiber and bioenergy increases pressure on land and causes land use/cover change and trade-offs between different uses of land and ecosystem services. In order to ensure food security, agricultural potentials need to be used more efficiently in the future. Therefore, the agricultural suitability of land are important information e.g. in order to identify todays suitable areas and possible future changes. The potential suitability of todays forested and protected areas can be used to identify possible hotspots of land use/cover change. Therefore, LMU is working on improving the knowledge of global agricultural potentials of land and better understanding the interdependencies between ecological and socio-economic systems which are driving land use/cover change.</em> <strong>Determining Agricultural Suitability</strong> Local climate, soil and topography determine the available energy, water and nutrient supply for agricultural crops and thus their natural suitability. In order to allow for computing the natural agricultural constraints on the globe at 30 arc seconds (1km) spatial resolution, the following high resolution data were applied: Daily data for temperature, precipitation and solar radiation from the global climate model ECHAM5. Soil data comes from the Harmonized World Soil Database (HWSD). Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Topography data was applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the crop\u2019s suitability. It is considered on todays irrigated areas as given by the FAO Aquastat Global Maps of Irrigated Areas (GMIA) dataset. The determinant factors are contrasted with the crop-specific requirements, using a fuzzy-logic approach. The crop requirements are taken from literature. <strong>Agricultural Suitability</strong> General agricultural suitability at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The agricultural suitability represents for each pixel the maximum suitability value of the considered 16 plants. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). <strong>Suitability Change due to Climate until 2100</strong> Change in agricultural suitability and crop suitability due to climate change for SRES A1B scenario conditions for 16 crops between 1981-2010 and 2071-2100 at a spatial resolution of 30 arcsec. <strong>Multiple Cropping</strong> Potential number of suitable crop cycles for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). <strong>Growing Cycle</strong> Start of the growing cycle for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. In case of multiple cropping, the start of the first growing cycle is shown. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). <strong>Further information</strong> Detailled information are available in the following publication:<br> Zabel F., Putzenlechner B., Mauser W. (2014): <strong>Global agricultural land resources \u2013 a high resolution suitability evaluation and its perspectives until 2100 under climate change conditions. </strong> Online available: PLOS ONE. DOI: 10.1371/journal.pone.0107522 <strong>Improvements in v2.0</strong> Compared to previous versions, v2.0 uses updated input data for soil and minor improvements of the statistical downscaling and the bias correction of the climate model data. <strong>Contact</strong> Please contact: Dr. Florian Zabel, f.zabel@lmu.de, Department f\u00fcr Geographie, LMU M\u00fcnchen (www.geografie.uni-muenchen.de)", "keywords": ["Climate Change", "Agriculture", "Global", "Suitability"], "contacts": [{"organization": "Zabel, Florian, Putzenlechner, Birgitta, Mauser, Wolfram,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3748350"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3748350", "name": "item", "description": "10.5281/zenodo.3748350", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3748350"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-09-17T00:00:00Z"}}, {"id": "10.60692/2ezcc-55g95", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:26Z", "type": "Journal Article", "created": "2021-11-28", "title": "Impacts of Farming Layer Constructions on Cultivated Land Quality under the Cultivated Land Balance Policy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Cultivated Land Balance Policy (CLBP) has led to the \u201cbetter land occupied and worse land supplemented\u201d program. At the same time, the current field-scale cultivated land quality (CLQ) evaluation cannot meet the work requirements of the CLBP. To this end, this study selected 24 newly added farmland in Fuping County and performed eight different high quality farming layer construction experiments to improve the CLQ. A new comprehensive model was constructed on a field scale to evaluate the CLQ using different tests from multi-dimensional perspectives of soil fertility, engineering, environment, and ecology, and to determine the best test mode. The results showed that after the test, around 62% of the cultivated land improved by one level, and the average cultivated land quality level and quality index of the test area increased by 0.63 and 30.63, respectively. The treatment of \u201cwoody peat + rotten crop straw + biostimulation regulator II + conventional fertilization\u201d had the best effect on the improvement of organic matter, soil aggregates, and soil microbial activity, and was the best treatment method. In general, application of soil amendments, such as woody peat when constructing high quality farmland, could quickly improve CLQ, and field-scale CLQ evaluation model constructed from a multi-dimensional perspective could accurately assess the true quality of farmland and allow managers to improve and manage arable land resources under CLBP.</p></article>", "keywords": ["Scale (ratio)", "cultivated land quality evaluation", "Agricultural engineering", "Agricultural and Biological Sciences", "Engineering", "Soil Evaluation", "Agricultural land", "Soil water", "Arable land", "cultivated land quality evaluation; field scale; high-quality farming layer; woody peat", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "S", "high-quality farming layer", "Life Sciences", "Land Suitability", "Land-Use Suitability Assessment Using GIS", "Land reclamation", "Agriculture", "04 agricultural and veterinary sciences", "woody peat", "Soil Erosion and Agricultural Sustainability", "Agricultural Land Use", "6. Clean water", "FOS: Philosophy", " ethics and religion", "Physical Sciences", "Quality (philosophy)", "field scale", "Cartography", "Soil Science", "Epistemology", "Management", " Monitoring", " Policy and Law", "Soil quality", "Environmental science", "Crop Suitability", "Agroforestry", "Biology", "Soil science", "Peat", "15. Life on land", "Topsoil", "Philosophy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2403/pdf"}, {"href": "https://doi.org/10.60692/2ezcc-55g95"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/2ezcc-55g95", "name": "item", "description": "10.60692/2ezcc-55g95", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/2ezcc-55g95"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-25T00:00:00Z"}}, {"id": "10.5281/zenodo.5982577", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:43Z", "type": "Dataset", "title": "Global Agricultural Land Resources \u2013 A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v3.0)", "description": "<strong>Agricultural land resources \u2013 a global suitability evaluation (v3.0)</strong> Local climate, soil and topography determine the conditions under which agricultural crops are suitable for growth or not. The methodology uses a fuzzy logic approach that is described in Zabel et al. (2014). The approach is based on Liebig's law of the minimum. Accordingly, plant suitability is determined not by total available resources, but by the scarcest resource. The limiting factor depends on the local environmental conditions and the crop-specific requirements, that are taken from literature. <strong>Determining Agricultural Suitability</strong> Agricultural suitability is calculated for each of 5 climate models (GFDL, HadGEM2, IPSL, MIROC and NorESM1) from the AR5 ISIMIP fast track protocol. Daily climate model data for temperature, precipitation and solar radiation are statistically downscaled to 30 arc seconds spatial resolution. A monthly bias-correction is applied using WorldClim data. The provided suitability data refers to the model median over the 5 climate simulations. Soil data is taken from the Harmonized World Soil Database (HWSD) v1.21. Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Soil depth is taken into account according to Pelletier et al. (2015). Topography data is applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the suitability of crops and is considered in this approach. <strong>Agricultural Suitability</strong> The agricultural suitability data is provided at a spatial resolution of 30 arc seconds (approximately 1 km<sup>2</sup> at the equator). The dataset contains four time periods (1980-2009, 2010-2039, 2040-2069, 2070-2099) and two climate change scenarios (RCP2.6 and RCP 8.5). Agricultural suitability is provided for rainfed conditions and for irrigated conditions seperately. Additionally, we provide a dataset in which the current irrigation areas according to Maier et al. (2018) are applied. The suitability is provided for 23 food, feed, fibre, and 1st and 2nd generation bio-energy crops. An 'overall suitability' is provided for all crops that considers the most suitable crop on each pixel. Additionally, we provide a dataset excluding 2nd generation bioenergy crops (18-23) from the overall aggregation of crops. <strong>Food, feed, fiber and first-generation bioenergy crops</strong> Barley Potato Sugarbeet Cassava Rapeseed Sugarcane Groundnut Rice Sunflower Maize Rye Summer wheat Millet Sorghum Winter wheat Oilpalm Soybean <strong>Second-generation bioenergy crops</strong> Jatropha Reed canary grass Miscanthus Eucalyptus Switchgrass Willow <strong>Growing Season Adaptation</strong> The agricultural suitability considers the adaptation of the growing season. For each pixel and crop, the growing season is optimized throughout the year, taking the annual course of precipitation, temperature, and solar radiation as well as their interplay, into account. <strong>Most Suitable Crop</strong> The most suitable crop for each pixel is provided in the data. Please note that a value of 126 means that no crop suitable and 127 means that multiple crops have the same suitability. <strong>Further information</strong> Detailled information are available in the following publications: Zabel F, Putzenlechner B, Mauser W (2014) Global Agricultural Land Resources \u2013 A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions. PLOS ONE 9(9): e107522. doi: 10.1371/journal.pone.0107522 Cronin, J., Zabel, F., Dessens, O., Anandarajah, G. (2020): Land suitability for energy crops under scenarios of climate change and land-use. GCB Bioenergy, 12(8). doi: 10.1111/gcbb.12697 Schneider. J.M., Zabel, F., Mauser, W. (2022): Global inventory of suitable, cultivable and available cropland under different scenarios and policies. Scientific Data 9, 527. doi: 10.1038/s41597-022-01632-8 Meier, J., Zabel, F., Mauser, W. (2018): A global approach to estimate irrigated areas \u2013 a comparison between different data and statistics. Hydrol. Earth Syst. Sci., 22, 1119\u20131133, 2018. doi: 10.5194/hess-22-1119-201 Pelletier, J. D., Broxton, P. D., Hazenberg, P., Zeng, X., Troch, P. A., Niu, G.-Y., Williams, Z., Brunke, M. A., and Gochis, D. (2016), A gridded global data set of soil, immobile regolith, and sedimentary deposit thicknesses for regional and global land surface modeling, <em>J. Adv. Model. Earth Syst.</em>, 8, 41\u2013 65, doi: 10.1002/2015MS000526. <strong>Improvements in v3.0</strong> Compared to the previous version (v2.0), this version (v3.0) <em>uses updated input data for soil (HWSD v1.21) and high resolution irrigated areas (Maier et al. 2018), and additionally considers soil depth (Pelletier et al. 2016). Moreover, the suitability is calculated for an ensemble of 5 climate models, and is available for more crops, including a number of second generation bioenergy crops.</em> <strong>Contact</strong> Please contact: Dr. Florian Zabel, f.zabel@lmu.de, Department of Geography, LMU M\u00fcnchen (www.geografie.uni-muenchen.de)", "keywords": ["2. Zero hunger", "13. Climate action", "Climate Change", "Agriculture", "Global", "15. Life on land", "Suitability", "7. Clean energy", "6. Clean water"], "contacts": [{"organization": "Zabel, Florian", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5982577"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5982577", "name": "item", "description": "10.5281/zenodo.5982577", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5982577"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-06T00:00:00Z"}}, {"id": "3032136057", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:05Z", "type": "Journal Article", "created": "2020-05-28", "title": "Farming by soil in Europe: status and outlook of cropping systems under different pedoclimatic conditions", "description": "Background                <p>Despite of the importance of soils in agronomy, to date no comprehensive assessment of cropping in Europe has been performed from the viewpoint of the soil variability and its relationship to cropping patterns. In order to fill this knowledge gap, we studied the cropping patterns in different soils of European climate zones with regards to the shares of their crop types in a comparative manner. The study highlights the main features of farming by soil in Europe. Farming by soil in this context means the consideration of soil characteristics when selecting crop types and cropping patterns.</p>                                          Methods                <p>We first assessed the dissimilarity between the cropping compositions of different pedoclimatic zones in Europe. Next, we assessed the differences of crop distribution in the climate zones by soil types and main crop types by analyzing the degree of association of crops to soil types. A detailed country scale assessment was performed using crops-specific soil productivity maps and land use survey data from Hungary.</p>                                          Results                <p>Results suggest that, in general, farmers consciously take pedoclimatic condition of farming into account when selecting their cropping patterns. In other words, farming by soil is a common practice in the different climatic regions of Europe. However, we have strong reasons to believe that soil suitability-based cropping is not practiced to its full potential over the continent. For example, the findings of our European assessment suggest that production areas of legumes are not always optimized for the local pedoclimatic conditions in some zones. These findings also underline that economic drivers are decisive, when farmers adopt their cropping (eg. oil crops on Albeluvsiols in Europe). Win-win situations of economic considerations and soil suitability based management are observed in all pedoclimatic zones of Europe. The country analysis shows that cropping is progressively practiced on more suitable areas, depending also the crop tolerance to variable pedoclimatic conditions In conclusion, we can assume that pedoclimatic conditions of cropping are respected in most of Europe and farmers crops according to edaphic conditions whenever economic considerations do not override the ecological concerns of farming.</p>", "keywords": ["2. Zero hunger", "Agronomic suitability", "QH301-705.5", "Cropping", "R", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Ecological conditions", "Soil use", "04 agricultural and veterinary sciences", "Biology (General)", "15. Life on land", "Agricultural Science"]}, "links": [{"href": "https://peerj.com/articles/8984.pdf"}, {"href": "https://doi.org/3032136057"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3032136057", "name": "item", "description": "3032136057", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3032136057"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-28T00:00:00Z"}}, {"id": "10.7717/peerj.8984", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:37Z", "type": "Journal Article", "created": "2020-05-28", "title": "Farming by soil in Europe: status and outlook of cropping systems under different pedoclimatic conditions", "description": "Background                <p>Despite of the importance of soils in agronomy, to date no comprehensive assessment of cropping in Europe has been performed from the viewpoint of the soil variability and its relationship to cropping patterns. In order to fill this knowledge gap, we studied the cropping patterns in different soils of European climate zones with regards to the shares of their crop types in a comparative manner. The study highlights the main features of farming by soil in Europe. Farming by soil in this context means the consideration of soil characteristics when selecting crop types and cropping patterns.</p>                                          Methods                <p>We first assessed the dissimilarity between the cropping compositions of different pedoclimatic zones in Europe. Next, we assessed the differences of crop distribution in the climate zones by soil types and main crop types by analyzing the degree of association of crops to soil types. A detailed country scale assessment was performed using crops-specific soil productivity maps and land use survey data from Hungary.</p>                                          Results                <p>Results suggest that, in general, farmers consciously take pedoclimatic condition of farming into account when selecting their cropping patterns. In other words, farming by soil is a common practice in the different climatic regions of Europe. However, we have strong reasons to believe that soil suitability-based cropping is not practiced to its full potential over the continent. For example, the findings of our European assessment suggest that production areas of legumes are not always optimized for the local pedoclimatic conditions in some zones. These findings also underline that economic drivers are decisive, when farmers adopt their cropping (eg. oil crops on Albeluvsiols in Europe). Win-win situations of economic considerations and soil suitability based management are observed in all pedoclimatic zones of Europe. The country analysis shows that cropping is progressively practiced on more suitable areas, depending also the crop tolerance to variable pedoclimatic conditions In conclusion, we can assume that pedoclimatic conditions of cropping are respected in most of Europe and farmers crops according to edaphic conditions whenever economic considerations do not override the ecological concerns of farming.</p>", "keywords": ["2. Zero hunger", "Agronomic suitability", "QH301-705.5", "Cropping", "R", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Ecological conditions", "Soil use", "04 agricultural and veterinary sciences", "Biology (General)", "15. Life on land", "Agricultural Science"]}, "links": [{"href": "https://peerj.com/articles/8984.pdf"}, {"href": "https://doi.org/10.7717/peerj.8984"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.8984", "name": "item", "description": "10.7717/peerj.8984", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.8984"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-28T00:00:00Z"}}, {"id": "10.7910/DVN/FNEGDP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:38Z", "type": "Dataset", "title": "Current and future forage suitability maps for Ethiopia and Kenya", "description": "This data was produced using Targeting Tools \u2013 a web-based GIS tool, which matches a suitability criteria that include climate and environmental requirements for each of the forage varieties with a spatial database that\u2019s comprises organic carbon, soil PH, annual precipitation, mean temperature, growing days and elevation data to characterize the suitability.", "keywords": ["Forage", "Agricultural Sciences", "Forage suitability", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Maps", "Africa", "forage", "Ethiopia", "Agroecosystems and Sustainable Landscapes - ASL", "Kenya"], "contacts": [{"organization": "Mutua, John, Notenbaert, An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/FNEGDP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/FNEGDP", "name": "item", "description": "10.7910/DVN/FNEGDP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/FNEGDP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/ESK6BB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:38Z", "type": "Dataset", "title": "Current and future forage suitability maps for Rwanda and Tanzania", "description": "This data was produced using Targeting Tools \u2013 a web-based GIS tool, which matches a suitability criteria that include climate and environmental requirements for each of the forage varieties with a spatial database that\u2019s comprises organic carbon, soil PH, annual precipitation, mean temperature, growing days and elevation data to characterize the suitability.", "keywords": ["rwanda", "kenya", "Forage", "Agricultural Sciences", "Forage suitability", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Maps", "Africa", "Rwanda", "forage", "Agroecosystems and Sustainable Landscapes - ASL", "Kenya"], "contacts": [{"organization": "Mutua, John, Notenbaert, An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/ESK6BB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/ESK6BB", "name": "item", "description": "10.7910/DVN/ESK6BB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/ESK6BB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "11587/549568", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:11Z", "type": "Journal Article", "created": "2025-02-27", "title": "Plastic waste management in agriculture through a GIS-based territory design approach", "description": "An integrated methodology for managing the agricultural plastic waste flow using analytical hierarchy process and geographic information system was implemented. The Italian province of Bari, with a surface of 3825 km2, was considered as case study. Two scenarios were analysed: with and without intermediate collection centres. Plastic waste indices were defined and applied to land use maps to estimate and map waste. Ten environmental, social and techno-economic criteria were considered for defining suitability. Data were integrated into a geographic information system for territorial analyses, considering the routes over the roads network. The suitability map for collection centres siting was obtained, the results showed that the situation without collection centres could be improved by interposing them. Waste path lengths and related CO2 emissions were reduced by 62 % and 20 %, respectively, in the scenario with intermediate collection centres.", "keywords": ["Territorial suitability map", "Analytic hierarchy process", "Multi-criteria decision analysis", "Transfer station siting", "CO2 emission", "Analytic hierarchy process", " CO2 emission", " Multi criteria decision analysis", " Territorial suitability map", " Transfer station siting"]}, "links": [{"href": "https://iris.unisalento.it/bitstream/11587/549568/1/2025_Convertino%20et%20al.%20RC%26amp%3bR_compressed.pdf"}, {"href": "https://doi.org/11587/549568"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Resources%2C%20Conservation%20and%20Recycling", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11587/549568", "name": "item", "description": "11587/549568", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11587/549568"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:17Z", "type": "Journal Article", "created": "2023-04-14", "title": "Determining Tipping Points and Responses of Macroinvertebrate Traits to Abiotic Factors in Support of River Management", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Although the trait concept is increasingly used in research, quantitative relations that can support in determining ecological tipping points and serve as a basis for environmental standards are lacking. This study determines changes in trait abundance along a gradient of flow velocity, turbidity and elevation, and develops trait\u2013response curves, which facilitate the identification of ecological tipping points. Aquatic macroinvertebrates and abiotic conditions were determined at 88 different locations in the streams of the Guayas basin. After trait information collection, a set of trait diversity metrics were calculated. Negative binomial regression and linear regression were applied to relate the abundance of each trait and trait diversity metrics, respectively, to flow velocity, turbidity and elevation. Tipping points for each environmental variable in relation to traits were identified using the segmented regression method. The abundance of most traits increased with increasing velocity, while they decreased with increasing turbidity. The negative binomial regression models revealed that from a flow velocity higher than 0.5 m/s, a substantial increase in abundance occurs for several traits, and this is even more substantially noticed at values higher than 1 m/s. Furthermore, significant tipping points were also identified for elevation, wherein an abrupt decline in trait richness was observed below 22 m a.s.l., implying the need to focus water management in these altitudinal regions. Turbidity is potentially caused by erosion; thus, measures that can reduce or limit erosion within the basin should be implemented. Our findings suggest that measures mitigating the issues related to turbidity and flow velocity may lead to better aquatic ecosystem functioning. This quantitative information related to flow velocity might serve as a good basis to determine ecological flow requirements and illustrates the major impacts that hydropower dams can have in fast-running river systems. These quantitative relations between invertebrate traits and environmental conditions, as well as related tipping points, provide a basis to determine critical targets for aquatic ecosystem management, achieve improved ecosystem functioning and warrant trait diversity.</p></article>", "keywords": ["NUISANCE PARAMETER", "QH301-705.5", "BIOLOGICAL TRAITS", "Article", "flow velocity", "traits", "threshold values", "HUMAN DISTURBANCES", "14. Life underwater", "Biology (General)", "ECOLOGICAL WATER-QUALITY", "limnology", "sediments", "Biology and Life Sciences", "15. Life on land", "6. Clean water", "turbidity", "flow velocity; limnology; river management; threshold values; tipping points; traits; sediments; turbidity", "13. Climate action", "FINE SEDIMENT", "tipping points", "AQUATIC INSECTS", "MULTIPLE-STRESSORS", "STREAM MACROINVERTEBRATES", "HABITAT SUITABILITY", "river management", "INVERTEBRATE COMMUNITIES"]}, "links": [{"href": "http://www.mdpi.com/2079-7737/12/4/593/pdf"}, {"href": "https://www.mdpi.com/2079-7737/12/4/593/pdf"}, {"href": "https://doi.org/1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9", "name": "item", "description": "1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-13T00:00:00Z"}}, {"id": "1854/LU-8743335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/1854/LU-8743335"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8743335", "name": "item", "description": "1854/LU-8743335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8743335"}, {"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": "1893/33794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:20Z", "type": "Journal Article", "created": "2021-12-30", "title": "Global maps of soil temperature", "description": "Abstract<p>Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2\uffc2\uffa0m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1\uffe2\uff80\uff90km2resolution for 0\uffe2\uff80\uff935 and 5\uffe2\uff80\uff9315\uffc2\uffa0cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1\uffe2\uff80\uff90km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse\uffe2\uff80\uff90grained air temperature estimates from ERA5\uffe2\uff80\uff90Land (an atmospheric reanalysis by the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\uffc2\uffb0C (mean\uffc2\uffa0=\uffc2\uffa03.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.1\uffc2\uffb0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\uffe2\uff88\uff920.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C). The observed substantial and biome\uffe2\uff80\uff90specific offsets emphasize that the projected impacts of climate and climate change on near\uffe2\uff80\uff90surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil\uffe2\uff80\uff90related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.</p", "keywords": ["0106 biological sciences", "Bioclimatic variables; Global maps; Microclimate; Near-surface temperatures; Soil temperature; Soil-dwelling organisms; Temperature offset; Weather stations; Climate change; Temperature; Ecosystem; Soil", "791", "550", ":Zoology and botany: 480 [VDP]", "VDP::Zoologiske og botaniske fag: 480", "551", "Q1", "7. Clean energy", "01 natural sciences", "41 Environmental sciences", "Global map", "SDG 13 - Climate Action", "Soil temperature", "MICROCLIMATE", "bepress|Physical Sciences and Mathematics|Environmental Sciences", "soil-dwelling organism", "bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "weather station", "GB", "http://aims.fao.org/aos/agrovoc/c_34836", "Geology", "16. Peace & justice", "Settore BIOS-01/C - Botanica ambientale e applicata", "6. Clean water", "Near-surface soil temperature", "international", "[SDE]Environmental Sciences", "551: Geologie und Hydrologie", "Near-surface temperature", "Near-surface temperatures", "soil temperature", "P40 - M\u00e9t\u00e9orologie et climatologie", "577", "bepress|Physical Sciences and Mathematics|Earth Sciences", "MITIGATION", "bepress|Life Sciences|Ecology and Evolutionary Biology", "12. Responsible consumption", "near-surface temperatures", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate", "bioclimatic variables", "Bioclimatic variables", "Settore BIO/07 - ECOLOGIA", "temperature offset", "global maps", "http://aims.fao.org/aos/agrovoc/c_1344", "577: \u00d6kologie", "global map", "Biology", "Ecosystem", "Ekologi", "http://aims.fao.org/aos/agrovoc/c_24894", "Science & Technology", "ddc:550", "9. Industry and infrastructure", "31 Biological sciences", "Biology and Life Sciences", "Microclimate", "06 Biological Sciences", "15. Life on land", "weather stations", "bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring", "900", "cartographie", "microclimate", "Klimatvetenskap", "[SDE] Environmental Sciences", "Biodiversity & Conservation", "05 Environmental Sciences", "Weather stations", "Temperature offset", "Plan_S-Compliant-OA", "Soil", "bepress|Life Sciences", "Geolog\u00eda", "Research Articles", "info:eu-repo/classification/ddc/570", "changement climatique", "Ecology", "zone climatique", "4. Education", "Temperature", "Biological Sciences", "bioclimatologie", "FOREST", "Weather station", "Chemistry", "Biodiversity Conservation", "Life Sciences & Biomedicine", "bepress|Physical Sciences and Mathematics", "Technology and Engineering", "http://aims.fao.org/aos/agrovoc/c_1669", "bioclimatic variable", "Climate Change", "soil-dwelling organisms", "Environmental Sciences & Ecology", "MOISTURE", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperature", "temp\u00e9rature du sol", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology", "SUITABILITY", "G1", "VDP::Mathematics and natural scienses: 400::Zoology and botany: 480", "Global maps", "http://aims.fao.org/aos/agrovoc/c_1666", ":Zoologiske og botaniske fag: 480 [VDP]", "Soil-dwelling organisms", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "r\u00e9chauffement global", "Climate Change; Ecosystem; Microclimate; Soil; Temperature; bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "http://aims.fao.org/aos/agrovoc/c_9260", "P30 - Sciences et am\u00e9nagement du sol", "Aquatic Ecology", "Bioclimatic variable", "SNOW-COVER", "Climate Science", "37 Earth sciences", "Climate Action", "bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Earth sciences", "variation saisonni\u00e8re", "PLANT-RESPONSES", "CLIMATIC CONTROLS", "Soil-dwelling organism", "Settore BIOS-05/A - Ecologia", "13. Climate action", "Earth and Environmental Sciences", "VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480", "VDP::Zoology and botany: 480", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "CBCE", "http://aims.fao.org/aos/agrovoc/c_7197", "Environmental Sciences"]}, "links": [{"href": "https://ray.yorksj.ac.uk/id/eprint/5803/1/20211222_SoilTemp_maps_preformatted.pdf"}, {"href": "http://dspace.stir.ac.uk/bitstream/1893/33794/1/Lembrechts-etal-GCB-2022.pdf"}, {"href": "https://eprints.whiterose.ac.uk/183991/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.cnr.it/bitstream/20.500.14243/445619/1/prod_462419-doc_189996.pdf"}, {"href": "https://openpub.fmach.it/bitstream/10449/74200/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.unica.it/bitstream/11584/332967/1/2022_Global_maps_soil_temperature_GlobalChangeBiology.pdf"}, {"href": "https://ricerca.univaq.it/bitstream/11697/178559/2/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://vb.gamtc.lt/object/elaba:126634244/126634244.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16060"}, {"href": "https://escholarship.org/content/qt6hg3313z/qt6hg3313z.pdf"}, {"href": "https://doi.org/1893/33794"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1893/33794", "name": "item", "description": "1893/33794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1893/33794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-21T00:00:00Z"}}, {"id": "3217045336", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:20Z", "type": "Journal Article", "created": "2021-11-29", "title": "Impacts of Farming Layer Constructions on Cultivated Land Quality under the Cultivated Land Balance Policy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Cultivated Land Balance Policy (CLBP) has led to the \u201cbetter land occupied and worse land supplemented\u201d program. At the same time, the current field-scale cultivated land quality (CLQ) evaluation cannot meet the work requirements of the CLBP. To this end, this study selected 24 newly added farmland in Fuping County and performed eight different high quality farming layer construction experiments to improve the CLQ. A new comprehensive model was constructed on a field scale to evaluate the CLQ using different tests from multi-dimensional perspectives of soil fertility, engineering, environment, and ecology, and to determine the best test mode. The results showed that after the test, around 62% of the cultivated land improved by one level, and the average cultivated land quality level and quality index of the test area increased by 0.63 and 30.63, respectively. The treatment of \u201cwoody peat + rotten crop straw + biostimulation regulator II + conventional fertilization\u201d had the best effect on the improvement of organic matter, soil aggregates, and soil microbial activity, and was the best treatment method. In general, application of soil amendments, such as woody peat when constructing high quality farmland, could quickly improve CLQ, and field-scale CLQ evaluation model constructed from a multi-dimensional perspective could accurately assess the true quality of farmland and allow managers to improve and manage arable land resources under CLBP.</p></article>", "keywords": ["Scale (ratio)", "cultivated land quality evaluation", "Agricultural engineering", "Agricultural and Biological Sciences", "Engineering", "Soil Evaluation", "Agricultural land", "Soil water", "Arable land", "cultivated land quality evaluation; field scale; high-quality farming layer; woody peat", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "S", "high-quality farming layer", "Life Sciences", "Land Suitability", "Land-Use Suitability Assessment Using GIS", "Land reclamation", "Agriculture", "04 agricultural and veterinary sciences", "woody peat", "Soil Erosion and Agricultural Sustainability", "Agricultural Land Use", "6. Clean water", "FOS: Philosophy", " ethics and religion", "Physical Sciences", "Quality (philosophy)", "field scale", "Cartography", "Soil Science", "Epistemology", "Management", " Monitoring", " Policy and Law", "Soil quality", "Environmental science", "Crop Suitability", "Agroforestry", "Biology", "Soil science", "Peat", "15. Life on land", "Topsoil", "Philosophy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2403/pdf"}, {"href": "https://doi.org/3217045336"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3217045336", "name": "item", "description": "3217045336", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3217045336"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-25T00:00:00Z"}}, {"id": "4d7ea1c8-451b-46b6-8e16-ffee10e0c9a7-bundesamt-fur-landwirtschaft-blw", "type": "Feature", "geometry": null, "properties": {"updated": "2000-12-31T00:00:00", "type": "Dataset", "title": "Digital soil suitability map of Switzerland - Crop type", "description": "On the soil suitability map, each mapping unit has a code consisting of an uppercase letter and a number. The letters stand for 25 different physiographical units. The numbers represent different elements of the landscape, categorised by bedrock, slope and gradient. Each mapping unit also corresponds to one or more soil types. There are 144 mapping units in total. They are grouped together into 18 different coloured categories on the map from the perspective of soil suitability. Agricultural criteria have primarily been used for this classification.", "formats": [{"name": "HTML"}], "keywords": ["anbaueignung", "aptitude-culturale", "attitudine-alla-coltura", "bgdi-bundesgeodaten-infrastruktur", "boden", "caracteristiques-geographiques-meteorologiques", "ch", "cultivation-suitability", "elementi-geografici-meteorologici", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "meteorological-geographical-features", "meteorologisch-geografische-kennwerte", "soil", "sol", "suolo"], "contacts": [{"organization": "info@blw.admin.ch", "roles": ["creator"]}, {"organization": "https://www.blw.admin.ch/blw/de/home.html?_organization=705", "roles": ["publisher"]}]}, "links": [{"href": "https://api3.geo.admin.ch/rest/services/api/MapServer/ch.blw.bodeneignung-kulturtyp"}, {"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.blw.bodeneignung-kulturtyp"}, {"href": "https://map.geo.admin.ch/?layers=ch.blw.bodeneignung-kulturtyp"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.blw.admin.ch/blw/de/home/politik/datenmanagement/geografisches-informationssystem-gis/bodeneignungskarte.html"}, {"href": "http://data.europa.eu/88u/dataset/4d7ea1c8-451b-46b6-8e16-ffee10e0c9a7-bundesamt-fur-landwirtschaft-blw"}, {"rel": "self", "type": "application/geo+json", "title": "4d7ea1c8-451b-46b6-8e16-ffee10e0c9a7-bundesamt-fur-landwirtschaft-blw", "name": "item", "description": "4d7ea1c8-451b-46b6-8e16-ffee10e0c9a7-bundesamt-fur-landwirtschaft-blw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4d7ea1c8-451b-46b6-8e16-ffee10e0c9a7-bundesamt-fur-landwirtschaft-blw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:49Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "self", "type": "application/geo+json", "title": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "name": "item", "description": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"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": "6caf4d0f-52da-433a-809f-92781316ad0e-bundesamt-fur-landwirtschaft-blw", "type": "Feature", "geometry": null, "properties": {"updated": "2012-07-01T00:00:00", "type": "Dataset", "title": "Digital soil suitability map of Switzerland - Water storage capacity", "description": "The term refers to water which is retained in the soil by tension forces and can easily be taken up by plants (soil moisture tension 0.1 - 1 Atm). Estimates show that there is likely to be 1 mm of easily available water (soil moisture tension 0.1 - 1 Atm) for each 1 cm of physiological root penetration depth. The physiological root penetration depth is determined by the entire layer that can be penetrated by roots, with deductions for stones and large cavities in sand and gravel soils, together with deductions for compact structures and soil horizons with a low oxygen content. (Details: Soil suitability map of Switzerland, March 1980).", "formats": [{"name": "HTML"}], "keywords": ["anbaueignung", "aptitude-culturale", "attitudine-alla-coltura", "bgdi-bundesgeodaten-infrastruktur", "boden", "caracteristiques-geographiques-meteorologiques", "ch", "cultivation-suitability", "elementi-geografici-meteorologici", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "meteorological-geographical-features", "meteorologisch-geografische-kennwerte", "soil", "sol", "suolo"], "contacts": [{"organization": "info@blw.admin.ch", "roles": ["creator"]}, {"organization": "https://www.blw.admin.ch/blw/de/home.html?_organization=705", "roles": ["publisher"]}]}, "links": [{"href": "https://api3.geo.admin.ch/rest/services/api/MapServer/ch.blw.bodeneignung-wasserspeichervermoegen"}, {"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.blw.bodeneignung-wasserspeichervermoegen"}, {"href": "https://map.geo.admin.ch/?layers=ch.blw.bodeneignung-wasserspeichervermoegen"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.blw.admin.ch/blw/de/home/politik/datenmanagement/geografisches-informationssystem-gis/bodeneignungskarte.html"}, {"href": "http://data.europa.eu/88u/dataset/6caf4d0f-52da-433a-809f-92781316ad0e-bundesamt-fur-landwirtschaft-blw"}, {"rel": "self", "type": "application/geo+json", "title": "6caf4d0f-52da-433a-809f-92781316ad0e-bundesamt-fur-landwirtschaft-blw", "name": "item", "description": "6caf4d0f-52da-433a-809f-92781316ad0e-bundesamt-fur-landwirtschaft-blw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6caf4d0f-52da-433a-809f-92781316ad0e-bundesamt-fur-landwirtschaft-blw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "843de9c9-6feb-4577-ab3b-e4fb62a9c56a-bundesamt-fur-landwirtschaft-blw", "type": "Feature", "geometry": null, "properties": {"updated": "2000-12-31T00:00:00", "type": "Dataset", "title": "Digital soil suitability map of Switzerland - Cultivated land", "description": "On the soil suitability map, each mapping unit has a code consisting of an uppercase letter and a number. The letters stand for 25 different physiographical units. The numbers represent different elements of the landscape, categorised by bedrock, slope and gradient. Each mapping unit also corresponds to one or more soil types. There are 144 mapping units in total. They are grouped together into 18 different coloured categories on the map from the perspective of soil suitability. Agricultural criteria have primarily been used for this classification.", "formats": [{"name": "HTML"}], "keywords": ["anbaueignung", "aptitude-culturale", "attitudine-alla-coltura", "bgdi-bundesgeodaten-infrastruktur", "boden", "caracteristiques-geographiques-meteorologiques", "ch", "cultivation-suitability", "elementi-geografici-meteorologici", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "meteorological-geographical-features", "meteorologisch-geografische-kennwerte", "soil", "sol", "suolo"], "contacts": [{"organization": "info@blw.admin.ch", "roles": ["creator"]}, {"organization": "https://www.blw.admin.ch/blw/de/home.html?_organization=705", "roles": ["publisher"]}]}, "links": [{"href": "https://api3.geo.admin.ch/rest/services/api/MapServer/ch.blw.bodeneignung-kulturland"}, {"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.blw.bodeneignung-kulturland"}, {"href": "https://map.geo.admin.ch/?layers=ch.blw.bodeneignung-kulturland"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.blw.admin.ch/blw/de/home/politik/datenmanagement/geografisches-informationssystem-gis/bodeneignungskarte.html"}, {"href": "http://data.europa.eu/88u/dataset/843de9c9-6feb-4577-ab3b-e4fb62a9c56a-bundesamt-fur-landwirtschaft-blw"}, {"rel": "self", "type": "application/geo+json", "title": "843de9c9-6feb-4577-ab3b-e4fb62a9c56a-bundesamt-fur-landwirtschaft-blw", "name": "item", "description": "843de9c9-6feb-4577-ab3b-e4fb62a9c56a-bundesamt-fur-landwirtschaft-blw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/843de9c9-6feb-4577-ab3b-e4fb62a9c56a-bundesamt-fur-landwirtschaft-blw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "PMC7261479", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:27:10Z", "type": "Journal Article", "created": "2020-05-28", "title": "Farming by soil in Europe: status and outlook of cropping systems under different pedoclimatic conditions", "description": "Background                     <p>Despite of the importance of soils in agronomy, to date no comprehensive assessment of cropping in Europe has been performed from the viewpoint of the soil variability and its relationship to cropping patterns. In order to fill this knowledge gap, we studied the cropping patterns in different soils of European climate zones with regards to the shares of their crop types in a comparative manner. The study highlights the main features of farming by soil in Europe. Farming by soil in this context means the consideration of soil characteristics when selecting crop types and cropping patterns.</p>                                                           Methods                     <p>We first assessed the dissimilarity between the cropping compositions of different pedoclimatic zones in Europe. Next, we assessed the differences of crop distribution in the climate zones by soil types and main crop types by analyzing the degree of association of crops to soil types. A detailed country scale assessment was performed using crops-specific soil productivity maps and land use survey data from Hungary.</p>                                                           Results                     <p>Results suggest that, in general, farmers consciously take pedoclimatic condition of farming into account when selecting their cropping patterns. In other words, farming by soil is a common practice in the different climatic regions of Europe. However, we have strong reasons to believe that soil suitability-based cropping is not practiced to its full potential over the continent. For example, the findings of our European assessment suggest that production areas of legumes are not always optimized for the local pedoclimatic conditions in some zones. These findings also underline that economic drivers are decisive, when farmers adopt their cropping (eg. oil crops on Albeluvsiols in Europe). Win-win situations of economic considerations and soil suitability based management are observed in all pedoclimatic zones of Europe. The country analysis shows that cropping is progressively practiced on more suitable areas, depending also the crop tolerance to variable pedoclimatic conditions In conclusion, we can assume that pedoclimatic conditions of cropping are respected in most of Europe and farmers crops according to edaphic conditions whenever economic considerations do not override the ecological concerns of farming.</p>", "keywords": ["2. Zero hunger", "Agronomic suitability", "QH301-705.5", "Cropping", "R", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Ecological conditions", "Soil use", "04 agricultural and veterinary sciences", "Biology (General)", "15. Life on land", "Agricultural Science"]}, "links": [{"href": "https://peerj.com/articles/8984.pdf"}, {"href": "https://doi.org/PMC7261479"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC7261479", "name": "item", "description": "PMC7261479", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC7261479"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-28T00:00:00Z"}}, {"id": "a1c56c8d-05c9-425f-9aed-71e265081634-bundesamt-fur-landwirtschaft-blw", "type": "Feature", "geometry": null, "properties": {"updated": "2012-07-01T00:00:00", "type": "Dataset", "title": "Digital soil suitability map of Switzerland - Root penetration depth", "description": "Depth of soil that can be penetrated by roots (general thick and fine roots; roots that penetrate into clefts or crevices are not included). (Details: Soil suitability map of Switzerland, March 1980.)", "formats": [{"name": "HTML"}], "keywords": ["anbaueignung", "aptitude-culturale", "attitudine-alla-coltura", "bgdi-bundesgeodaten-infrastruktur", "boden", "caracteristiques-geographiques-meteorologiques", "ch", "cultivation-suitability", "elementi-geografici-meteorologici", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "meteorological-geographical-features", "meteorologisch-geografische-kennwerte", "soil", "sol", "suolo"], "contacts": [{"organization": "info@blw.admin.ch", "roles": ["creator"]}, {"organization": "https://www.blw.admin.ch/blw/de/home.html?_organization=705", "roles": ["publisher"]}]}, "links": [{"href": "https://api3.geo.admin.ch/rest/services/api/MapServer/ch.blw.bodeneignung-gruendigkeit"}, {"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.blw.bodeneignung-gruendigkeit"}, {"href": "https://map.geo.admin.ch/?layers=ch.blw.bodeneignung-gruendigkeit"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.blw.admin.ch/blw/de/home/politik/datenmanagement/geografisches-informationssystem-gis/bodeneignungskarte.html"}, {"href": "http://data.europa.eu/88u/dataset/a1c56c8d-05c9-425f-9aed-71e265081634-bundesamt-fur-landwirtschaft-blw"}, {"rel": "self", "type": "application/geo+json", "title": "a1c56c8d-05c9-425f-9aed-71e265081634-bundesamt-fur-landwirtschaft-blw", "name": "item", "description": "a1c56c8d-05c9-425f-9aed-71e265081634-bundesamt-fur-landwirtschaft-blw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a1c56c8d-05c9-425f-9aed-71e265081634-bundesamt-fur-landwirtschaft-blw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "ace71da1-bfd1-4745-a2f1-40b4567f4907-bundesamt-fur-landwirtschaft-blw", "type": "Feature", "geometry": null, "properties": {"updated": "2012-07-01T00:00:00", "type": "Dataset", "title": "Digital soil suitability map of Switzerland - Waterlogging", "description": "If external water (runoff from slopes and groundwater) is present in the soil as well as precipitation, this is described as external waterlogging. (Details: Soil suitability map of Switzerland, March 1980).", "formats": [{"name": "HTML"}], "keywords": ["anbaueignung", "aptitude-culturale", "attitudine-alla-coltura", "bgdi-bundesgeodaten-infrastruktur", "boden", "caracteristiques-geographiques-meteorologiques", "ch", "cultivation-suitability", "elementi-geografici-meteorologici", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "meteorological-geographical-features", "meteorologisch-geografische-kennwerte", "soil", "sol", "suolo"], "contacts": [{"organization": "info@blw.admin.ch", "roles": ["creator"]}, {"organization": "https://www.blw.admin.ch/blw/de/home.html?_organization=705", "roles": ["publisher"]}]}, "links": [{"href": "https://api3.geo.admin.ch/rest/services/api/MapServer/ch.blw.bodeneignung-vernaessung"}, {"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.blw.bodeneignung-vernaessung"}, {"href": "https://map.geo.admin.ch/?layers=ch.blw.bodeneignung-vernaessung"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.blw.admin.ch/blw/de/home/politik/datenmanagement/geografisches-informationssystem-gis/bodeneignungskarte.html"}, {"href": "http://data.europa.eu/88u/dataset/ace71da1-bfd1-4745-a2f1-40b4567f4907-bundesamt-fur-landwirtschaft-blw"}, {"rel": "self", "type": "application/geo+json", "title": "ace71da1-bfd1-4745-a2f1-40b4567f4907-bundesamt-fur-landwirtschaft-blw", "name": "item", "description": "ace71da1-bfd1-4745-a2f1-40b4567f4907-bundesamt-fur-landwirtschaft-blw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ace71da1-bfd1-4745-a2f1-40b4567f4907-bundesamt-fur-landwirtschaft-blw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "b07f2385-ee3d-4dae-aac2-3fce678ead33-bundesamt-fur-landwirtschaft-blw", "type": "Feature", "geometry": null, "properties": {"updated": "2012-07-01T00:00:00", "type": "Dataset", "title": "Digital soil suitability map of Switzerland - Stone content", "description": "The stone content refers to the individual mineral components of the soil which are larger than 2 mm (sieve residue). In most cases the top 50 cm of the soil was evaluated. (Details: Soil suitability map of Switzerland, March 1980).", "formats": [{"name": "HTML"}], "keywords": ["anbaueignung", "aptitude-culturale", "attitudine-alla-coltura", "bgdi-bundesgeodaten-infrastruktur", "boden", "caracteristiques-geographiques-meteorologiques", "ch", "cultivation-suitability", "elementi-geografici-meteorologici", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "meteorological-geographical-features", "meteorologisch-geografische-kennwerte", "soil", "sol", "suolo"], "contacts": [{"organization": "info@blw.admin.ch", "roles": ["creator"]}, {"organization": "https://www.blw.admin.ch/blw/de/home.html?_organization=705", "roles": ["publisher"]}]}, "links": [{"href": "https://api3.geo.admin.ch/rest/services/api/MapServer/ch.blw.bodeneignung-skelettgehalt"}, {"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.blw.bodeneignung-skelettgehalt"}, {"href": "https://map.geo.admin.ch/?layers=ch.blw.bodeneignung-skelettgehalt"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.blw.admin.ch/blw/de/home/politik/datenmanagement/geografisches-informationssystem-gis/bodeneignungskarte.html"}, {"href": "http://data.europa.eu/88u/dataset/b07f2385-ee3d-4dae-aac2-3fce678ead33-bundesamt-fur-landwirtschaft-blw"}, {"rel": "self", "type": "application/geo+json", "title": "b07f2385-ee3d-4dae-aac2-3fce678ead33-bundesamt-fur-landwirtschaft-blw", "name": "item", "description": "b07f2385-ee3d-4dae-aac2-3fce678ead33-bundesamt-fur-landwirtschaft-blw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/b07f2385-ee3d-4dae-aac2-3fce678ead33-bundesamt-fur-landwirtschaft-blw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "d5bd22a3-0656-4582-97bc-37f77b5426ca-bundesamt-fur-landwirtschaft-blw", "type": "Feature", "geometry": null, "properties": {"updated": "2012-07-01T00:00:00", "type": "Dataset", "title": "Digital soil suitability map of Switzerland - Permeability", "description": "Permeability is measured using saturated soil core samples in the laboratory. Observations in the field highlighted a relationship between precipitation, permeability and morphological features. The least permeable soil horizon of the top 50 cm was evaluated. (Details: Soil suitability map of Switzerland, March 1980).", "formats": [{"name": "HTML"}], "keywords": ["anbaueignung", "aptitude-culturale", "attitudine-alla-coltura", "bgdi-bundesgeodaten-infrastruktur", "boden", "caracteristiques-geographiques-meteorologiques", "ch", "cultivation-suitability", "elementi-geografici-meteorologici", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "meteorological-geographical-features", "meteorologisch-geografische-kennwerte", "soil", "sol", "suolo"], "contacts": [{"organization": "info@blw.admin.ch", "roles": ["creator"]}, {"organization": "https://www.blw.admin.ch/blw/de/home.html?_organization=705", "roles": ["publisher"]}]}, "links": [{"href": "https://api3.geo.admin.ch/rest/services/api/MapServer/ch.blw.bodeneignung-wasserdurchlaessigkeit"}, {"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.blw.bodeneignung-wasserdurchlaessigkeit"}, {"href": "https://map.geo.admin.ch/?layers=ch.blw.bodeneignung-wasserdurchlaessigkeit"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.blw.admin.ch/blw/de/home/politik/datenmanagement/geografisches-informationssystem-gis/bodeneignungskarte.html"}, {"href": "http://data.europa.eu/88u/dataset/d5bd22a3-0656-4582-97bc-37f77b5426ca-bundesamt-fur-landwirtschaft-blw"}, {"rel": "self", "type": "application/geo+json", "title": "d5bd22a3-0656-4582-97bc-37f77b5426ca-bundesamt-fur-landwirtschaft-blw", "name": "item", "description": "d5bd22a3-0656-4582-97bc-37f77b5426ca-bundesamt-fur-landwirtschaft-blw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d5bd22a3-0656-4582-97bc-37f77b5426ca-bundesamt-fur-landwirtschaft-blw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "a2c3b40d-19a2-415c-9254-98a9e5da574d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:28:22Z", "type": "Dataset", "language": "pl", "title": "Soil and agricultural map in 1:25000 scale", "description": "The soil-agricultural map shows the spatial variability of the soil habitat and contains information on the most important physical properties and suitability of the agricultural soil.", "keywords": ["agricultural-soil-suitability", "land-cover", "land-use", "physical-properties-of-soil", "pl", "przydatnos\u0301c\u0301-rolnicza-gleb", "siedlisko-glebowe", "soil", "soil-habitat", "uz\u0307ytkowanie-terenu", "uz\u0307ytkowanie-ziemi", "w\u0142as\u0301ciwos\u0301ci-fizyczne-gleby"]}, "links": [{"href": "http://www.mapy.opolskie.pl"}, {"href": "http://www.wodgik.opolskie.pl"}, {"href": "http://data.europa.eu/88u/dataset/a2c3b40d-19a2-415c-9254-98a9e5da574d"}, {"rel": "self", "type": "application/geo+json", "title": "a2c3b40d-19a2-415c-9254-98a9e5da574d", "name": "item", "description": "a2c3b40d-19a2-415c-9254-98a9e5da574d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a2c3b40d-19a2-415c-9254-98a9e5da574d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "af9183f2-43ec-4eda-b772-35b117d396b4", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.45, 51.9], [13.45, 52.74], [14.5, 52.74], [14.5, 51.9], [13.45, 51.9]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Managed Aquifer Recharge (MAR); Surface infiltration; Water sustainability; Site suitability analysis"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Oder-Spree"}, {"id": "M\u00e4rkisch-Oderland"}, {"id": "Untere Spree"}], "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": "2025-07-25", "type": "Dataset", "created": "2025-07-23", "language": "eng", "title": "Natural and constructively enlarged depressions for surface induced managed aquifer recharge (MAR) within Brandenburg\u00b4s lower Spree catchment", "description": "The included subsets outline natural and construcively enlarged depressions to be utilized for surface induced recharge measures to counteract water withdrawals and reduce the vulnerability of the groundwater as well as connected surface waters and ecosystems. In case of constructively enlarged sinks this included the locations for trapezoidal embankment structures to be introduced to utilized the outlined recharge areas. The result are expressed by a numerical indexation and summarized in a final index for each sink.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "opendata", "Managed Aquifer Recharge (MAR); Surface infiltration; Water sustainability; Site suitability analysis", "Boden", "Germany", "Brandenburg", "Oder-Spree", "M\u00e4rkisch-Oderland", "Untere Spree"], "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, 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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. 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