{"type": "FeatureCollection", "facets": {"type": {"type": "terms", "property": "type", "buckets": [{"value": "Journal Article", "count": 50}, {"value": "Dataset", "count": 8}, {"value": "Service", "count": 4}, {"value": "Report", "count": 3}]}, "soil_chemical_properties": {"type": "terms", "property": "soil_chemical_properties", "buckets": [{"value": "zinc", "count": 65}, {"value": "cadmium", "count": 24}, {"value": "iron", "count": 20}, {"value": "copper", "count": 19}, {"value": "manganese", "count": 12}, {"value": "carbon", "count": 10}, {"value": "magnesium", "count": 9}, {"value": "potassium", "count": 9}, {"value": "calcium", "count": 9}, {"value": "aluminium", "count": 8}, {"value": "sulphur", "count": 7}, {"value": "nitrate", "count": 4}, {"value": "boron", "count": 2}, {"value": "nitric acid", "count": 2}, {"value": "molybdenum", "count": 1}, {"value": "soil organic matter", "count": 1}, {"value": "soil organic carbon", "count": 1}]}, "soil_biological_properties": {"type": "terms", "property": "soil_biological_properties", "buckets": []}, "soil_physical_properties": {"type": "terms", "property": "soil_physical_properties", "buckets": [{"value": "water", "count": 3}]}, "soil_classification": {"type": "terms", "property": "soil_classification", "buckets": [{"value": "sandy soils", "count": 1}]}, "soil_functions": {"type": "terms", "property": "soil_functions", "buckets": [{"value": "soil fertility", "count": 2}]}, "soil_threats": {"type": "terms", "property": "soil_threats", "buckets": [{"value": "soil pollution", "count": 3}, {"value": "contamination", "count": 2}]}, "soil_processes": {"type": "terms", "property": "soil_processes", "buckets": [{"value": "sedimentation", "count": 5}]}, "soil_management": {"type": "terms", "property": "soil_management", "buckets": []}, "ecosystem_services": {"type": "terms", "property": "ecosystem_services", "buckets": [{"value": "energy transformations", "count": 3}]}}, "features": [{"id": "20.500.11850/705672", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:44Z", "type": "Journal Article", "created": "2024-11-04", "title": "Geochemical Decoupling of Iron and Zinc during Transformation of Zn-Bearing Ferrihydrite in Reducing Sediments", "description": "Open AccessISSN:0013-936X", "keywords": ["Geologic Sediments", "zinc carbonate", "Iron", "Mossbauer spectroscopy", "X-ray absorption spectroscopy", "mineral transformation; Mossbauer spectroscopy; X-ray absorption spectroscopy; environmental speciation; green rust; zinc sulfide; zinc carbonate", "Ferric Compounds", "Zinc", "Spectroscopy", " Mossbauer", "green rust", "X-Ray Absorption Spectroscopy", "zinc sulfide", "Oxidation-Reduction", "mineral transformation", "environmental speciation"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.est.4c09261"}, {"href": "https://doi.org/20.500.11850/705672"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/705672", "name": "item", "description": "20.500.11850/705672", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/705672"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-04T00:00:00Z"}}, {"id": "24e4b58d-ea1f-4f5c-b442-96b8ce05dc9b", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.72, 47.23], [5.72, 54.62], [15.3, 54.62], [15.3, 47.23], [5.72, 47.23]]]}, "properties": {"updated": "2024-11-07T14:37:59", "type": "Service", "created": "2011-11-28", "language": "ger", "title": "Download service First soil condition survey in the forest (BZE Forest I)", "description": "Die bundesweite Bodenzustandserhebung im Wald (BZE Wald) ist Bestandteil\n    des forstlichen Umweltmonitorings. Die BZE I erhob einmalig an ca. 1.800\n    Stichprobenpunkten den Zustand von Waldb\u00f6den. Au\u00dfer dem Waldboden\n    wurden auch die Baumbestockung und der Kronenzustand untersucht.\n    Verkn\u00fcpfungen bestanden teilweise mit ICP Forests Level I und der\n    Waldzustandserhebung (WZE).\n\nVerteilung Probenahmestandorte: 8 x 8 km-Raster (in manchen Bundesl\u00e4ndern verdichtet)\n\nProbennahmemethode:\n\u2022 Probenentnahme und Aufbereitung nach BML 1990: Bundesweite Bodenzustandserhebung im Wald (BZE). Arbeitsanleitung, Bonn, Neuauflage 1994\n\u2022 Satellitenbeprobung mit einem Bodenprofil am BZE-Mittelpunkt\n\u2022 Probenahme f\u00fcr die chemischen Analysen nach Tiefenstufen\n\u2022 Methodische Abweichungen einzelner Bundesl\u00e4nder von der gemeinsamen Arbeitsanleitung sind beschrieben in BMELV 2007: Ergebnisse der bundesweiten Bodenzustandserhebung im Wald I, Band 1 (1996, \u00fcberarbeite Version von 2007) http://bfh-web.fh-eberswalde.de/bze/front_content.php?idcat=107&idart=163.\n\nEntnahmetiefe(n):\n\u2022 0 bis 5 cm\n\u2022 5 bis 10 cm\n\u2022 10 bis 30 cm\n\u2022 30 bis 60 cm\n\u2022 60 bis 90 cm\n\u2022 sofern m\u00f6glich auch 90 bis 140 cm, 140 bis 200 cm\n\nUntersuchungsmethode(n):\nAnalyse nach BML 1990: Bundesweite Bodenzustandserhebung im Wald (BZE). Arbeitsanleitung, Bonn, Neuauflage 1994\n\nArbeitsgruppen / Gremien:\nBund-/L\u00e4nder-AG BZE des Bundesministeriums f\u00fcr Ern\u00e4hrung, Landwirtschaft und Verbraucherschutz (BMELV)\n\nR\u00e4umliche Aufl\u00f6sung der bereitgestellten Daten:\n4x4 km (aggregierte Kachel des JRC-Soil-Grids: http://eusoils.jrc.ec.europa.eu/library/reference_grids/reference_grids.cfm )", "formats": [{"name": "OGC:WFS-http-get-capabilities"}], "keywords": ["inspireidentifiziert", "opendata", "infoFeatureAccessService", "WFS", "National", "BZE", "Bodenzustandserhebung", "Wald", "Bodenfunktion", "Bodenkarte", "Bodennutzbarkeit", "WO", "Wald\u00f6kologie", "Waldinventur", "Bodenmessaktivit\u00e4t", "Aufnahmesituation", "Blattgehalt", "Buche", "Elementvorrat", "Humusstatus", "Kronenzustand", "Kationenaustauschverh\u00e4ltnisse", "Nadelgehalt", "Fichte", "Kiefer", "Bestockungstyp", "Substratgruppe", "Bodentyp", "Podsoligkeit", "H\u00f6he", "pH", "H2O", "KCL", "S\u00e4urebelastungsrisiko", "Kupfer", "Cu", "Calcium", "Ca", "Magnesium", "Mg", "Kalium", "K", "Stickstoff", "N", "Kohlenstoff", "C", "Humusform", "Spurenlemente", "Hauptn\u00e4hrelemente", "C/N", "C/P", "Phosphor", "P", "Aluminium", "Al", "Basens\u00e4ttigung", "Eisen", "Fe", "Elastizit\u00e4t", "Mangan", "Mn", "Wasserstoff", "H+", "Schadstufe", "Verf\u00e4rbung", "Schwefel", "S", "Zink", "Zn", "Blei", "Pb", "Cadmium", "Cd", "Nadeljahrgang", "Elementgehalt", "Bodenfeststoff", "B\u00e4ume", "Baum", "Schwermetallgehalt", "Schwermetallvorrat", "Schwermetallvorr\u00e4te", "Protonens\u00e4ttigung", "Kohlenstoffgehalt", "Kohlenstoffvorrat", "Bodenfeststoff", "Bodenl\u00f6sung", "Krone", "Stamm", "Blatt", "Bl\u00e4tter", "Nadeln", "Boden"], "contacts": [{"name": null, "organization": "Th\u00fcnen-Institut f\u00fcr Wald\u00f6kosysteme", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "geomd-wo@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Deutschland"}], "links": [{"href": {"url": "https://www.thuenen.de/de/wo", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}], "themes": [{"concepts": [{"id": "National"}], "scheme": "Spatial scope"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "title_alternate": "Downloaddienst"}, "links": [{"href": "https://inspire.thuenen.de/geoserver/bze1_wald/ows?service=WFS&version=2.0.0&request=GetCapabilities", "name": "GetCapabilities-Request (WFS)", "description": "GetCapabilities-Dokument (Selbstbeschreibung des Dienstes)", "protocol": "OGC:WFS-http-get-capabilities", "rel": "information"}, {"href": "https://inspire.thuenen.de/geoserver/bze1_wald/ows?service=WFS&version=2.0.0&request=GetCapabilities", "description": "GetCapabilities-Dokument (Selbstbeschreibung des Dienstes)", "protocol": "WWW:LINK-1.0-http--link"}, {"href": "https://gdi-catalog.bmel.de/srv/api/records/24e4b58d-ea1f-4f5c-b442-96b8ce05dc9b/attachments/small.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "24e4b58d-ea1f-4f5c-b442-96b8ce05dc9b", "name": "item", "description": "24e4b58d-ea1f-4f5c-b442-96b8ce05dc9b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/24e4b58d-ea1f-4f5c-b442-96b8ce05dc9b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2024-11-07T14:37:59Z"}}, {"id": "2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.02, 52.76], [9.02, 52.76], [9.03, 52.76], [9.03, 52.76], [9.02, 52.76]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Zea mays"}, {"id": "Poaceae"}, {"id": "Shoots"}, {"id": "leaves"}, {"id": "Nitrates"}, {"id": "Nitrogen"}, {"id": "Elements"}, {"id": "Chlorophylls"}, {"id": "nutrient cycling in ecosystems"}, {"id": "Plant morphology"}, {"id": "Catch cropping"}, {"id": "Crop rotation"}, {"id": "Catch crops"}, {"id": "Sinapis alba"}, {"id": "Phacelia tanacetifolia"}, {"id": "Mustard"}, {"id": "Trifolium alexandrinum"}, {"id": "Mustard"}, {"id": "Phacelia"}, {"id": "oats"}, {"id": "maize"}, {"id": "Phosphorus"}, {"id": "Potassium"}, {"id": "Iron"}, {"id": "Carbon"}, {"id": "Magnesium"}, {"id": "Zinc"}, {"id": "Manganese"}, {"id": "Tillering"}, {"id": "biomass"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Landwirtschaftliche Anlagen und Aquakulturanlagen"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Maize"}, {"id": "Nutritional state"}, {"id": "pre-grown catch crops mineral elements"}, {"id": "opendata"}], "scheme": "Individual"}], "rights": "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 BonaRes Module A-Project - CATCHY's research activities.\n\nAlthough every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-CATCHY and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2019-06-17", "type": "Dataset", "created": "2019-01-09", "language": "eng", "title": "Shoot development and nutritional status of maize 1st crop rotation cycle", "description": "A central aspect when including catch crops into a crop rotation is the conservation of nutrients in their biomass for the subsequently grown crop. However, the nutrient carry-over to the following crop depends not only on the amount of nutrients accumulated in individual catch crop plant materials but also on the specific degradation properties of their tissues, i.e. the temporal quantitative and qualitative release of scavenged nutrients. In our experiment we investigated the morphological and nutritional response of maize to 6 different pre-grown catch crop variants including pure stands and mixtures. \nAt two field sites in Germany (Asendorf - Lower Saxony and Triesdorf - Bavaria), maize (seeding rate: 9.4 seeds m-2) was established either after pure cultures of mustard, phacelia, bristle oat and Egyptian clover, after a mixture of these 4 species or after a commercial mixture of the DSV with a higher species diversity called TerraLife MaisPro. Their single-species nutrient accumulation was already published in the BonaRes-database under \u201cCatch crop nutrient uptake 1st crop rotation cycle\u201d.  Fallow plots were included as control. Maize was fertilized with 160 kg N ha-1 in Asendorf and 190 kg N ha-1 in Triesdorf. Since nutrient release from catch cops might temporarily vary, we studied the morphological and nutritional response of maize at 4 developmental stages ranging from leaf development over shoot elongation and flowering to cob development. As morphological parameters we investigated the number of leaves, tillers and cobs. In order to study the nutritional response we examined the shoot biomass, chlorophyll content or SPAD values and different nutrient concentrations in young and old leaves as well as the nitrate concentration in the press sap obtained from a 1 cm-piece of the stem base as marker for the nitrogen nutritional status. At both locations, the experiment was repeated in two subsequent years (2016 and 2017) and represented each the initial starting point of a wheat-catch crop-maize long-term rotation. Thus, maize response was tested in total in 4 environments. \nIn general we could not observe any significant impact of the pre-grown catch crop variant on morphological or nutritional shoot parameters at any of the investigated developmental stages and in none of the test environments. However, catch crop effects often develop in the long run when included regularly in a crop rotation.", "formats": [{"name": "CSV"}], "keywords": ["Zea mays", "Poaceae", "Shoots", "leaves", "Nitrates", "Nitrogen", "Elements", "Chlorophylls", "nutrient cycling in ecosystems", "Plant morphology", "Catch cropping", "Crop rotation", "Catch crops", "Sinapis alba", "Phacelia tanacetifolia", "Mustard", "Trifolium alexandrinum", "Mustard", "Phacelia", "oats", "maize", "Phosphorus", "Potassium", "Iron", "Carbon", "Magnesium", "Zinc", "Manganese", "Tillering", "biomass", "Landwirtschaftliche Anlagen und Aquakulturanlagen", "Maize", "Nutritional state", "pre-grown catch crops mineral elements", "opendata"], "contacts": [{"name": "Heuermann, Diana", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Staff member (Molecular Plant Nutrition)", "roles": ["author"], "phones": [{"value": "0049 39482 5514"}], "emails": [{"value": "heuermannd@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Wir\u00e9n, Nicolaus von", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Department head", "roles": ["projectLeader"], "phones": [{"value": "0049 39482 5603"}], "emails": [{"value": "vonwiren@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "roles": ["contributor"]}], "title_alternate": "Biomass, development and nutrient accumulation in the above-ground biomass of maize after different catch crop variants in the first cycle of a wheat-catch crop-maize long-term rotation"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef", "name": "item", "description": "2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-17T00:00:00Z"}}, {"id": "34952215", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:54Z", "type": "Journal Article", "created": "2021-12-21", "title": "Zinc in plants: Integrating homeostasis and biofortification", "description": "Zinc plays many essential roles in life. As a strong Lewis acid that lacks redox activity under environmental and cellular conditions, the Zn2+ cation is central in determining protein structure and catalytic function of nearly 10% of most eukaryotic proteomes. While specific functions of zinc have been elucidated at a molecular level in a number of plant proteins, wider issues abound with respect to the acquisition and distribution of zinc by plants. An important challenge is to understand how plants balance between Zn supply in soil and their own nutritional requirement for zinc, particularly where edaphic factors lead to a lack of bioavailable zinc or, conversely, an excess of zinc that bears a major risk of phytotoxicity. Plants are the ultimate source of zinc in the human diet, and human Zn deficiency accounts for over 400\u00a0000 deaths annually. Here, we review the current understanding of zinc homeostasis in plants from the molecular and physiological perspectives. We provide an overview of approaches pursued so far in Zn biofortification of crops. Finally, we outline a 'push-pull' model of zinc nutrition in plants as a simplifying concept. In summary, this review discusses avenues that can potentially deliver wider benefits for both plant and human Zn nutrition.", "keywords": ["Crops", " Agricultural", "0301 basic medicine", "Zinc", "0303 health sciences", "03 medical and health sciences", "Homeostasis", "Biofortification", "Triticum"]}, "links": [{"href": "https://doi.org/34952215"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Molecular%20Plant", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "34952215", "name": "item", "description": "34952215", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/34952215"}, {"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": "37992897", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:59Z", "type": "Journal Article", "created": "2023-11-20", "title": "Phytosiderophore pathway response in barley exposed to iron, zinc or copper starvation", "description": "Efficient micronutrient acquisition is a critical factor in selecting micronutrient dense crops for human consumption. Enhanced exudation and re-uptake of metal chelators, so-called phytosiderophores, by roots of graminaceous plants has been implicated in efficient micronutrient acquisition. We compared PS biosynthesis and exudation as a response mechanism to either Fe, Zn or Cu starvation. Two barley (Hordeum vulgare L.) lines with contrasting micronutrient grain yields were grown hydroponically and PS exudation (LC-MS) and root gene expression (RNAseq) were determined after either Fe, Zn, or Cu starvation. The response strength of the PS pathway was micronutrient dependent and decreased in the order Fe >\u00a0Zn >\u00a0Cu deficiency. We observed a stronger expression of PS pathway genes and greater PS exudation in the barley line with large micronutrient grain yield suggesting that a highly expressed PS pathway might be an important trait involved in high micronutrient accumulation. In addition to several metal specific transporters, we also found that the expression of IRO2 and bHLH156 transcription factors was not only induced under Fe but also under Zn and Cu deficiency. Our study delivers important insights into the role of the PS pathway in the acquisition of different micronutrients.", "keywords": ["2. Zero hunger", "Phytosiderophore", "/dk/atira/pure/subjectarea/asjc/1300/1311", "/dk/atira/pure/subjectarea/asjc/1100/1102", "Root exudation", "name=Genetics", "Iron", "/dk/atira/pure/subjectarea/asjc/1100/1110", "Hordeum", "Copper deficiency", "Plant Roots", "630", "Mugineic acid", "name=Agronomy and Crop Science", "Zinc", "Barley", "Humans", "Micronutrients", "name=Plant Science", "Biofortification", "Copper"]}, "links": [{"href": "https://doi.org/37992897"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "37992897", "name": "item", "description": "37992897", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/37992897"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-01T00:00:00Z"}}, {"id": "3c0c77b5-bdc7-44e0-a43a-daddbee4b804", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Elements"}, {"id": "pH"}, {"id": "Carbon"}, {"id": "Soil pore system"}, {"id": "Iron"}, {"id": "Aluminium"}, {"id": "Manganese"}, {"id": "Phosphorus"}, {"id": "Fractionation"}, {"id": "Calcium"}, {"id": "Potassium"}, {"id": "Magnesium"}, {"id": "Zinc"}, {"id": "Soil sorption"}, {"id": "Soil density"}, {"id": "Nitrogen content"}, {"id": "Sulphur"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}, {"id": "Bodennutzung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "phosphorus fractionation"}, {"id": "phosphorus sorption capacity"}, {"id": "degree of phosphorus sorption"}, {"id": "oxalate-extraxtable"}, {"id": "dithionite-extractable"}, {"id": "opendata"}], "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 BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2022-04-08", "type": "Dataset", "created": "2020-03-31", "language": "eng", "title": "Lysimeter data Rostock: pH, density, pore volume and element concentrations in soil (Data collection)", "description": "The dataset contains soil parameter data for soils from three sampling depths of three soil profiles from along a hill slope in Northern Germany. Monoliths of these profiles were later used in lysimeter experiments. Data inform about soil bulk density, pore volume, pH (CaCl2), total element concentrations (Al, Ca, Fe, K, Mg, Mn, P, Zn), total P of different P pools (H2O-P, resin-P, NaHCO3-P, NaOH-P, H2SO4-P, residual-P), oxalate and dithionite extractable pedogenic Al, Fe, Mn-(hydr)oxides, as well as P sorption capacity (PSC) and degree of P saturation (DPS). They are published in Baumann et al. 2020, Speciation and sorption of phosphorus in agricultural soil profiles of redoximorphic character, EGAH, doi: 10.1007/s10653-020-00561-y \n\nResearch area: Soil science\n\nResearch question: Controlled drainage may affect phosphorus mobilization in soil. To assess the P mobilization potential, three soil profiles with redoximorphic features were selected along a slight hill slope and soil samples were taken from three different depths. For each depth, soil bulk density, pore volume, pH (CaCl2), total element concentrations (Al, Ca, Fe, K, Mg, Mn, P, Zn), total P of different P pools (H2O-P, resin-P, NaHCO3-P, NaOH-P, H2SO4-P, residual-P), oxalate and dithionite extractable pedogenic Al, Fe, Mn-(hydr)oxides, as well as P sorption capacity (PSC) and degree of P saturation (DPS) were determined. Thereby, soil bulk density and pore volume give basic soil information about e.g. soil compaction and thus aeration. Soil pH determines e.g. mineral equilibria as well as biological processes. Total element concentrations give information about e.g. available nutrients including total P. P pools give a hint on e.g. P binding. Oxalate extractions inform about elements derived from poorly crystalline pedogenic oxides, dithionite extractions about elements derived from well crystallized oxides. PSC and DPS, calculated from oxalate extractions, give information about P sorption capacity of the soil and the degree of P saturation. Since soil profiles were excavated during lysimeter monolith sampling, parameters of the soils also reflect the monolith soil parameters at different depths in the lysimeters.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Elements", "pH", "Carbon", "Soil pore system", "Iron", "Aluminium", "Manganese", "Phosphorus", "Fractionation", "Calcium", "Potassium", "Magnesium", "Zinc", "Soil sorption", "Soil density", "Nitrogen content", "Sulphur", "Boden", "Bodennutzung", "phosphorus fractionation", "phosphorus sorption capacity", "degree of phosphorus sorption", "oxalate-extraxtable", "dithionite-extractable", "opendata"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock", "position": "post-doc", "roles": ["author"], "phones": [{"value": "+49 381 498 3184"}], "emails": [{"value": "karen.baumann@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 381 498 3120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=3c0c77b5-bdc7-44e0-a43a-daddbee4b804", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/906cdf90-8ee0-4e9f-b13a-68e2175810ef", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3c0c77b5-bdc7-44e0-a43a-daddbee4b804", "name": "item", "description": "3c0c77b5-bdc7-44e0-a43a-daddbee4b804", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3c0c77b5-bdc7-44e0-a43a-daddbee4b804"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "42de8d2d-b676-4458-aeea-4cc992b2ff55", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.72, 47.23], [5.72, 54.62], [15.3, 54.62], [15.3, 47.23], [5.72, 47.23]]]}, "properties": {"updated": "2024-11-07T14:36:37", "type": "Service", "created": "2011-11-28", "language": "ger", "title": "First soil condition survey in the forest (BZE Forest I)", "description": "Die bundesweite Bodenzustandserhebung im Wald (BZE Wald) ist Bestandteil\n    des forstlichen Umweltmonitorings. Die BZE I erhob einmalig an ca. 1.800\n    Stichprobenpunkten den Zustand von Waldb\u00f6den. Au\u00dfer dem Waldboden\n    wurden auch die Baumbestockung und der Kronenzustand untersucht.\n    Verkn\u00fcpfungen bestanden teilweise mit ICP Forests Level I und der\n    Waldzustandserhebung (WZE).\n\nVerteilung Probenahmestandorte: 8 x 8 km-Raster (in manchen Bundesl\u00e4ndern verdichtet)\n\nProbennahmemethode:\n\u2022 Probenentnahme und Aufbereitung nach BML 1990: Bundesweite Bodenzustandserhebung im Wald (BZE). Arbeitsanleitung, Bonn, Neuauflage 1994\n\u2022 Satellitenbeprobung mit einem Bodenprofil am BZE-Mittelpunkt\n\u2022 Probenahme f\u00fcr die chemischen Analysen nach Tiefenstufen\n\u2022 Methodische Abweichungen einzelner Bundesl\u00e4nder von der gemeinsamen Arbeitsanleitung sind beschrieben in BMELV 2007: Ergebnisse der bundesweiten Bodenzustandserhebung im Wald I, Band 1 (1996, \u00fcberarbeite Version von 2007) http://bfh-web.fh-eberswalde.de/bze/front_content.php?idcat=107&idart=163.\n\nEntnahmetiefe(n):\n\u2022 0 bis 5 cm\n\u2022 5 bis 10 cm\n\u2022 10 bis 30 cm\n\u2022 30 bis 60 cm\n\u2022 60 bis 90 cm\n\u2022 sofern m\u00f6glich auch 90 bis 140 cm, 140 bis 200 cm\n\nUntersuchungsmethode(n):\nAnalyse nach BML 1990: Bundesweite Bodenzustandserhebung im Wald (BZE). Arbeitsanleitung, Bonn, Neuauflage 1994\n\nArbeitsgruppen / Gremien:\nBund-/L\u00e4nder-AG BZE des Bundesministeriums f\u00fcr Ern\u00e4hrung, Landwirtschaft und Verbraucherschutz (BMELV)\n\nR\u00e4umliche Aufl\u00f6sung der bereitgestellten Daten:\n4x4 km (aggregierte Kachel des JRC-Soil-Grids: http://eusoils.jrc.ec.europa.eu/library/reference_grids/reference_grids.cfm )", "formats": [{"name": "OGC:WMS-http-get-capabilities"}], "keywords": ["inspireidentifiziert", "opendata", "infoMapAccessService", "WMS", "National", "BZE", "Bodenzustandserhebung", "Wald", "Bodenfunktion", "Bodenkarte", "Bodennutzbarkeit", "WO", "Wald\u00f6kologie", "Waldinventur", "Bodenmessaktivit\u00e4t", "Aufnahmesituation", "Blattgehalt", "Buche", "Elementvorrat", "Humusstatus", "Kronenzustand", "Kationenaustauschverh\u00e4ltnisse", "Nadelgehalt", "Fichte", "Kiefer", "Bestockungstyp", "Substratgruppe", "Bodentyp", "Podsoligkeit", "H\u00f6he", "pH", "H2O", "KCL", "S\u00e4urebelastungsrisiko", "Kupfer", "Cu", "Calcium", "Ca", "Magnesium", "Mg", "Kalium", "K", "Stickstoff", "N", "Kohlenstoff", "C", "Humusform", "Spurenlemente", "Hauptn\u00e4hrelemente", "C/N", "C/P", "Phosphor", "P", "Aluminium", "Al", "Basens\u00e4ttigung", "Eisen", "Fe", "Elastizit\u00e4t", "Mangan", "Mn", "Wasserstoff", "H+", "Schadstufe", "Verf\u00e4rbung", "Schwefel", "S", "Zink", "Zn", "Blei", "Pb", "Cadmium", "Cd", "Nadeljahrgang", "Elementgehalt", "Bodenfeststoff", "B\u00e4ume", "Baum", "Schwermetallgehalt", "Schwermetallvorrat", "Schwermetallvorr\u00e4te", "Protonens\u00e4ttigung", "Kohlenstoffgehalt", "Kohlenstoffvorrat", "Bodenfeststoff", "Bodenl\u00f6sung", "Krone", "Stamm", "Blatt", "Bl\u00e4tter", "Nadeln", "Boden"], "contacts": [{"name": null, "organization": "Th\u00fcnen-Institut f\u00fcr Wald\u00f6kosysteme", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "geomd-wo@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Deutschland"}], "links": [{"href": {"url": "https://www.thuenen.de/de/wo", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}], "themes": [{"concepts": [{"id": "National"}], "scheme": "Spatial scope"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "title_alternate": "Darstellungsdienst"}, "links": [{"href": "https://inspire.thuenen.de/geoserver/bze1_wald/ows?service=WMS&version=1.3.0&request=GetCapabilities", "name": "GetCapabilities-Request (WMS)", "description": "GetCapabilities-Dokument (Selbstbeschreibung des Dienstes)", "protocol": "OGC:WMS-http-get-capabilities", "rel": "information"}, {"href": "https://inspire.thuenen.de/geoserver/bze1_wald/ows?service=WMS&version=1.3.0&request=GetCapabilities", "description": "GetCapabilities-Dokument (Selbstbeschreibung des Dienstes)", "protocol": "WWW:LINK-1.0-http--link"}, {"href": "https://gdi-catalog.bmel.de/srv/api/records/42de8d2d-b676-4458-aeea-4cc992b2ff55/attachments/small.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "42de8d2d-b676-4458-aeea-4cc992b2ff55", "name": "item", "description": "42de8d2d-b676-4458-aeea-4cc992b2ff55", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/42de8d2d-b676-4458-aeea-4cc992b2ff55"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2024-11-07T14:36:37Z"}}, {"id": "50|a9ac50f576aa::050e02bbdc40f5a1b1c2a96e104efedf", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:19Z", "type": "Report", "title": "Groundwater Monitoring of PFAS in France: Current status and challenges", "description": "Open AccessIn France, two thirds of the water abstracted for drinking water supply comes from groundwater, so monitoring PFAS in this environment is essential to document the spatial distribution and evolutionary dynamics and to anticipate potential impacts on water quality. This article looks at the evolution of PFAS monitoring in groundwater in France and the progress regarding PFAS monitoring challenges adressed in the framework of the H2020 PROMISCES project.", "keywords": ["CIC", "[SDE] Environmental Sciences", "[SDE]Environmental Sciences", "PFAS", "groundwater", "Fate and transport", "total PFAS analysis"], "contacts": [{"organization": "Lions, Julie, Henriot, Abel, Togola, Anne, Lopez, Benjamin, Merly, Corinne,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|a9ac50f576aa::050e02bbdc40f5a1b1c2a96e104efedf"}, {"rel": "self", "type": "application/geo+json", "title": "50|a9ac50f576aa::050e02bbdc40f5a1b1c2a96e104efedf", "name": "item", "description": "50|a9ac50f576aa::050e02bbdc40f5a1b1c2a96e104efedf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|a9ac50f576aa::050e02bbdc40f5a1b1c2a96e104efedf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "6557043a-ad8c-4e84-a557-0fca9a8fee92", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "spring barley"}, {"id": "elements"}, {"id": "dry matter"}, {"id": "carbon"}, {"id": "nitrogen"}, {"id": "sulphur"}, {"id": "aluminium"}, {"id": "calcium"}, {"id": "iron"}, {"id": "potassium"}, {"id": "magnesium"}, {"id": "manganese"}, {"id": "phosphorus"}, {"id": "zinc"}, {"id": "straw"}, {"id": "barley straw"}, {"id": "grain"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Ertrag (landwirtschaftlich)"}, {"id": "Kulturpflanze"}, {"id": "Landwirtschaftliche Anlagen und Aquakulturanlagen"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2022-04-08", "type": "Dataset", "created": "2021-04-06", "language": "eng", "title": "Lysimeter data Rostock: dry mass and element concentrations of spring barley in 2019 (Data collection)", "description": "The dataset contains yields and element concentrations of spring barley grown in lysimeters under varying redox conditions on three soil profiles from along a hill slope in Northern Germany in 2019. Data inform about dry mass of straw and grain as well as about total C, N, S, Al, Fe, Mn, Ca, K, Mg, P, and Zn in plant parts. They are published in Baumann et al. 2020, Phosphorus cycling and spring barley crop response to varying redox potential, Vadose Zone J., DOI: 10.1002/vzj2.20088\n\nResearch domain: Plant Nutrition\n\nResearch question: Controlled drainage may affect element mobilization in soil, in particular phosphorus. Three soil profiles with redoximorphic features were selected from along a slight hill slope to establish three lysimeter monoliths. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. After 19 weeks of varying redox conditions in the lysimeter monoliths, spring barley growth and plant nutritional status were determined. Spring barley shoots were harvested and straw and grain dry matter as well as element concentrations of plant parts were determined to gain information about plant element uptake as affected by varying redox conditions.", "formats": [{"name": "CSV"}], "keywords": ["spring barley", "elements", "dry matter", "carbon", "nitrogen", "sulphur", "aluminium", "calcium", "iron", "potassium", "magnesium", "manganese", "phosphorus", "zinc", "straw", "barley straw", "grain", "opendata", "Ertrag (landwirtschaftlich)", "Kulturpflanze", "Landwirtschaftliche Anlagen und Aquakulturanlagen"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock", "position": "post-doc", "roles": ["author"], "phones": [{"value": "493 814 983 184"}], "emails": [{"value": "karen.baumann@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "493 814 983 120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=6557043a-ad8c-4e84-a557-0fca9a8fee92", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/906cdf90-8ee0-4e9f-b13a-68e2175810ef", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "6557043a-ad8c-4e84-a557-0fca9a8fee92", "name": "item", "description": "6557043a-ad8c-4e84-a557-0fca9a8fee92", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6557043a-ad8c-4e84-a557-0fca9a8fee92"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.02, 52.76], [9.02, 52.76], [9.03, 52.76], [9.03, 52.76], [9.02, 52.76]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Bodenbedeckung"}, {"id": "Bodennutzung"}, {"id": "Landwirtschaftliche Anlagen und Aquakulturanlagen"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Shoots"}, {"id": "Plant parts"}, {"id": "nutrient balance"}, {"id": "Avena"}, {"id": "Avena nuda"}, {"id": "Poaceae"}, {"id": "Mustard"}, {"id": "Sinapis alba"}, {"id": "Phacelia tanacetifolia"}, {"id": "Trifolium alexandrinum"}, {"id": ",biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "Elements"}, {"id": "Nitrogen"}, {"id": "Nitrogen content"}, {"id": "Phosphorus"}, {"id": "Carbon"}, {"id": "Magnesium"}, {"id": "Potassium"}, {"id": "Boron"}, {"id": "Aluminium"}, {"id": "Manganese"}, {"id": "Sulphur"}, {"id": "Zinc"}, {"id": "Iron"}, {"id": "Copper"}, {"id": "Calcium"}, {"id": "Catch cropping"}, {"id": "Crop rotation"}, {"id": "cropping systems"}, {"id": "Biological competition"}, {"id": "Interspecific competition"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Shoot biomass"}, {"id": "catch crops"}, {"id": "mineral elements"}, {"id": "macro elements"}, {"id": "micro elements"}, {"id": "C/N ratio"}, {"id": "plant nutrition"}, {"id": "ICP-OES"}, {"id": "EA"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "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 BonaRes Module A-Project - CATCHY's research activities.\n\nAlthough every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-CATCHY and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2019-06-21", "type": "Dataset", "created": "2017-10-19", "language": "eng", "title": "Catch crop nutrient uptake 1st crop rotation cycle", "description": "A central aspect when including catch crops into a crop rotation is the conservation of nutrients in their biomass for the subsequently grown crop. Therefore, it is important to qualify and to quantify the nutrient accumulation in the biomass of catch crop species. Since it was often described, that mixtures yield higher biomasses than pure stands of catch crops, we evaluated the nutrient scavenging potential of pure stands vs. mixtures. \nTest objects were the four species mustard, phacelia, bristle oat and Egyptian clover either grown in pure stands (sowing densities: mustard - 300, phacelia - 706, bristle oat - 588, Egyptian clover - 833) or in a 4-species mixture (sowing densities: mustard - 67, phacelia - 294, bristle oat - 53, Egyptian clover - 233). Additionally, a commercial mixture of the DSV with a higher species diversity called TerraLife MaisPro was included in the experiment. Their single-species nutrient accumulation was evaluated after 2.5 months of cultivation in total shoot material (dryed for 3 d at 80 \u00b0C and ground in a mill) obtained from two sites in Germany (Asendorf - Lower Saxony and Triesdorf - Bavaria), and at two initial starting points of the respective wheat-catch crop-maize long-term rotation (2015 and 2016) - in total 4 test environments. \nGenerally, nutrient concentrations in the shoot biomass often followed species-specific patterns, e.g. phacelia and oat which are described to have a shallow root system with a high amount of fine roots in the upper soil layers had consistently highest P and K concentrations, S, which is prone to leaching, was most concentrated in the cruciferous species mustard, Ca concentration was highest in phacelia but very low abundant in oat as grass species or Mg was highest in clover since photosynthesis rate must be kept high because biologically fixed N has to be incorporated into carbon skeletons. Increasing interspecific competition in the mix (at higher plant survival rates or at vigorous plant development) favored higher concentrations of several nutrients in some of the species, e.g. higher P concentration in phacelia when cultivated in the 4-species mix. Non-favorable conditions like less water availability led, against this, to higher N concentrations in clover likely due to the establishment of N fixation (Triesdorf 2015 and Asendorf 2016).\nHowever, total nutrient scavenging was largely influenced by the biomass formed by a catch crop variant. In this case, above-ground nutrient conservation capacities were mostly equally high in mustard, phacelia, partially oat and the mixed cultures. Only in one test environment (Triesdorf 2016) where quite loose pure stands established, the mixed cultivation offered a larger nutrient conservation capacity via the production of higher total biomass.", "formats": [{"name": "CSV"}], "keywords": ["Bodenbedeckung", "Bodennutzung", "Landwirtschaftliche Anlagen und Aquakulturanlagen", "Shoots", "Plant parts", "nutrient balance", "Avena", "Avena nuda", "Poaceae", "Mustard", "Sinapis alba", "Phacelia tanacetifolia", "Trifolium alexandrinum", "", "biomass", "biomass", "biomass", "biomass", "biomass", "biomass", "Elements", "Nitrogen", "Nitrogen content", "Phosphorus", "Carbon", "Magnesium", "Potassium", "Boron", "Aluminium", "Manganese", "Sulphur", "Zinc", "Iron", "Copper", "Calcium", "Catch cropping", "Crop rotation", "cropping systems", "Biological competition", "Interspecific competition", "Shoot biomass", "catch crops", "mineral elements", "macro elements", "micro elements", "C/N ratio", "plant nutrition", "ICP-OES", "EA", "opendata", "Boden"], "contacts": [{"name": "Heuermann, Diana", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Staff member (Molecular Plant Nutrition)", "roles": ["author"], "phones": [{"value": "0049394825514"}], "emails": [{"value": "heuermannd@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Wir\u00e9n, Nicolaus von", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Department head", "roles": ["projectLeader"], "phones": [{"value": "0049 39482 5603"}], "emails": [{"value": "vonwiren@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "roles": ["contributor"]}], "title_alternate": "Nutrient accumulation in the biomass of catch crop species in pure stands vs. mix at the beginning of a wheat-catch crop-maize long-term rotation"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "name": "item", "description": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8d34ddab-2bc9-4288-869b-a4afdd68f0dd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-21T00:00:00Z"}}, {"id": "PMC11987015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:31:02Z", "type": "Journal Article", "created": "2025-03-27", "title": "Enhancing Zinc Bioavailability in Rice Using the Novel Synthetic Siderophore Ligand Proline-2\u2032-Deoxymugineic Acid (PDMA): Critical Insights from Metal Binding Studies and Geochemical Speciation Modeling", "description": "Bioavailable ligands that bind metals mediate their uptake in plants, leading to the study of artificial ligands as potential fertilizers. Proline-2'-deoxymugineic acid (PDMA) has shown a high affinity for FeIII, enhancing iron uptake in rice and suggesting that it could be used for improving zinc uptake. This work studied chemical solution parameters, i.e., redox potential, ion strength, pH, and ligand/metal concentrations controlling ZnII-PDMA complex formation in rice-producing soils using geochemical speciation modeling. We show that PDMA is generally selective for ZnII in reducing, saline, and alkaline soil solutions. Comparison with a recent micronutrient uptake study in rice suggests that free PDMA should be added in reducing conditions to avoid competition with CuII and FeIII or as the ZnII-PDMA complex at pH below 9. The Zn/M ratios (M = CuII, FeIII) needed to form stable ZnII-PDMA complexes were also identified. This study shows the promise of PDMA as a fertilizer to overcome zinc deficiencies in alkaline and flooded soils.", "keywords": ["Zinc", "Soil", "Proline", "Iron", "Siderophores", "Biological Availability", "Oryza", "Hydrogen-Ion Concentration", "Ligands", "Fertilizers", "Azetidinecarboxylic Acid"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.5c02128"}, {"href": "https://doi.org/PMC11987015"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Agricultural%20and%20Food%20Chemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC11987015", "name": "item", "description": "PMC11987015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC11987015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-27T00:00:00Z"}}, {"id": "aac58420-3ddc-49b3-8b03-c171e44b0283", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.02, 52.76], [9.02, 52.76], [9.03, 52.76], [9.03, 52.76], [9.02, 52.76]]]}, "properties": {"rights": "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 BonaRes Module A-Project - CATCHY's research activities. Although every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-CATCHY and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2021-03-01", "type": "Service", "created": "2019-01-09", "language": "eng", "title": "WMS Service of the dataset 'Shoot development and nutritional status of maize 1st crop rotation cycle'", "description": "This WMS Service includes spatial information used by datasets 'WMS Service of the dataset 'Shoot development and nutritional status of maize 1st crop rotation cycle''", "keywords": ["infoMapAccessService", "Zea mays", "Poaceae", "Shoots", "leaves", "Nitrates", "Nitrogen", "Elements", "Chlorophylls", "nutrient cycling in ecosystems", "Plant morphology", "Catch cropping", "Crop rotation", "Catch crops", "Sinapis alba", "Phacelia tanacetifolia", "Mustard", "Trifolium alexandrinum", "Mustard", "Phacelia", "oats", "maize", "Phosphorus", "Potassium", "Iron", "Carbon", "Magnesium", "Zinc", "Manganese", "Tillering", "biomass", "opendata"], "contacts": [{"name": "Heuermann, Diana", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Staff member (Molecular Plant Nutrition)", "roles": ["author"], "phones": [{"value": "0049 39482 5514"}], "emails": [{"value": "heuermannd@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Wir\u00e9n, Nicolaus von", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Department head", "roles": ["projectLeader"], "phones": [{"value": "0049 39482 5603"}], "emails": [{"value": "vonwiren@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - 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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 BonaRes Module A-Project - CATCHY's research activities. Although every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-CATCHY and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2022-09-14", "type": "Service", "created": "2017-10-19", "language": "eng", "title": "WMS Service of the dataset 'Catch crop nutrient uptake 1st crop rotation cycle'", "description": "This WMS Service includes spatial information used by datasets 'AGIS Map Service of the dataset 'Catch crop nutrient uptake 1st crop rotation cycle''", "keywords": ["infoMapAccessService", "Shoots", "Plant parts", "nutrient balance", "Avena", "Avena nuda", "Poaceae", "Mustard", "Sinapis alba", "Phacelia tanacetifolia", "Trifolium alexandrinum", "biomass", "biomass", "biomass", "biomass", "biomass", "biomass", "Elements", "Nitrogen", "Nitrogen content", "Phosphorus", "Carbon", "Magnesium", "Potassium", "Boron", "Aluminium", "Manganese", "Sulphur", "Zinc", "Iron", "Copper", "Calcium", "Catch cropping", "Crop rotation", "cropping systems", "Biological competition", "Interspecific competition", "Boden", "opendata"], "contacts": [{"name": "Heuermann, Diana", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Staff member (Molecular Plant Nutrition)", "roles": ["author"], "phones": [{"value": "0049394825514"}], "emails": [{"value": "heuermannd@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Wir\u00e9n, Nicolaus von", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Department head", "roles": ["projectLeader"], "phones": [{"value": "0049 39482 5603"}], "emails": [{"value": "vonwiren@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - 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In addition to substances that serve as nutrients for the plants, there are also pollutants in the soil which in higher concentrations can impair the growth of plants and animals. 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Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "13", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "20", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "34", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "41", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "48", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "62", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. 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