Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.
The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.
A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.
The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. 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The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. 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(e.g. 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: \u201cData re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SUSALPS's research activities.\u201d Although every care has been taken in preparing and testing the data, BonaRes Module A-Project- SUSALPS and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project-SUSALPS 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-SUSALPS 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": "2020-02-14", "type": "Dataset", "created": "2018-12-05", "language": "eng", "title": "SUSALPS temperature and volumetric soil water content Graswang Subplot 1 in Fendt intensiv", "description": "Grassland is a precious good. Grassland contributes to food security by providing fodder for dairy and beef farming, storing nutrients and increasing biodiversity. These functions that secure the fertility and yields of soil are jeopardized by climate change, especially in monane and alpine areas. In SUSALPS, scientists, authorities and farmers work together to investigate the influence of climate change on i) plant biodiversity, ii) C and N storage, iii) greenhouse gas exchange, iv) socio economic conditions that influence decision making of farmers. A central experimental aspect is the translocation of soil mesocosms from higher elevation to lower elevation (Esterberg site at 1200m, Graswang site at 860m, Fendt at 600m, Bayreuth at 300m). To reflect the spatial heterogeneity of soils, mesocosms from three different subplots approx. 100-300m apart from each other are translocated. Since temperatures are higher and precipitation is lower in lower elevation, the translocated mesocosms experience climate change. This dataset contains daily average soil temperature and volumetric soil water content in 5 and 15 cm depth. Treatment: Graswang Subplot 1 in Fendt intensiv Device: Decagon 5TM Timescale: Daily average Depths: 5 and 15 cm", "formats": [{"name": "CSV"}], "keywords": ["environmental factors", "water", "Soil analysis", "Soil", "soil amendments", "Soil biology", "Temperature profile", "moisture content", "Temperature", "Soil temperature", "soil profile", "soil moisture", "temperature", "farming systems", "Grassland management", "Grassland soils", "grasslands", "permanent grasslands", "agriculture", "agricultural practices", "Climatic change", "Boden", "opendata"], "contacts": [{"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": "Garmisch-Partenkirchen", "administrativeArea": null, "postalCode": "82467", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "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": "Karlsruhe Institute of Technology (KIT)", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=07388e86-f38b-469a-9910-6e24af66bbf5", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/217290dd-a23f-4734-96d5-71b878a2fca8", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "07388e86-f38b-469a-9910-6e24af66bbf5", "name": "item", "description": "07388e86-f38b-469a-9910-6e24af66bbf5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/07388e86-f38b-469a-9910-6e24af66bbf5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-08-11T00:00:00Z", "2018-10-09T00:00:00Z"]}}, {"id": "10.1002/joc.1276", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-28T16:14:33Z", "type": "Journal Article", "created": "2005-11-30", "title": "Very High Resolution Interpolated Climate Surfaces For Global Land Areas", "description": "(Uploaded by Plazi for the Bat Literature Project) We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered from a variety of sources and, where possible, were restricted to records from the 1950\u20132000 period. We used the thin-plate smoothing spline algorithm implemented in the ANUSPLIN package for interpolation, using latitude, longitude, and elevation as independent variables. We quantified uncertainty arising from the input data and the interpolation by mapping weather station density, elevation bias in the weather stations, and elevation variation within grid cells and through data partitioning and cross validation. Elevation bias tended to be negative (stations lower than expected) at high latitudes but positive in the tropics. Uncertainty is highest in mountainous and in poorly sampled areas. Data partitioning showed high uncertainty of the surfaces on isolated islands, e.g. in the Pacific. Aggregating the elevation and climate data to 10 arc min resolution showed an enormous variation within grid cells, illustrating the value of high-resolution surfaces. A comparison with an existing data set at 10 arc min resolution showed overall agreement, but with significant variation in some regions. A comparison with two high-resolution data sets for the United States also identified areas with large local differences, particularly in mountainous areas. Compared to previous global climatologies, ours has the following advantages: the data are at a higher spatial resolution (400 times greater or more); more weather station records were used; improved elevation data were used; and more information about spatial patterns of uncertainty in the data is available. Owing to the overall low density of available climate stations, our surfaces do not capture of all variation that may occur at a resolution of 1 km, particularly of precipitation in mountainous areas. In future work, such variation might be captured through knowledgebased methods and inclusion of additional co-variates, particularly layers obtained through remote sensing. Copyright \uf6d9 2005 Royal Meteorological Society.", "keywords": ["0106 biological sciences", "0301 basic medicine", "550", "Climate", "bats", "bat", "Precipitation", "precipitation", "01 natural sciences", "Error", "geographical information systems", "03 medical and health sciences", "precipitaci\u00f3n atmosf\u00e9rica", "Chiroptera", "1902 Atmospheric Science", "Animalia", "Chordata", "temperatura", "factores clim\u00e1ticos", "procesamiento de datos", "Temperature", "Uncertainty", "temperature", "Biodiversity", "15. Life on land", "GIS", "climatic factors", "Interpolation", "ANUSPLIN", "13. Climate action", "Mammalia", "sistemas de informaci\u00f3n geogr\u00e1fica", "data processing"]}, "links": [{"href": "https://doi.org/10.1002/joc.1276"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Climatology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/joc.1276", "name": "item", "description": "10.1002/joc.1276", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/joc.1276"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-01-01T00:00:00Z"}}, {"id": "0855ee83-c54e-4dba-992a-e945bb0632b9", "type": "Feature", "geometry": null, "properties": {"license": "http://dcat-ap.de/def/licenses/dl-by-de/2.0", "updated": "2025-08-21T10:04:58", "type": "Dataset", "language": "de", "title": "Characteristics of the water movement Brandenburg", "description": "This map is based on the legend units of the soil overview map with corresponding assignment of parameterized surface soil shapes. These represent a soil-forming society per unit of legend. The individual (surface) soil forms were subjected to parameters determined by field and laboratory tests. For this purpose, the corresponding parameters were statistically derived for the same horizon-substrate combinations (usually the median value). In the case of insufficient data, the characteristic values of the water movement were determined using the linking rule 1.12 (Hennings 2000) due to the better correspondence of the derived values with measured data from the characteristic value tables of the Soil Science Mapping Guide, 3rd edition, Hanover 1984, Table 49.", "formats": [{"name": "Download"}], "keywords": ["High value dataset", "aluminium", "bboxbebb", "blei", "boden", "bodenkunde", "bodenschutz", "cadmium", "chrom-iii", "cobalt", "de", "eisen-iii", "erdbeobachtung-und-umwelt", "geologie", "kupfer", "mangan", "nickel", "opendata", "quecksilber", "zink"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geo.brandenburg.de/?page=Boden---Auswertungen"}, {"href": "https://inspire.brandenburg.de/services/bowassverh_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://inspire.brandenburg.de/services/bowassverh_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "https://ogc-api.geobasis-bb.de/datasets/bowassverh"}, {"href": "http://data.europa.eu/88u/dataset/0855ee83-c54e-4dba-992a-e945bb0632b9~~1"}, {"rel": "self", "type": "application/geo+json", "title": "0855ee83-c54e-4dba-992a-e945bb0632b9", "name": "item", "description": "0855ee83-c54e-4dba-992a-e945bb0632b9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0855ee83-c54e-4dba-992a-e945bb0632b9"}, {"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": "085FBA88-D1FC-4CCD-BC94-CC208701068D", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-28T16:14:24Z", "type": "Dataset", "language": "de", "title": "Soil map of Germany 1:200,000 (BUEK200) - CC2310 Helgoland", "description": "The soil map 1:200,000 (BUEK200) is prepared by the Federal Institute for Geosciences and Natural Resources (BGR) in cooperation with the National Geological Surveys (SGD) of the federal states in the sheet line system of the Topographic Map 1:200,000 (TUEK200) and is published in 55 individual map sheets. The digital data management provides a detailed, nationwide uniform and comprehensive information base for statements on land use and soil protection across the states. Information about the current state of processing can be found on the BGR website about soil. The soil inventories and their spatial distribution on the territory of this map sheet is described in terms of 41 legend units structured by soil regions and landscapes. Each legend unit contains soil systematic information as well as information about the soil parent material of each dominant and associated soil.Last dataset update on June 16, 2009.", "formats": [{"name": "PDF"}], "keywords": ["bodenausgangsgestein", "bodenform", "bodengesellschaft", "bodeninformationssystem", "bodenprofil", "bodensubstrat", "bodensystematik", "bodentyp", "bremen", "de", "fachinformationssystem", "hamburg", "helgoland", "niedersachsen", "opendata", "schleswig-holstein", "soil"], "contacts": [{"organization": "Krug, Dietmar", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/2310/jpg/buek200_2310.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/2310/pdf/buek200_2310.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/2310/png/buek200_2310.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/2310/shp/buek200_2310.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/2310/tiff/buek200_2310.zip"}, {"href": "http://data.europa.eu/88u/dataset/b36cd520-a63b-4def-8f83-79de64e07236~~1"}, {"rel": "self", "type": "application/geo+json", "title": "085FBA88-D1FC-4CCD-BC94-CC208701068D", "name": "item", "description": "085FBA88-D1FC-4CCD-BC94-CC208701068D", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/085FBA88-D1FC-4CCD-BC94-CC208701068D"}, {"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": "08976908-c861-eb87-f572-c58b634a6e3d", "type": "Feature", "geometry": null, "properties": {"updated": "2025-04-15", "type": "Dataset", "title": "Soil \u2014 Natural yield potential", "description": "The Map Service (WMS Group) provides the spatial data from the soil of the Saarland.:The map service represents the natural yield potential of agricultural soils. The derivation was carried out indirectly on the basis of the map of the tolerable soil removal (T-value) in the scale of 1:100,000. Maximum scale 1:25000.", "formats": [{"name": "WMS_SRVC"}], "keywords": ["boden", "bodenfunktionen", "de", "hvd", "infomapaccessservice", "inspireidentifiziert", "opendata", "regional"]}, "links": [{"href": "https://geoportal.saarland.de/mapbender/php/wms.php?inspire=1&layer_id=36154&withChilds=1&REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/08976908-c861-eb87-f572-c58b634a6e3d"}, {"rel": "self", "type": "application/geo+json", "title": "08976908-c861-eb87-f572-c58b634a6e3d", "name": "item", "description": "08976908-c861-eb87-f572-c58b634a6e3d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/08976908-c861-eb87-f572-c58b634a6e3d"}, {"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": "08c0f8aa-afb4-4714-b8d7-638ca1df0e84", "type": "Feature", "geometry": null, "properties": {"license": "http://dcat-ap.de/def/licenses/dl-by-de/2.0", "updated": "2025-08-21T12:10:01", "type": "Dataset", "language": "de", "title": "Potenzielle Standorteignung f\u00fcr Erdw\u00e4rmekollektoren BB", "description": "Die Serie beinhaltet Daten vom LBGR \u00fcber die Potenzielle Standorteignung f\u00fcr Erdw\u00e4rmekollektoren Brandenburgs und wird \u00fcber je einen Darstellungs- und Downloaddienst bereitgestellt. Die im Boden / oberfl\u00e4chennahen Untergrund gespeicherte W\u00e4rmeenergie kann \u00fcber W\u00e4rmetauscher (sog. Erdw\u00e4rmekollektoren) gewonnen und von W\u00e4rmepumpen f\u00fcr Heizzwecke genutzt werden (Boden-Geothermie). In der Karte zur potentiellen Standorteignung f\u00fcr Erdw\u00e4rmekollektoren wird die Eignung des nat\u00fcrlich gelagerten, abgesetzten Bodens f\u00fcr diese Form der oberfl\u00e4chennahen, geothermischen Nutzung bewertet.", "formats": [{"name": "Download"}], "keywords": ["High value dataset", "boden", "de", "erdbeobachtung-und-umwelt", "geothermie", "opendata", "regional"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geo.brandenburg.de/?page=Boden---Auswertungen"}, {"href": "https://inspire.brandenburg.de/services/bogeothermie_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://inspire.brandenburg.de/services/bogeothermie_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "https://ogc-api.geobasis-bb.de/datasets/bogeothermie"}, {"href": "http://data.europa.eu/88u/dataset/08c0f8aa-afb4-4714-b8d7-638ca1df0e84~~2"}, {"rel": "self", "type": "application/geo+json", "title": "08c0f8aa-afb4-4714-b8d7-638ca1df0e84", "name": "item", "description": "08c0f8aa-afb4-4714-b8d7-638ca1df0e84", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/08c0f8aa-afb4-4714-b8d7-638ca1df0e84"}, {"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": "08eff4d5-be05-ae05-80ac-dc0ecdadf797", "type": "Feature", "geometry": null, "properties": {"updated": "2025-02-25", "type": "Dataset", "title": "Boden_WFS \u2013 Location Typisie_Biotope Development Potential \u2013 OGC WFS Interface", "description": "The Map Service (WFS Group) presents data from the topic of soil.:Site typing and biotope development potential", "formats": [{"name": "INSPIRE DOWNLOAD SERVICE"}], "keywords": ["boden", "bodenfunktionen", "de", "infofeatureaccessservice", "inspireidentifiziert", "opendata"], "contacts": [{"organization": "Geodatenzentrum", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.saarland.de/mapbender/php/wfs.php?INSPIRE=1&FEATURETYPE_ID=1171&REQUEST=GetCapabilities&SERVICE=WFS&VERSION=2.0.0"}, {"href": "http://data.europa.eu/88u/dataset/08eff4d5-be05-ae05-80ac-dc0ecdadf797"}, {"rel": "self", "type": "application/geo+json", "title": "08eff4d5-be05-ae05-80ac-dc0ecdadf797", "name": "item", "description": "08eff4d5-be05-ae05-80ac-dc0ecdadf797", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/08eff4d5-be05-ae05-80ac-dc0ecdadf797"}, {"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": "0922c6de-d6d2-4259-94a8-3fad61853281", "type": "Feature", "geometry": null, "properties": {"license": "http://dcat-ap.de/def/licenses/dl-by-de/2.0", "updated": "2025-09-02T10:09:19", "type": "Dataset", "language": "de", "title": "INSPIRE Soil / FESCH - Graveholes Ground Estimation BB", "description": "The interoperable INSPIRE dataset includes data from the LBGR on the Brandenburg burial hole soil estimation (with and without strata description), transformed into the INSPIRE target soil scheme. The dataset is provided via an interoperable display and download service. --- The compliant INSPIRE data set contains data of the soil pits of the soil survey Brandenburg (with and without layer-description) from the LBGR, transformed into the INSPIRE annex schema Soil. The data set is provided via compliant view and download services.", "formats": [{"name": "WFS_SRVC"}], "keywords": ["High value dataset", "boden", "bodengeologie", "bodenkunde", "bodenschutz", "brandenburg", "de", "erdbeobachtung-und-umwelt", "geologie", "grablo\u0308cher", "inspireidentifiziert", "interoperabel", "interoperability", "interoperable-daten", "observedsoilprofile", "om_observation", "opendata", "process", "regional", "soil", "soillayer", "soilplot"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://inspire.brandenburg.de/services/so_grabloecher_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://inspire.brandenburg.de/services/so_grabloecher_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/0922c6de-d6d2-4259-94a8-3fad61853281~~1"}, {"rel": "self", "type": "application/geo+json", "title": "0922c6de-d6d2-4259-94a8-3fad61853281", "name": "item", "description": "0922c6de-d6d2-4259-94a8-3fad61853281", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0922c6de-d6d2-4259-94a8-3fad61853281"}, {"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": "0940cd07-5ee9-4eb5-9fb4-78e438acf429", "type": "Feature", "geometry": null, "properties": {"license": "http://dcat-ap.de/def/licenses/cc-by/4.0", "updated": "2025-05-27T00:00:00Z", "type": "Dataset", "language": "de", "title": "Soils worthy of protection in Lower Saxony 1 : 50 000 - Soils with specific site characteristics", "description": "Die Karte zeigt die Bewertung der Schutzw\u00fcrdigkeit von B\u00f6den in Niedersachsen im Hinblick auf die Auspr\u00e4gung extremer Standorteigenschaften. Zu den besonders schutzw\u00fcrdigen B\u00f6den z\u00e4hlen B\u00f6den, welche die nat\u00fcrlichen Funktionen sowie die Archivfunktion in besonderem Ma\u00dfe erf\u00fcllen. Beeintr\u00e4chtigungen dieser Funktionen sollen gem\u00e4\u00df Bodenschutzrecht vermieden werden (vgl. \u00a71 BBodSchG). B\u00f6den mit besonderen Standorteigenschaften sind B\u00f6den mit extremer Auspr\u00e4gung einzelner, den Standort wesentlich bestimmenden Eigenschaften (z. B. Feuchte, Trockenheit, N\u00e4hrstoffspeicherkapazit\u00e4t, Pufferbereich). Sie zeigen oft Standorte an, die g\u00fcnstige Voraussetzungen f\u00fcr die Entwicklung besonderer Biotope bieten. Die ausgewiesenen besonders schutzw\u00fcrdigen B\u00f6den auf Basis der BK50 stellen ma\u00dfstabsbedingt Suchr\u00e4ume dar. Diese k\u00f6nnen bei Bedarf im Rahmen von gro\u00dfma\u00dfst\u00e4bigen Kartierungen detaillierter ausdifferenziert werden. Die Methoden zur Ermittlung der Schutzw\u00fcrdigkeit von B\u00f6den in Niedersachsen sind ausf\u00fchrlich in Geoberichte 8 (Bug et al. 2019) beschrieben. Grundlage der Auswertungen ist die Bodenkarte von Niedersachsen 1 : 50 000 (BK50). Extrem nasse B\u00f6den haben eine Bodenkundliche Feuchtestufe von 9 -11, extrem trockene B\u00f6den eine Bodenkundliche Feuchtestufe von 0 oder 1. Salzreiche B\u00f6den sind solche der Rohmarsch, Salzb\u00f6den im Binnenland oder das Sehestedter \u201eSalzmoor\u201c (au\u00dfendeichs).", "formats": [{"name": "TIFF"}], "keywords": ["boden", "de", "inspireidentifiziert", "nibis-metadaten", "opendata", "regional", "sgd_boden"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Energie und Geologie (LBEG)", "roles": ["creator"]}]}, "links": [{"href": "https://nibis.lbeg.de/net3/public/ogc.ashx?NodeId=1008&Service=WFS&Request=GetCapabilities&"}, {"href": "http://data.europa.eu/88u/dataset/0940cd07-5ee9-4eb5-9fb4-78e438acf429~~1"}, {"rel": "self", "type": "application/geo+json", "title": "0940cd07-5ee9-4eb5-9fb4-78e438acf429", "name": "item", "description": "0940cd07-5ee9-4eb5-9fb4-78e438acf429", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0940cd07-5ee9-4eb5-9fb4-78e438acf429"}, {"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": "095e6b23-c1c2-4b7f-a031-5e2ab1bb6853~~1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-28T16:14:24Z", "type": "Dataset", "language": "de", "title": "Bodenkarte Dresden 2024", "description": "Die Bodenkarte Dresden 2024 basiert auf der umfangreichen Neukartierung der unbesiedelten Bereiche im Zeitraum 2018 bis 2023 und auf Altdaten der Landeskartierung (BK 50, FSK, Bodensch\u00e4tzung). Die Karte soll zuk\u00fcnftig Grundlage des vorsorgenden Bodenschutzes in Dresden werden und dient der Erf\u00fcllung der gesetzlichen sowie weiterer Aufgaben im Umweltschutz. Sie ist Vorausetzung f\u00fcr die Bewertung von B\u00f6den nach Bundesbodenschutzgesetz (BBodSchG), f\u00fcr die Ermittlung von Funktionen und \u00d6kosystemdienstleistungen und f\u00fcr Schutz und Erhaltung wertvoller B\u00f6den. Die erstmals blockfreie Stadtbodenkarte wurde 2023 mit Hilfe von geologischen, bodenkundlichen und Nutzungsdaten erstellt und in Substratgruppen zusammengefasst. Sie hat nach wie vor Konzeptcharakter, da es an bodenkundlichen Aufschl\u00fcssen und Analysen mangelt. Es wurden Mindestfl\u00e4chengr\u00f6\u00dfen (Fl\u00e4chenfallen) verwendet. Die grafische Darstellung erfolgt \u00fcber substratmorphologische Merkmale.", "keywords": ["boden", "bodenform", "bodentyp", "de", "opendata", "stadtboden"], "contacts": [{"organization": "Landeshauptstadt Dresden", "roles": ["creator"]}]}, "links": [{"href": "http://data.europa.eu/88u/dataset/095e6b23-c1c2-4b7f-a031-5e2ab1bb6853~~1"}, {"rel": "self", "type": "application/geo+json", "title": "095e6b23-c1c2-4b7f-a031-5e2ab1bb6853~~1", "name": "item", "description": "095e6b23-c1c2-4b7f-a031-5e2ab1bb6853~~1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/095e6b23-c1c2-4b7f-a031-5e2ab1bb6853~~1"}, {"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": "098db378-c27a-4910-87d4-addf856c17e8", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-03T00:00:00Z", "type": "Dataset", "title": "Basic registration of crop parcels (BRP) WFS", "description": "BRP \u2013 crop parcels consists of the location of agricultural parcels with the crop grown. The file is a selection of information from the Basic Registration Percels (BRP) of the Netherlands Enterprise Agency. The boundaries of the agricultural parcels are based on the agricultural area of the Netherlands (AAN). The user of the parcel must draw up his crop parcels annually and indicate which crop is grown on the parcel in question. For each year, a dataset is generated from 15 May. Of the most recent BRP crop parcels, a view services and a download service are available. BRP \u2013 crop parcels consists of the location of agricultural parcels with the crop grown. The file is a selection of information from the Basic Registration Percels (BRP) of the Netherlands Enterprise Agency. The boundaries of the agricultural parcels are based on the agricultural area of the Netherlands (AAN). The user of the parcel must draw up his crop parcels annually and indicate which crop is grown on the parcel in question. For each year, a dataset is generated from 15 May. Of the most recent BRP crop parcels, a view services and a download service are available.", "formats": [{"name": "INSPIRE DOWNLOAD SERVICE"}], "keywords": ["High value dataset", "bodem", "landbouw", "landgebruik", "nl", "veeteelt"]}, "links": [{"href": "https://service.pdok.nl/rvo/brpgewaspercelen/wfs/v1_0?request=GetCapabilities&service=WFS"}, {"href": "http://data.europa.eu/88u/dataset/098db378-c27a-4910-87d4-addf856c17e8"}, {"rel": "self", "type": "application/geo+json", "title": "098db378-c27a-4910-87d4-addf856c17e8", "name": "item", "description": "098db378-c27a-4910-87d4-addf856c17e8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/098db378-c27a-4910-87d4-addf856c17e8"}, {"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": "09AF7F8B-C32B-454F-A28E-8FA9899A19B4", "type": "Feature", "geometry": null, "properties": {"license": "http://dcat-ap.de/def/licenses/dl-by-de/2.0", "updated": "2025-08-07T21:58:57.534631", "type": "Dataset", "language": "de", "externalIds": [{"value": "https://metaver.de/cswhh"}], "title": "Soil sealing Hamburg", "description": "Sealing card: With the description of the extent of soil sealing, a quantitative overview of the expansion of urban settlement areas can be given as well as qualitative influences, e.g. on the urban climate and groundwater regeneration can be mapped. The description of the degree of sealing is based on the biotope mapping in Hamburg and will be updated every five years (latest processing status in 2021). In order to enable the comparative evaluation and the cartographic representation of the sealing degrees, a classification into sealing classes was additionally carried out - analogous to the procedure of previous evaluations - since the large number of different sealing degrees would make the results illegible. In order to achieve a high and yet clear resolution, class widths of 10% were chosen, which leads to the formation of a total of 10 classes (Class 1 = 0-10%, ..., Class 10 = 90-100%). If the wingspan of the degree of sealing was more than 10%, a sealing class was assigned that corresponded to the dominant sealing (e.g. single-house building, compacted - sealing degree 30-70% with predominantly 60 % = sealing class 6). The maps were edited and published in February 2022.", "formats": [{"name": "GML"}], "keywords": ["High value dataset", "boden", "de", "geodaten", "hvd", "umweltdaten"], "contacts": [{"organization": "Beh\u00f6rde f\u00fcr Umwelt, Klima, Energie und Agrarwirtschaft (BUKEA)", "roles": ["creator"]}]}, "links": [{"href": "http://metaver.de/trefferanzeige?docuuid=09AF7F8B-C32B-454F-A28E-8FA9899A19B4"}, {"href": "http://suche.transparenz.hamburg.de/dataset/bodenversiegelung-in-hamburg-2017-auswertung-sowie-vergleichende-bewertungen?forceWeb=true"}, {"href": "http://www.geoportal-hamburg.de/Geoportal/geo-online/index.html"}, {"href": "http://www.hamburg.de/fhh-permalink/135300"}, {"href": "https://api.hamburg.de/datasets/v1/versiegelung_bedeckung_hamburg"}, {"href": "https://geodienste.hamburg.de/download?url=https://geodienste.hamburg.de/wfs_versiegelung_bedeckung_hamburg&f=csv"}, {"href": "https://geodienste.hamburg.de/download?url=https://geodienste.hamburg.de/wfs_versiegelung_bedeckung_hamburg&f=json"}, {"href": "https://geodienste.hamburg.de/wfs_versiegelung_bedeckung_hamburg?SERVICE=WFS&VERSION=1.1.0&REQUEST=DescribeFeatureType&typename=de.hh.up:versiegelungskarte_50m_raster%252Cde.hh.up:versiegelungskarte_10m_raster%252Cde.hh.up:bodenbedeckung%252Cde.hh.up:versiegelungskarte_25m_raster"}, {"href": "https://geodienste.hamburg.de/wfs_versiegelung_bedeckung_hamburg?SERVICE=WFS&VERSION=1.1.0&REQUEST=GetFeature&typename=de.hh.up:versiegelungskarte_50m_raster%252Cde.hh.up:versiegelungskarte_10m_raster%252Cde.hh.up:bodenbedeckung%252Cde.hh.up:versiegelungskarte_25m_raster"}, {"href": "https://geodienste.hamburg.de/wfs_versiegelung_bedeckung_hamburg?Service=WFS&Version=1.1.0&Request=GetCapabilities"}, {"href": "https://geodienste.hamburg.de/wms_versiegelung_bedeckung_hamburg?Service=WMS&Version=1.3.0&Request=GetCapabilities"}, {"href": "http://data.europa.eu/88u/dataset/09af7f8b-c32b-454f-a28e-8fa9899a19b4~~2"}, {"rel": "self", "type": "application/geo+json", "title": "09AF7F8B-C32B-454F-A28E-8FA9899A19B4", "name": "item", "description": "09AF7F8B-C32B-454F-A28E-8FA9899A19B4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/09AF7F8B-C32B-454F-A28E-8FA9899A19B4"}, {"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": "09d868a2-7c5d-4cbb-a43f-5146a426b25f", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-08T13:33:30", "type": "Dataset", "language": "de", "title": "Soil functions and planning instructions 2015 (Environmental Atlas)", "description": "Six soil functions and the planning instructions for soil protection derived from them on the basis of Block Map 1: 5,000 (ISU5, spatial reference Environmental Atlas 2015), processing status December 2017.", "formats": [{"name": "HTML"}], "keywords": ["archivfunktion", "berlin", "boden", "de", "ertragsfunktion", "filterfunktion", "geodaten", "kulturpflanzen", "lebensraumfunktion", "leistungsfa\u0308higkeit", "naturgeschichte", "naturnahe", "natu\u0308rliche-bo\u0308den", "open-data", "opendata", "pflanzengesellschaften", "planungshinweise", "pufferfunktion", "regelungsfunktion", "umweltatlas", "wasserhaushalt"], "contacts": [{"organization": "Senatsverwaltung f\u00fcr Mobilit\u00e4t, Verkehr, Klimaschutz und Umwelt Berlin", "roles": ["creator"]}]}, "links": [{"href": "https://gdi.berlin.de/services/wfs/ua_boden_4_2015?REQUEST=GetCapabilities&SERVICE=wfs"}, {"href": "https://gdi.berlin.de/services/wfs/ua_boden_bodplan_2015?REQUEST=GetCapabilities&SERVICE=wfs"}, {"href": "https://gdi.berlin.de/services/wfs/ua_boden_leist_2015?REQUEST=GetCapabilities&SERVICE=wfs"}, {"href": "https://gdi.berlin.de/services/wfs/ua_boden_pufffkt_2015?REQUEST=GetCapabilities&SERVICE=wfs"}, {"href": "http://data.europa.eu/88u/dataset/09d868a2-7c5d-4cbb-a43f-5146a426b25f"}, {"rel": "self", "type": "application/geo+json", "title": "09d868a2-7c5d-4cbb-a43f-5146a426b25f", "name": "item", "description": "09d868a2-7c5d-4cbb-a43f-5146a426b25f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/09d868a2-7c5d-4cbb-a43f-5146a426b25f"}, {"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": "06af1400-76f1-471a-a38f-2caffadedda8~~1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-28T16:14:25Z", "type": "Dataset", "language": "de", "title": "Soil Map of Germany 1:200,000 (BUEK200) - CC5510 Siegen", "description": "The soil map 1:200,000 (BUEK200) is prepared by the Federal Institute for Geosciences and Natural Resources (BGR) in cooperation with the National Geological Surveys (SGD) of the federal states in the sheet line system of the Topographic Map 1:200,000 (TUEK200) and is published in 55 individual map sheets. The digital data management provides a detailed, nationwide uniform and comprehensive information base for statements on land use and soil protection across the states. Information about the current state of processing can be found on the BGR website about soil. The soil inventories and their spatial distribution on the territory of this map sheet is described in terms of 84 legend units structured by soil regions and landscapes. Each legend unit contains soil systematic information as well as information about the soil parent material of each dominant and associated soil. Last dataset update on December 3, 2013.", "formats": [{"name": "PDF"}], "keywords": ["bodenausgangsgestein", "bodenform", "bodengesellschaft", "bodeninformationssystem", "bodenprofil", "bodensubstrat", "bodensystematik", "bodentyp", "de", "fachinformationssystem", "hessen", "nordrhein-westfalen", "opendata", "rheinland-pfalz", "siegen", "soil"], "contacts": [{"organization": "Krug, Dietmar", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/jpg/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/pdf/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/png/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/shp/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/tiff/buek200_5510.zip"}, {"href": "http://data.europa.eu/88u/dataset/06af1400-76f1-471a-a38f-2caffadedda8~~1"}, {"rel": "self", "type": "application/geo+json", "title": "06af1400-76f1-471a-a38f-2caffadedda8~~1", "name": "item", "description": "06af1400-76f1-471a-a38f-2caffadedda8~~1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/06af1400-76f1-471a-a38f-2caffadedda8~~1"}, {"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": "0FFEBED0-E30C-4F11-AEA2-642221E908F5", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-14T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC4702 D\u00fcsseldorf", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 88 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Rahmen der Qualit\u00e4tssicherung wurde der LBG-Datensatz von D\u00fcsseldorf am n\u00f6rdlichen Blattrand leicht ver\u00e4ndert (Stand 22. Juli 2013).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "nordrhein-westfalen", "opendata", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/jpg/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/pdf/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/png/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/shp/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/tiff/buek200_4702.zip"}, {"href": "http://data.europa.eu/88u/dataset/0ffebed0-e30c-4f11-aea2-642221e908f5"}, {"rel": "self", "type": "application/geo+json", "title": "0FFEBED0-E30C-4F11-AEA2-642221E908F5", "name": "item", "description": "0FFEBED0-E30C-4F11-AEA2-642221E908F5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0FFEBED0-E30C-4F11-AEA2-642221E908F5"}, {"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": "0a095a15-b8cb-4268-872e-f01a40ccc5b5", "type": "Feature", "geometry": null, "properties": {"license": "http://dcat-ap.de/def/licenses/dl-by-de/2.0", "updated": "2025-08-21T13:42:24", "type": "Dataset", "language": "de", "title": "Substratart 2021 BB", "description": "Der Datensatz beinhaltet Daten vom LBGR \u00fcber die Substratart 2021 Brandenburgs und gibt eine aktualisierte Sicht auf die substratsystematische Einheit der Moorb\u00f6den f\u00fcr das Jahr 2021 wieder. Die substratsystematische Einheit wurde auf Grundlage der Daten von 2013, sowie mittlererweile aktualisierten Datenbest\u00e4nden abgeleitet und stellt eine aktualisierte Beschreibung der f\u00fcr das Jahr 2021 potentiell anzunehmenden Substratart dar.", "formats": [{"name": "Download"}], "keywords": ["High value dataset", "boden", "bodenkunde", "de", "erdbeobachtung-und-umwelt", "opendata"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geo.brandenburg.de/?page=Boden-Grundkarten"}, {"href": "https://inspire.brandenburg.de/services/moorkarte_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://inspire.brandenburg.de/services/moorkarte_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "https://ogc-api.geobasis-bb.de/datasets/moorkarte"}, {"href": "http://data.europa.eu/88u/dataset/0a095a15-b8cb-4268-872e-f01a40ccc5b5~~2"}, {"rel": "self", "type": "application/geo+json", "title": "0a095a15-b8cb-4268-872e-f01a40ccc5b5", "name": "item", "description": "0a095a15-b8cb-4268-872e-f01a40ccc5b5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0a095a15-b8cb-4268-872e-f01a40ccc5b5"}, {"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": "0a75022a-1cbc-0002-35ea-850fcef967dc", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[7.74, 49.39], [7.74, 51.66], [10.24, 51.66], [10.24, 49.39], [7.74, 49.39]]]}, "properties": {"license": "Lizenz: cc-by/4.0 - Creative Commons Namensnennung \u2013 4.0 International (CC BY 4.0) - http://creativecommons.org/licenses/by/4.0/ - Quellenvermerk: Source note required by license, but not given!", "updated": "2025-12-01", "type": "Service", "language": "ger", "title": "INSPIRE Download Service (predefined ATOM) f\u00fcr Datensatz LPIS (Referenz) 2022", "description": "Description of the INSPIRE Download Service (predefined Atom): Agricultural parcel identification system, a subsystem of the Integrated Administration and Control System (IACS) as defined in Article 68 of Regulation (EC) No 1306/2013. IACS subsystem as defined in Article 68 of Regulation (EC) No 1306/2013. Spatial data set defining reference parcels, types of agricultural land and stable ecological focus areas. - The link(s) for downloading the records is/are dynamically generated from Get Map calls to a WMS interface", "formats": [{"name": "INSPIRE Atom"}], "keywords": ["1c349fea-924b-488f-b6a2-e896f40ac897", "Gemeinsame Agrarpolitik", "http://data.europa.eu/bna/c_dd313021", "features", "inspireidentifiziert", "Landwirtschaft", "LPIS", "infoFeatureAccessService"], "contacts": [{"name": null, "organization": "EFTAS GmbH", "position": null, "roles": ["publisher"], "phones": [{"value": null}], "emails": [{"value": "michael.fischer@eftas.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "themes": [{"concepts": [{"id": "1c349fea-924b-488f-b6a2-e896f40ac897"}], "scheme": "mapbender.2.registryId"}]}, "links": [{"href": "https://www.geoportal.hessen.de/mapbender/php/mod_inspireDownloadFeed.php?id=ff0145fd-4518-3897-35ea-850fcef967dc&type=SERVICE&generateFrom=wmslayer&layerid=60008", "protocol": "INSPIRE Atom", "rel": null}, {"href": "https://www.geoportal.hessen.de/mapbender/php/mod_inspireDownloadFeed.php?id=ff0145fd-4518-3897-35ea-850fcef967dc&type=SERVICE&generateFrom=wmslayer&layerid=60008"}, {"rel": "self", "type": "application/geo+json", "title": "0a75022a-1cbc-0002-35ea-850fcef967dc", "name": "item", "description": "0a75022a-1cbc-0002-35ea-850fcef967dc", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0a75022a-1cbc-0002-35ea-850fcef967dc"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-01T00:00:00Z"}}, {"id": "0b4b1b81-5b2d-4645-b2ae-1ce62c302d34", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:57:28", "type": "Dataset", "language": "de", "title": "INSPIRE Soil / Wetting conditions Floor BB", "description": "Der interoperable INSPIRE-Datensatz beinhaltet Daten vom LBGR \u00fcber die Vern\u00e4ssungsverh\u00e4ltnisse Boden Brandenburg, transformiert in das INSPIRE-Zielschema Boden. Der Datensatz wird \u00fcber je einen interoperablen Darstellungs- und Downloaddienst bereitgestellt. --- The compliant INSPIRE data set contains data about the degree of waterlogging in the soil for the State of Brandenburg from the LBGR, transformed into the INSPIRE annex schema Soil. The data set is provided via compliant view and download services.", "formats": [{"name": "WFS_SRVC"}], "keywords": ["High value dataset", "bboxbebb", "boden", "bodenkunde", "bodenschutz", "brandenburg", "de", "depthinterval", "derivedsoilprofile", "erdbeobachtung-und-umwelt", "geologie", "ground-water", "grundwasser", "inspireidentifiziert", "interoperabel", "interoperability", "interoperable-daten", "oberboden", "om_observation", "opendata", "process", "regional", "soil", "soilderivedobject", "soillayer", "stagnant-water", "stauwasser", "verna\u0308ssungsverha\u0308ltnisse", "verna\u0308ssungsverha\u0308ltnisse-boden-brandenburg", "waterlogging"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://inspire.brandenburg.de/services/so_vern_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://inspire.brandenburg.de/services/so_vern_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/0b4b1b81-5b2d-4645-b2ae-1ce62c302d34~~2"}, {"rel": "self", "type": "application/geo+json", "title": "0b4b1b81-5b2d-4645-b2ae-1ce62c302d34", "name": "item", "description": "0b4b1b81-5b2d-4645-b2ae-1ce62c302d34", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0b4b1b81-5b2d-4645-b2ae-1ce62c302d34"}, {"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": "0b564ee9-7fd6-43f0-862c-62ba7be24654", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "biota"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Phosphate fertilizers"}, {"id": "Slow release fertilizers"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "soil"}, {"id": "phosphatic fertiliser"}, {"id": "phosphate"}, {"id": "laboratory experiment"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}], "license": "CC BY", "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 - INNOSOILPHOS's research activities.\n\nAlthough every care has been taken in preparing and testing the data, BonaRes Module A - Project - INNOSOILPHOS 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-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": "2019-11-14", "type": "Dataset", "created": "2019-04-16", "language": "eng", "title": "P release / P mobilization from bone char in a pot experiment", "description": "Acceptability of bone char fertilizers depends on their P release and how the released P can be utilized by plants. Using small scale pot experiments we investigated whether and to which amount P was released from bone char particles, and further, if this release is affected by bacteria. Therefore, defined amounts of bone char particles (BC, produced by pyrolysis of degreased animal bone chips at 800 \u00baC and BCplus, a BC enriched with reduced sulfur compounds) and bacteria cells (suspension with 10 6 cells per ml) were added to small pots with maize seed and incubated until maize reaches BBCH 15. P release, bacterial P mobilization and the effect on plant growth were investigated by measuring soil total elements concentration, plant nutrition elements, potential enzyme activity and leaching of elements.", "formats": [{"name": "CSV"}], "keywords": ["Phosphate fertilizers", "Slow release fertilizers", "soil", "phosphatic fertiliser", "phosphate", "laboratory experiment", "Boden", "opendata"], "contacts": [{"name": "Dana Zimmer", "organization": "University of Rostock", "position": "researcher", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dana.zimmer@oi-warnemuende.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Peter Leinweber", "organization": "University of Rostock", "position": "Head of Soil Science", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "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}]}, {"name": "Manuela Peine", "organization": "University of Rostock", "position": "researcher", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "manuela.peine@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Mohsen Morshedizad", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mohsen.morshedizad3@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Christel Baum", "organization": "University of Rostock", "position": "researcher", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "christel.baum@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "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=0b564ee9-7fd6-43f0-862c-62ba7be24654", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "0b564ee9-7fd6-43f0-862c-62ba7be24654", "name": "item", "description": "0b564ee9-7fd6-43f0-862c-62ba7be24654", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0b564ee9-7fd6-43f0-862c-62ba7be24654"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-14T00:00:00Z"}}, {"id": "0b644920-ff5e-4aac-a124-8b478bda606c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[2.75, 49.45], [2.75, 50.85], [6.5, 50.85], [6.5, 49.45], [2.75, 49.45]]]}, "properties": {"themes": [{"concepts": [{"id": "biota"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Nature et environnement"}, {"id": "Sol et sous-sol"}], "scheme": "https://metawal.wallonie.be/thesaurus/theme-geoportail-wallon"}, {"concepts": [{"id": "biologie"}, {"id": "dynamique naturelle"}, {"id": "sol"}], "scheme": "http://geonetwork-opensource.org/gemet-theme"}, {"concepts": [{"id": "structure du sol"}, {"id": "cycle du carbone"}, {"id": "for\u00eat"}, {"id": "organisme du sol"}, {"id": "mati\u00e8re organique"}, {"id": "sol"}, {"id": "chimie des sols"}, {"id": "biologie du sol"}, {"id": "d\u00e9terioration du sol"}, {"id": "d\u00e9gradation du sol"}, {"id": "prairie"}, {"id": "carbone organique"}, {"id": "carbone organique total"}, {"id": "carbone"}, {"id": "fertilit\u00e9 du sol"}], "scheme": "http://geonetwork-opensource.org/gemet"}, {"concepts": [{"id": "Reporting INSPIRE"}, {"id": "Extraction_DIG"}, {"id": "WalOnMap"}, {"id": "BDInfraSIG"}, {"id": "Open Data"}, {"id": "PanierTelechargementGeoportailNO"}], "scheme": "https://metawal.wallonie.be/thesaurus/infrasig"}, {"concepts": [{"id": "Sols"}], "scheme": "http://inspire.ec.europa.eu/theme"}, {"concepts": [{"id": "R\u00e9gional"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "Observation de la terre et environnement"}], "scheme": "http://data.europa.eu/bna/asd487ae75"}, {"concepts": [{"id": "2023/138"}], "scheme": "http://data.europa.eu/r5r/applicableLegislation"}], "license": "No limitations to public access", "rights": "Conditions d'acc\u00e8s et d'utilisation sp\u00e9cifiques", "updated": "2023-06-20T12:48:33.221Z", "type": "Dataset", "created": "2016-12-30", "language": "fre", "title": "CARBIOSOL - Uncertainties of Total Organic Carbon Contents - period 2004-2014", "description": "Cette couche de donn\u00e9es reprend les incertitudes des teneurs en COT dans les sols sous cultures et prairies permanentes du territoire wallon entre la p\u00e9riode 2004-2014.\n\nCette couche de donn\u00e9es reprend les incertitudes (ici coefficient de variation - CV) de mod\u00e9lisation pour les teneurs en COT pr\u00e9dites dans les sols sous cultures et prairies du territoire wallon pour la p\u00e9riode 2004-2014. Il s'agit donc d'une mod\u00e9lisation de l'erreur de pr\u00e9diction.\n\nDans le cadre du projet CARBIOSOL (UCL - ULg - DGARNE), une couche de donn\u00e9es raster de 90 m\u00e8tres de r\u00e9solution des teneurs en carbone organique total des sols sous cultures et prairies a \u00e9t\u00e9 g\u00e9n\u00e9r\u00e9e par mod\u00e9lisation spatiale. Ce mod\u00e8le a \u00e9t\u00e9 d\u00e9velopp\u00e9 pour chaque type d'occupation du sol d'int\u00e9r\u00eat (cultures et prairies permanentes). \n\nPour chaque occupation du sol, un Mod\u00e8le Additif G\u00e9n\u00e9ralis\u00e9 (GAM pour Generalised Additive Model) a \u00e9t\u00e9 ajust\u00e9 sur un jeu de calibration contenant deux tiers des points d'observation concern\u00e9s. Il a ensuite \u00e9t\u00e9 valid\u00e9 sur le tiers restant.\n\nPour plus de d\u00e9tails sur la mod\u00e9lisation mise en place dans la cadre de CARBIOSOL, veuillez-vous r\u00e9f\u00e9rer \u00e0 la fiche de m\u00e9tadonn\u00e9es documentant la s\u00e9rie de couches de donn\u00e9es.\n\nLa cartographie des incertitudes de mod\u00e9lisation associ\u00e9es aux teneurs en COT pr\u00e9dites pour la p\u00e9riode 2004-2014 est une couche raster spatialement continue sur les sols sous cultures et prairies et d'une r\u00e9solution de 90 m\u00e8tres. L'incertitude en chaque pixel est exprim\u00e9e en pourcentage relatif de carbone.\n\nLa mod\u00e9lisation de l'erreur de pr\u00e9diction est une erreur potentielle qui permet une meilleure interpr\u00e9tation des produits cartographiques finaux g\u00e9n\u00e9r\u00e9s par le projet CARBIOSOL. La cartographie des teneurs en Carbone organique total pour la p\u00e9riode 2004-2014 doit donc \u00eatre lue en association avec la carte des incertitudes. Une incertitude importante refl\u00e8te une pr\u00e9diction moins fiable et donc une plus grande pr\u00e9caution dans l'interpr\u00e9tation des valeurs.", "formats": [{"name": "TIFF (.tif"}, {"name": " .tiff)"}, {"name": "WWW:LINK"}, {"name": "ESRI:REST"}, {"name": "OGC:WMS"}, {"name": "atom:feed"}], "keywords": ["Nature et environnement", "Sol et sous-sol", "biologie", "dynamique naturelle", "sol", "structure du sol", "cycle du carbone", "for\u00eat", "organisme du sol", "mati\u00e8re organique", "sol", "chimie des sols", "biologie du sol", "d\u00e9terioration du sol", "d\u00e9gradation du sol", "prairie", "carbone organique", "carbone organique total", "carbone", "fertilit\u00e9 du sol", "Reporting INSPIRE", "Extraction_DIG", "WalOnMap", "BDInfraSIG", "Open Data", "PanierTelechargementGeoportailNO", "Digital Soil Mapping", "carbiosol", "carbosol", "teneur en carbone", "Aardewerk", "horizon de surface", "sol", "COSW", "DTM", "mod\u00e9lisation", "COT", "CO2", "horizon de sol", "Sols", "R\u00e9gional", "Observation de la terre et environnement", "2023/138"], "contacts": [{"name": null, "organization": "Helpdesk carto du SPW (SPW - Secr\u00e9tariat g\u00e9n\u00e9ral - SPW Digital - D\u00e9partement Donn\u00e9es transversales - Gestion et valorisation de la donn\u00e9e)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "helpdesk.carto@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Direction de la Protection des Sols (SPW - Agriculture, Ressources naturelles et Environnement - D\u00e9partement du Sol et des D\u00e9chets - Direction de la Protection des Sols)", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "esther.goidts@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Service public de Wallonie (SPW)", "position": null, "roles": ["owner"], "phones": [{"value": null}], "emails": [{"value": "helpdesk.carto@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://geoportail.wallonie.be", "protocol": "WWW:LINK", "protocol_url": "", "name": "G\u00e9oportail de la Wallonie", "name_url": "", "description": "G\u00e9oportail de la Wallonie", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": "information"}}]}, {"name": "Caroline Chartin", "organization": "Universit\u00e9 catholique de Louvain - 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Die Beschlussfassung der Bodenrichtwerte erfolgte auf stichtagsbezogenen Basiskarten nebst Verwaltungsgrenzen (eine \u00dcbersicht \u00fcber die Zuordnung der Basiskarten ist unter https://geobasis-bb.de/lgb/de/geodaten/grundstuecksmarkt/bodenrichtwerte/~mais2redc78693de zu finden).", "formats": [{"name": "HTML"}], "keywords": ["bauland", "bb", "bebauung", "bebauungsplan", "bebauungsvorschriften", "bepflanzung", "berlin", "besteuerung", "bewertung", "boden", "bodeneigenschaft", "bodenrichtwert", "bodenrichtwertkarte", "bodenwert", "brandenburg", "de", "dnm", "durchschnittswert", "erschlie\u00dfungsgrad", "flurstu\u0308ckegrundstu\u0308cke", "gdi", "grundstu\u0308ck", "grundstu\u0308cksbewertung", "grundstu\u0308cksform", "grundstu\u0308cksgro\u0308\u00dfe", "grundstu\u0308ckswert", "gutachterausschuss", "historisch", "infomapaccessservice", "lagewert", "landwirtschaft", "opendata", "richtwert", "verfahren", "webatlasde-bebb", "wertermittlung", "wms"], "contacts": [{"organization": "Landesvermessung und Geobasisinformation Brandenburg (LGB)", "roles": ["creator"]}]}, "links": [{"href": "https://geobroker.geobasis-bb.de/gbss.php?MODE=GetProductPreview&PRODUCTID=0ce05f0b-ea0d-4ee8-a35b-d2430f43ed28"}, {"href": "https://isk.geobasis-bb.de/ows/boris_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/0ce05f0b-ea0d-4ee8-a35b-d2430f43ed28~~1"}, {"rel": "self", "type": "application/geo+json", "title": "0ce05f0b-ea0d-4ee8-a35b-d2430f43ed28", "name": "item", "description": "0ce05f0b-ea0d-4ee8-a35b-d2430f43ed28", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0ce05f0b-ea0d-4ee8-a35b-d2430f43ed28"}, {"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": "0d0933bd-fdac-495e-9980-621cbfe4cedf", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:55:39", "type": "Dataset", "language": "de", "title": "INSPIRE-WFS Soil / Boden\u00fcbersichtskarte BB", "description": "Der interoperable INSPIRE-WFS ist ein Downloaddienst, der Daten im Annex-Schema Boden (abgeleitet aus dem origin\u00e4ren Datensatz: Boden\u00fcbersichtskarte Brandenburg) bereitstellt. Er gibt eine \u00dcberblick \u00fcber das erste nutzungsunabh\u00e4ngige bodengeologische Kartenwerk, das fl\u00e4chendeckend f\u00fcr Brandenburg vorliegt (B\u00dcK300). Die Karte liefert einen \u00dcberblick \u00fcber wesentliche B\u00f6den und ist mit ihren Auswertungen Grundlage f\u00fcr konkrete Aufgaben wie z. B. die Landes-, Bodenschutz- oder Raumplanung auf Landesebene. Die Legende ist nach Substratmerkmalen gegliedert und besteht aus 99 Einheiten, in denen die Leitbodenformengesellschaften dargestellt werden. Die sie kennzeichnenden Fl\u00e4chenbodenformen wurden mit chemischen und physikalischen Parametern belegt, die in einem Fl\u00e4chenbodenformenarchiv abgelegt sind. So wird es m\u00f6glich, mit verschiedenen Auswertemethoden auf die Daten der digitalen Karte zuzugreifen [AG-Boden (2005): Bodenkundliche Kartieranleitung. - 5. Auflage, Hannover]. Weiter Informationen liegen vor unter http://www.geo.brandenburg.de/ows/htdocs/Bodenuebersichtskarte.html und http://www.geo.brandenburg.de/lbgr/boden_gru. Zus\u00e4tzlich werden ausgew\u00e4hlte Profilaufnahmepunkte detailliert dargestellt. Gem\u00e4\u00df der INSPIRE-Datenspezifikation Soil (D2.8.III.3_v3.0) liegen die Inhalte der Bodenkarte INSPIRE-konform vor. Der WFS beinhaltet die folgenden FeatureTypes: - Abgeleitetes Bodenprofil (so:DerivedSoilProfile): Ein nicht punktbezogenes Bodenprofil, das als Referenzprofil f\u00fcr eine bestimmte Art von Boden in einem bestimmten geografischen Gebiet dient. - Beobachtetes Bodenprofil (so:ObservedSoilProfile): Darstellung eines an einem bestimmten Ort vorgefundenen Bodenprofils, dessen Beschreibung auf Beobachtungen in einer Sch\u00fcrfgrube oder mithilfe eines Bohrlochs basiert. - Bodenk\u00f6rper (so:SoilBody): Abgegrenzter und hinsichtlich bestimmter Bodeneigenschaften und/oder r\u00e4umlicher Muster homogener Teil der Bodendecke. - Bodenplot (so:SoilPlot): Stelle, an der eine spezifische Bodenuntersuchung durchgef\u00fchrt wird. - Bodenstandort (so:SoilSite): Bereich innerhalb eines gr\u00f6\u00dferen kartierten, untersuchten oder durch Monitoring \u00fcberwachten Gebiets, in dem eine spezifische Bodenuntersuchung durchgef\u00fchrt wird. --- The compliant INSPIRE-WFS Soil / Boden\u00fcbersichtskarte Brandenburg is a download service that delivers data in the annex schema Soil (derived from the original data set: Soil overview map Brandenburg). It provides an overview of the first use-independent soil geological map that is available for Brandenburg (B\u00dcK300). The map provides an overview of essential soils and, with its evaluations, is the basis for specific tasks such as soil protection or spatial planning at state level. The legend is structured according to substrate characteristics and consists of 99 units in which the main soil groups (Leitbodenformengesellschaften) are shown. All soils (Fl\u00e4chenbodenformen) were characterised with chemical and physical parameters. This makes it possible to access the data of the digital map with different evaluation methods. Further information are provided at http://www.geo.brandenburg.de/ows/htdocs/Bodenuebersichtskarte.html and http://www.geo.brandenburg.de/lbgr/boden_gru. In addition, selected soil profiles are presented in detail. The content of the soil map is compliant to the INSPIRE data specification for the annex theme Geology (D2.8.III.3_v3.0). The WFS includes the following feature types: - Derived soil profile (so:DerivedSoilProfile): A non-point-located soil profile that serves as a reference profile for a specific soil type in a certain geographical area. - Observed soil profile (so:ObservedSoilProfile): A representation of a soil profile found on a specific location which is described on the basis of observations in a trial pit or with a borehole. - Soil body (so:SoilBody): Part of the soil cover that is delineated and that is homogeneous with regard to certain soil properties and/or spatial patterns. - Soil plot (so:SoilPlot): A spot where a specific soil investigation is carried out. - Soil site (so:SoilSite): An area within a larger survey, study or monitored area, where a specific soil investigation is carried out.", "formats": [{"name": "HTML"}], "keywords": ["bboxbebb", "boden", "bodengeologie", "bodengeologische-karte", "bodengeologische-u\u0308bersichtskarte", "bodenkarte", "bodenkunde", "bodenschutz", "brandenburg", "de", "derivedsoilprofile", "geologie", "infofeatureaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "observedsoilprofile", "opendata", "othersoilnametypevalue", "soil", "soilbody", "soilinvestigationpurposevalue", "soilplot", "soilsite", "wfs", "wrbreferencesoilgroupvalue"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D0d0933bd-fdac-495e-9980-621cbfe4cedf"}, {"href": "https://inspire.brandenburg.de/services/so_buek300_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://isk.geobasis-bb.de/geodienste/Sonstiges/Hilfe_Nutzung_Downloaddienst.pdf"}, {"href": "http://data.europa.eu/88u/dataset/0d0933bd-fdac-495e-9980-621cbfe4cedf~~1"}, {"rel": "self", "type": "application/geo+json", "title": "0d0933bd-fdac-495e-9980-621cbfe4cedf", "name": "item", "description": "0d0933bd-fdac-495e-9980-621cbfe4cedf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0d0933bd-fdac-495e-9980-621cbfe4cedf"}, {"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": "0ded8335-2f1c-4985-8cc3-b3c03f5e7e72", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-03T08:41:38Z", "type": "Dataset", "language": "de", "title": "WMS Konzeptbodenkarten BB (WMS-KBK)", "description": "Der Darstellungsdienst (WMS) Konzeptbodenkarten Brandenburg stellt Daten der Konzeptbodenkarten zu den Bereichen Fl\u00e4chentyp Bodenartengruppe und Fl\u00e4chentyp Genese bereit. Die Konzeptbodenkarten sind aktuell das hochaufl\u00f6sendste, blattschnittfreie bodenkundliche Kartenwerk des LBGR im Rasterformat mit einer Aufl\u00f6sung von 10 x 10 m. Datengrundlagen der Karten sind Fl\u00e4chendaten der Bodensch\u00e4tzung, Geologie und verschiedene bodenkundliche Punkt- und Fl\u00e4chendaten. Der Dienst umfasst die folgenden Layer: 1. Fl\u00e4chentyp Bodenartengruppe, 2. Fl\u00e4chentyp Genese. Die Auswertungen liefern die fachliche Basis sowohl f\u00fcr die Planung und Umsetzung bodenkundlicher Kartierungen, als auch f\u00fcr die Synthese und Ableitung der Bodenfunktions- und -gef\u00e4hrdungsbewertungen. Die G\u00fcte der zugrundeliegenden Konzeptkarten hat somit einen hohen Einfluss auf die Qualit\u00e4t der abgeleiteten Produkte. Im Land Brandenburg werden die Konzeptbodenkarten mit einem regelbasierten Ansatz weitgehend automatisiert softwaretechnisch abgeleitet. Das Verfahren implementiert die bislang analog durchgef\u00fchrten Arbeitsschritte und bildet als \u201eExpertensystem\u201c das Verst\u00e4ndnis \u00fcber die Genese und die Verbreitung der B\u00f6den in Brandenburg weitgehend ab. Ein robustes Verfahren zum Abgleich laufender Erhebungen mit den \u201ePrognosen\u201c der Konzeptkarten und darauf fu\u00dfend deren systematische \u00dcberpr\u00fcfung und Bewertung wird derzeit erarbeitet. Zuk\u00fcnftig sollen in diesem Verfahren erkannte Defizite systematisch in einem modifizierten Ableitungsregelwerk ber\u00fccksichtigt und die Konzeptbodenkarten fortlaufend aktualisiert werden. Eine ausf\u00fchrliche Legende sowie Erl\u00e4uterungen sind zu finden unter: https://isk.geobasis-bb.de/geodienste/lbgr/KBK_Erlaeuterungen.pdf. Der WMS beinhaltet die folgenden Layer: - Fl\u00e4chentyp Bodenartengruppe [bft], - Fl\u00e4chentyp Genese [gft], - Fl\u00e4chentyp Pedogenese [pft].", "formats": [{"name": "HTML"}], "keywords": ["boden", "bodenart", "bodendaten", "bodenform", "bodengeologie", "bodengesellschaft", "bodenkarte", "bodenkunde", "bodenscha\u0308tzung", "bodensystematische-einheit", "bodentyp", "brandenburg", "de", "fla\u0308chenbodenform", "genese", "geologie", "inspireidentifiziert", "konzeptbodenkarte", "konzeptkarte", "opendata", "organisch", "pedogenese", "substratsystematische-einheit", "terrestrisch", "wms"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D0ded8335-2f1c-4985-8cc3-b3c03f5e7e72"}, {"href": "https://inspire.brandenburg.de/services/kbk_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/0ded8335-2f1c-4985-8cc3-b3c03f5e7e72"}, {"rel": "self", "type": "application/geo+json", "title": "0ded8335-2f1c-4985-8cc3-b3c03f5e7e72", "name": "item", "description": "0ded8335-2f1c-4985-8cc3-b3c03f5e7e72", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0ded8335-2f1c-4985-8cc3-b3c03f5e7e72"}, {"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": "0d41604c-c746-456d-ac96-2e183e7691b5", "type": "Feature", "geometry": null, "properties": {"updated": "2024-08-12T00:00:00", "type": "Dataset", "language": "de", "title": "Gebietsmonografie B\u00f6den im Sauer- und Siegerland", "description": "Die \u201eB\u00f6den im Sauer- und Siegerland\u201c fassen die Ergebnisse aus mehr als 50 Jahren Bodenkartierung des Geologischen Dienstes NRW zusammen. Nach einer Einf\u00fchrung in Naturraum und Klima sowie die Erd- und Landschaftsgeschichte werden Entstehung, Verbreitung, Eigenschaften und Nutzung der B\u00f6den und ihrer Substrate eingehend beschrieben. Dies erfolgt in unterschiedlichen Ma\u00dfstabsebenen und Karten von Bodenregionen \u00fcber Bodenlandschaften bis hin zu Leitbodengesellschaften mit ihren wichtigsten Bodenformen und Beispielprofilen. Erg\u00e4nzt werden diese durch Kennwerte zu Humusgehalten, Korngr\u00f6\u00dfen, pH-Werten, Basens\u00e4ttigungen u.v.m., f\u00fcr die die Analysenergebnisse von Tausenden von Bodenprofilen ausgewertet wurden. Hinweise zur Nutzung und Gef\u00e4hrdung der B\u00f6den sowie vorhandener Kartenwerke runden die Monografie ab.", "formats": [{"name": "PDF"}], "keywords": ["basensa\u0308ttigung", "boden", "bodenart", "bodeneigenschaften", "bodenentwicklung", "bodenerosion", "bodenform", "bodenfunktionen", "bodenkarte", "bodenkennwerte", "bodenkunde", "bodenlandschaft", "bodenschutz", "bodentyp", "cn-verha\u0308ltnis", "de", "ertragsfa\u0308higkeit", "faktoren-der-bodenbildung", "humusform", "humusgehalt", "korngro\u0308\u00dfen", "landschaftsgeschichte", "leitbodengesellschaft", "naturraum", "nutzungsgeschichte", "opendata", "ph-wert", "sauerland", "siegerland", "substrat", "versauerung", "waldboden"], "contacts": [{"organization": "Geologischer Dienst NRW", "roles": ["creator"]}]}, "links": [{"href": "https://www.gd.nrw.de/zip/pr_bs_boeden-siegerland-sauerland.pdf"}, {"href": "http://data.europa.eu/88u/dataset/0d41604c-c746-456d-ac96-2e183e7691b5"}, {"rel": "self", "type": "application/geo+json", "title": "0d41604c-c746-456d-ac96-2e183e7691b5", "name": "item", "description": "0d41604c-c746-456d-ac96-2e183e7691b5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0d41604c-c746-456d-ac96-2e183e7691b5"}, {"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": "0da2c3c2-236a-abc0-5183-4f0ca7535c95", "type": "Feature", "geometry": null, "properties": {"updated": "2024-02-15T00:00:00Z", "type": "Service", "title": "Inspire-WFS HE Floor ALKIS \u2014 om:OM_Observation \u2014 OGC WFS Interface", "description": "This service provides data implemented from ALKIS for the INSPIRE topic.:om:OM_Observation", "formats": [{"name": "INSPIRE DOWNLOAD SERVICE"}], "keywords": ["boden", "de", "infofeatureaccessservice", "inspireidentifiziert", "opendata"], "contacts": [{"organization": "Christian Maier", "roles": ["creator"]}]}, "links": [{"href": "https://www.geoportal.hessen.de/mapbender/php/wfs.php?INSPIRE=1&FEATURETYPE_ID=5034&REQUEST=GetCapabilities&SERVICE=WFS&VERSION=2.0.0"}, {"href": "http://data.europa.eu/88u/dataset/0da2c3c2-236a-abc0-5183-4f0ca7535c95"}, {"rel": "self", "type": "application/geo+json", "title": "0da2c3c2-236a-abc0-5183-4f0ca7535c95", "name": "item", "description": "0da2c3c2-236a-abc0-5183-4f0ca7535c95", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0da2c3c2-236a-abc0-5183-4f0ca7535c95"}, {"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": "0dd547c4-fc28-4c15-9261-43d125e66fdf", "type": "Feature", "geometry": null, "properties": {"license": 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"application/geo+json", "title": "0dd547c4-fc28-4c15-9261-43d125e66fdf", "name": "item", "description": "0dd547c4-fc28-4c15-9261-43d125e66fdf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0dd547c4-fc28-4c15-9261-43d125e66fdf"}, {"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": "0e018dea-ab53-461f-b454-2eaaca8c765c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[6.67, 47.98], [6.67, 51.27], [10.81, 51.27], [10.81, 47.98], [6.67, 47.98]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "winter wheat"}, {"id": "spring barley"}, {"id": "organic fertilizers"}, {"id": "ammonium"}, {"id": "nitrates"}, {"id": "protein quality"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata; Wheat"}, {"id": "barley"}, {"id": "organic agriculture"}, {"id": "Rhizosphere soil"}, {"id": "bulk soil"}, {"id": "microbial biomass"}, {"id": "microrespiration"}, {"id": "meta-barcode sequencing of bacterial community"}, {"id": "quantification of bacterial inoculant"}, {"id": "gluten"}, {"id": "HMW"}, {"id": "hordein"}, {"id": "ProteinZ"}, {"id": "bread quality"}, {"id": "grain storage protein"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "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 Rhizo4Bio - bread and beer's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - bread and beer and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - bread and beer 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 Rhizo4Bio - bread and beer and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-08-22", "type": "Dataset", "created": "2024-07-18", "language": "eng", "title": "Production of wheat and barley under reduced input in organic farming - Soil parameters for season I and II", "description": "During the last decades, organic farming has undergone a notable expansion as a common agricultural practice throughout the world. This, together with an increasing demand for fertilizer and pesticide reduction has led to consider different and new approaches. We investigate the effect of Hartmannibacter diazotrophicus strain E19, a plant growth promoting rhizobacterium, in order to enhance the production of wheat and barley under low energy input. For that, we analyze the effect of three factors: organic fertilizer (with and without, only wheat), row distance (15 cm and 50 cm), and bacterial inoculation (E19 and control) at two different organic experimental field stations (Gladbacherhof and Kleinhohenheim). The dataset provides information about different parameter determined from rhizosphere soil and root samples collected at two different developmental stages (flowering and milk/fully ripe), as well as, the grain yield, straw yield, 1000 kernel mass, and seed quality during the seasons 2020-2021 and 2021-2022. The following soil parameter were evaluated: ammonium, nitrate, carbon-nitrogen ratio, microbial biomass, the respiration activity using different carbon sources (glucose, galactose, N-acetylglucosamine, arginine). These data sets are currently under evaluation and complemented with the quantification from root samples through quantitative PCR (qPCR) of strain E19 and the metabarcoding sequencing of the bacterial communities based on 16S rRNA genes obtained from rhizosphere soil samples during the two seasons. Soil parameter data\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "winter wheat", "spring barley", "organic fertilizers", "ammonium", "nitrates", "protein quality", "opendata; Wheat", "barley", "organic agriculture", "Rhizosphere soil", "bulk soil", "microbial biomass", "microrespiration", "meta-barcode sequencing of bacterial community", "quantification of bacterial inoculant", "gluten", "HMW", "hordein", "ProteinZ", "bread quality", "grain storage protein", "Boden"], "contacts": [{"name": "Santiago Quiroga", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Santiago.Quiroga@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0001-1392-8241", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sylvia Schnell", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "sylvia.schnell@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3903-6089", "name_url": "", "description": "orcid", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (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": null}]}, {"name": "Stefan Ratering", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Stefan.Ratering@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7572-6306", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Azin Rekowski", "organization": "University of Hohenheim", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "azin.ghabelrahmat@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0179-663X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Christian Z\u00f6rb", "organization": "University of Hohenheim", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Christian.zoerb@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0000-5138", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sylvia Schnell", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sylvia.schnell@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3903-6089", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "University of Hohenheim;Justus-Liebig University Giessen", "roles": ["contributor"]}], "title_alternate": "LTE: Part 1/5, table: Soil parameters for season I and II"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0e018dea-ab53-461f-b454-2eaaca8c7gmd:65c", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0e018dea-ab53-461f-b454-2eaaca8c765c", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "0e018dea-ab53-461f-b454-2eaaca8c765c", "name": "item", "description": "0e018dea-ab53-461f-b454-2eaaca8c765c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0e018dea-ab53-461f-b454-2eaaca8c765c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-22T00:00:00Z"}}, {"id": "0ef9fe98-0edf-88b5-c1c2-97f5023b77b9", "type": "Feature", "geometry": null, "properties": {"updated": "2025-03-10", "type": "Dataset", "title": "Inspire-WFS SL Floor Location Map Forest \u2014 Floor Body \u2014 OGC WFS Interface", "description": "This service provides data of the forest location map for the INSPIRE topic soil from the spatial data: Delineated and with regard to certain soil properties and/or spatial patterns of homogeneous part of the floor ceiling.", "formats": [{"name": "INSPIRE DOWNLOAD SERVICE"}], "keywords": ["boden", "bodenko\u0308rper", "de", "forstwirtschaft", "geofachdaten", "infofeatureaccessservice", "inspireidentifiziert", "opendata", "saarland", "sl", "soil", "soil-body", "wfs"], "contacts": [{"organization": "GIS Administration", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.saarland.de/mapbender/php/wfs.php?INSPIRE=1&FEATURETYPE_ID=1850&REQUEST=GetCapabilities&SERVICE=WFS&VERSION=2.0.0"}, {"href": "http://data.europa.eu/88u/dataset/0ef9fe98-0edf-88b5-c1c2-97f5023b77b9"}, {"rel": "self", "type": "application/geo+json", "title": "0ef9fe98-0edf-88b5-c1c2-97f5023b77b9", "name": "item", "description": "0ef9fe98-0edf-88b5-c1c2-97f5023b77b9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0ef9fe98-0edf-88b5-c1c2-97f5023b77b9"}, {"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": "0f71e68f-8c83-4371-8842-1a26abed1854", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.5, 47.25], [5.5, 55.2], [15.5, 55.2], [15.5, 47.25], [5.5, 47.25]]]}, "properties": {"updated": "2021-03-26", "type": "Service", "language": "ger", "title": "Land overview map of the Federal Republic of Germany 1:200.000 (WMS)", "description": "Web Map Service (WMS) of the B\u00dcK200 map sheets. The soil overview map 1:200,000 (B\u00dcK200) is compiled by the Federal Institute for Geosciences and Natural Resources (BGR) in cooperation with the State Geological Services (SGD) of the L\u00e4nder in the sheet section of the topographical overview map 1:200,000 (T\u00dcK200) and published in 55 individual map sheets. The digital, non-cutting data storage forms a detailed, nationwide uniform and comprehensive information basis for cross-border statements on land use and soil protection. The distribution and socialization of soils is currently described on a leaf-specific basis using leaf-laying units (divided by soil regions and large soil landscapes). Each legend unit contains soil systematic information (soil subtype) and information on the soil source rock for both the guide soils and their companions.", "formats": [{"name": "png"}, {"name": "OGC:WMS"}], "keywords": ["Boden", "Soil", "Bodenart", "Bodenauslaugung", "Bodenbearbeitung", "Bodenbelastung", "Bodenbildung", "Bodenbiologie", "Bodenchemie", "Bodendegradation", "Bodendekontamination", "Bodenerosion", "Bodenfeuchtigkeit", "Bodenfruchtbarkeit", "Bodenfunktion", "Bodengestaltung", "Bodeng\u00fcte", "Bodenkarte", "Bodenluft", "Bodenmechanik", "Bodenmineralogie", "Bodennutzbarkeit", "Bodennutzung", "ackerbauliches Ertragspotential", "Bodeneigenschaften", "Bodengef\u00fcge", "Bodengruppe", "Bodenhorizont", "bodenphysikalische Eigenschaften", "Bodenskelett", "Bodenverbreitung", "Durchl\u00e4ssigkeit", "effektive Durchwurzelungstiefe", "Bodenausgangsgestein", "Bodenform", "Bodengesellschaft", "Bodeninformationssystem", "Bodenprofil", "Bodensubstrat", "Bodensystematik", "Bodentyp", "Fachinformationssystem", "infoMapAccessService", "inspireidentifiziert", "opendata", "Deutschland", "National"], "contacts": [{"name": "Stegger, Ulrich", "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "fis.bo@bgr.de"}], "addresses": [{"deliveryPoint": ["Stilleweg 2"], "city": "Hannover", "administrativeArea": null, "postalCode": "30655", "country": "DE"}], "links": [{"href": null}]}], "themes": [{"concepts": [{"id": "Boden"}, {"id": "Soil"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Bodenart"}, {"id": "Bodenauslaugung"}, {"id": "Bodenbearbeitung"}, {"id": "Bodenbelastung"}, {"id": "Bodenbildung"}, {"id": "Bodenbiologie"}, {"id": "Bodenchemie"}, {"id": "Bodendegradation"}, {"id": "Bodendekontamination"}, {"id": "Bodenerosion"}, {"id": "Bodenfeuchtigkeit"}, {"id": "Bodenfruchtbarkeit"}, {"id": "Bodenfunktion"}, {"id": "Bodengestaltung"}, {"id": "Bodeng\u00fcte"}, {"id": "Bodenkarte"}, {"id": "Bodenluft"}, {"id": "Bodenmechanik"}, {"id": "Bodenmineralogie"}, {"id": "Bodennutzbarkeit"}, {"id": "Bodennutzung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "ackerbauliches Ertragspotential"}, {"id": "Bodeneigenschaften"}, {"id": "Bodengef\u00fcge"}, {"id": "Bodengruppe"}, {"id": "Bodenhorizont"}, {"id": "bodenphysikalische Eigenschaften"}, {"id": "Bodenskelett"}, {"id": "Bodenverbreitung"}, {"id": "Durchl\u00e4ssigkeit"}, {"id": "effektive Durchwurzelungstiefe"}], "scheme": "SGD-Liste"}, {"concepts": [{"id": "National"}], "scheme": "Spatial scope"}], "title_alternate": "B\u00dcK200 (WMS)"}, "links": [{"href": "https://services.bgr.de/wms/boden/buek200/?REQUEST=GetCapabilities&SERVICE=wms&VERSION=1.3.0", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/boden/buek200", "description": "Karte im BGR-Geoviewer", "rel": "information"}, {"href": "https://services.bgr.de/wms/boden/buek200/?"}, {"href": "https://services.bgr.de/wms/boden/buek200/?"}, {"href": "https://download.bgr.de/bgr/boden/BUEK200/WMS/Beispielbild/buek200.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "0f71e68f-8c83-4371-8842-1a26abed1854", "name": "item", "description": "0f71e68f-8c83-4371-8842-1a26abed1854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0f71e68f-8c83-4371-8842-1a26abed1854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-26T00:00:00Z"}}, {"id": "0ffd1fdb-53c7-47c3-abf1-66e250a252e6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.99, 54.32], [9.99, 54.32], [9.99, 54.32], [9.99, 54.32], [9.99, 54.32]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "wheat"}, {"id": "crop rotation"}, {"id": "crop yield"}, {"id": "Gaeumannomyces"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - RhizoWheat's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - RhizoWheat and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - RhizoWheat 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 Rhizo4Bio - RhizoWheat and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-12-11", "type": "Dataset", "created": "2023-11-30", "language": "eng", "title": "Crop rotation experiment \u201cV145\u201d at Kiel University\u00b4s experiment station - Soil moisture data", "description": "The project RhizoWheat aims at elucidating processes leading to yield decline of wheat grown in self-succession. The crop rotation experiment \u201cV145\u201d was established in autumn 2015 at Kiel University\u00b4s experiment station \u201cHohenschulen\u201d, Achterwehr, Schleswig-Holstein. The experiment consists of four crop rotations. Within the project RhizoWheat we work with a beginning wheat monoculture (oilseed rape \u2013 wheat \u2013 wheat - wheat - wheat). Each element of the crop rotation is grown in each year in four replications and with five nitrogen fertilization levels (0, 80, 160, 240, 320 kg N/ha). Here we present soil moisture data of three seasons of the experiment (2020/21 to 2022/23) for the first and the third wheat in the rotation at nitrogen level 0 and 240 kg/ha.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "wheat", "crop rotation", "crop yield", "Gaeumannomyces", "opendata", "Boden"], "contacts": [{"name": "Nora Honsdorf", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "honsdorf@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4536-2526", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Henning Kage", "organization": "Kiel University", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "kage@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5317-7745", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (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": null}]}, {"name": "Katharina Pronkow", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "pronkow@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Henning Kage", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "kage@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Kiel University", "roles": ["contributor"]}], "title_alternate": "LTE: Part 3/3, table: Soil moisture data"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=2606626e-3a0a-440d-8dc0-b0ea66623gmd:9eb", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2606626e-3a0a-440d-8dc0-b0ea666239eb", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "0ffd1fdb-53c7-47c3-abf1-66e250a252e6", "name": "item", "description": "0ffd1fdb-53c7-47c3-abf1-66e250a252e6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0ffd1fdb-53c7-47c3-abf1-66e250a252e6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-11T00:00:00Z"}}, {"id": "10.1002/ecs2.2645", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-28T16:14:31Z", "type": "Journal Article", "created": "2019-03-19", "title": "Uneven global distribution of food web studies under climate change", "description": "AbstractTrophic interactions within food webs affect species distributions, coexistence, and provision of ecosystem services but can be strongly impacted by climatic changes. Understanding these impacts is therefore essential for managing ecosystems and sustaining human well\uffe2\uff80\uff90being. Here, we conducted a global synthesis of terrestrial, marine, and freshwater studies to identify key gaps in our knowledge of climate change impacts on food webs and determine whether the areas currently studied are those most likely to be impacted by climate change. We found research suffers from a strong geographic bias, with only 3.5% of studies occurring in the tropics. Importantly, the distribution of sites sampled under projected climate changes was biased\uffe2\uff80\uff94areas with decreases or large increases in precipitation and areas with low magnitudes of temperature change were under\uffe2\uff80\uff90represented. Our results suggest that understanding of climate change impacts on food webs could be broadened by considering more than two trophic levels, responses in addition to species abundance and biomass, impacts of a wider suite of climatic variables, and tropical ecosystems. Most importantly, to enable better forecasts of biodiversity responses to climate change, we identify critically under\uffe2\uff80\uff90represented geographic regions and climatic conditions which should be prioritized in future research.We propose two methods to calibrate the parameters of the epidemic\uffe2\uff80\uff90type aftershock sequence (ETAS) model based on expectation maximization (EM) while accounting for temporal variation of catalog completeness. The first method allows for model calibration on long\uffe2\uff80\uff90term earthquake catalogs with temporal variation of the completeness magnitude,mc. This calibration technique is beneficial for long\uffe2\uff80\uff90term probabilistic seismic hazard assessment (PSHA), which is often based on a mixture of instrumental and historical catalogs. The second method generalizes the concept ofmc, considering rate\uffe2\uff80\uff90 and magnitude\uffe2\uff80\uff90dependent detection probability, and allows for self\uffe2\uff80\uff90consistent estimation of ETAS parameters and high\uffe2\uff80\uff90frequency detection incompleteness. With this approach, we aim to address the potential biases in parameter calibration due to short\uffe2\uff80\uff90term aftershock incompleteness, embracing incompleteness instead of avoiding it. Using synthetic tests, we show that both methods can accurately invert the parameters of simulated catalogs. We then use them to estimate ETAS parameters for California using the earthquake catalog since 1932. To explore how model calibration, inclusion of small events, and accounting for short\uffe2\uff80\uff90term incompleteness affect earthquakes' predictability, we systematically compare variants of ETAS models based on the second approach in pseudo\uffe2\uff80\uff90prospective forecasting experiments for California. Our proposed model significantly outperforms the ETAS null model, with decreasing information gain for increasing target magnitude threshold. We find that the ability to include small earthquakes for simulation of future scenarios is the primary driver of the improvement and that accounting for incompleteness is necessary. Our results have significant implications for our understanding of earthquake interaction mechanisms and the future of seismicity forecasting.
", "keywords": ["Physics - Geophysics", "13. Climate action", "0103 physical sciences", "earthquake forecasting", "ETAS", "FOS: Physical sciences", "short-term aftershock incompleteness", "data incompleteness", "01 natural sciences", "model inversion", "data incompleteness; model inversion; ETAS; earthquake forecasting", "Geophysics (physics.geo-ph)", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/essoar.10507003.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Solid%20Earth", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/essoar.10507003.1", "name": "item", "description": "10.1002/essoar.10507003.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/essoar.10507003.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-11T00:00:00Z"}}, {"id": "10.21203/rs.3.rs-561383/v1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-28T16:19:50Z", "type": "Journal Article", "created": "2021-05-27", "title": "A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 \u2013 2019) based on LUCAS, CORINE and GLAD Landsat", "description": "AbstractA seamless spatiotemporal machine learning framework for automated prediction, uncertainty assessment, and analysis of land use / land cover (LULC) dynamics is presented. The framework includes: (1) harmonization and preprocessing of high-resolution spatial and spatiotemporal covariate datasets (GLAD Landsat, NPP/VIIRS) including 5 million harmonized LUCAS and CORINE Land Cover-derived training samples, (2) model building based on spatial k-fold cross-validation and hyper-parameter optimization, (3) prediction of the most probable class, class probabilities and uncertainty per pixel, (4) LULC change analysis on time-series of produced maps. The spatiotemporal ensemble model was fitted by combining random forest, gradient boosted trees, and artificial neural network, with logistic regressor as meta-learner. The results show that the most important covariates for mapping LULC in Europe are: seasonal aggregates of Landsat green and near-infrared bands, multiple Landsat-derived spectral indices, and elevation. Spatial cross-validation of the model indicates consistent performance across multiple years with 62%, 70%, and 87% accuracy when predicting 33 (level-3), 14 (level-2), and 5 classes (level-1); with artificial surface classes such as 'airports' and 'railroads' showing the lowest match with validation points. The spatiotemporal model outperforms spatial models on known-year classification by 2.7% and unknown-year classification by 3.5%. Results of the accuracy assessment using 48,365 independent test samples shows 87% match with the validation points. Results of time-series analysis (time-series of LULC probabilities and NDVI images) suggest gradual deforestation trends in large parts of Sweden, the Alps, and Scotland. An advantage of using spatiotemporal ML is that the fitted model can be used to predict LULC in years that were not included in its training dataset, allowing generalization to past and future periods, e.g. to predict land cover for years prior to 2000 and beyond 2020. The generated land cover time-series data stack (ODSE-LULC), including the training points, is publicly available via the Open Data Science (ODS)-Europe Viewer.Quantifying the effects of grazing on soil organic carbon (SOC) decomposition is of crucial importance for understanding soil C dynamics. However, less attention has been paid to the pool\uffe2\uff80\uff90specific SOC decomposition and the underlying factors associated with each C pool, representing critical knowledge gaps on soil C dynamics. In this study, we applied a state\uffe2\uff80\uff90of\uffe2\uff80\uff90the\uffe2\uff80\uff90art Bayesian data assimilation technique to re\uffe2\uff80\uff90analyze previous soil incubation data to examine how herbivores influenced the fraction and cumulative respiration of labile and recalcitrant soil C pools from seven edaphically diverse sites in Yellowstone National Park, whereas those variables were not explored in the earlier study. Our results showed that grazing significantly increased cumulative respiration from both labile and recalcitrant C pools. Greater cumulative respiration from the labile C pool was related to grazers increasing labile C pool fractions, while higher cumulative respiration from the recalcitrant C pool was associated with grazers accelerating the decomposition rate of the recalcitrant C pool. Cumulative respiration from both labile and recalcitrant C pools was positively correlated with shoot biomass, soil gravimetric moisture, and soil C and nitrogen content. Our results underscore how knowledge of pool\uffe2\uff80\uff90specific SOC decomposition can provide a better mechanistic understanding of soil C dynamics along topo\uffe2\uff80\uff90edaphic gradients in grazed grassland.The Sustainability Nexus Analytics, Informatics, and Data (AID) Programme of the United Nations University (UNU), aims to provide information, data, computational, and analytical tools to support the sustainable management and long-term security of natural resources using a nexus approach. This paper introduces the Soil Health Module of the Sustainability Nexus AID Programme. Healthy soil is crucial for life on Earth, and it is essential for ecosystem services and functioning, access to clean water, socioeconomic structure, biodiversity, and food security for the growing population of the world. Healthy soils contribute to mitigating the effects of climate change and reduce the consequences of extreme events such as flooding and drought. Healthy soils influence the hydrologic cycle by regulating transpiration, water infiltration, and soil water evaporation affecting land\uffe2\uff80\uff93atmosphere interactions. The Soil Health Module of the UNU Sustainability Nexus AID Programme aims to evolve into the ultimate focal point, supporting a diverse array of stakeholders with state-of-the-art data and tools that are essential for soil health monitoring and projection. This paper discusses the importance of adopting a nexus approach for ensuring soil health, explores the AID tools currently at our disposal for quantifying and predicting soil health, and concludes with recommendations for future effort and direction within the Sustainability Nexus AID Programme concerning soil health.Genomic prediction with special weight of major genes is a valuable tool to populate bio-digital resource centers.
AbstractPhenotypic information of crop genetic resources is a prerequisite for an informed selection that aims to broaden the genetic base of the elite breeding pools. We investigated the potential of genomic prediction based on historical screening data of plant responses against the Barley yellow mosaic viruses for populating the bio-digital resource center of barley. Our study includes dense marker data for 3838 accessions of winter barley, and historical screening data of 1751 accessions for Barley yellow mosaic virus (BaYMV) and of 1771 accessions for Barley mild mosaic virus (BaMMV). Linear mixed models were fitted by considering combinations for the effects of genotypes, years, and locations. The best linear unbiased estimations displayed a broad spectrum of plant responses against BaYMV and BaMMV. Prediction abilities, computed as correlations between predictions and observed phenotypes of accessions, were low for the marker-assisted selection approach amounting to 0.42. In contrast, prediction abilities of genomic best linear unbiased predictions were high, with values of 0.62 for BaYMV and 0.64 for BaMMV. Prediction abilities of genomic prediction were improved by up to\uffe2\uff80\uff89~\uffe2\uff80\uff895% using W-BLUP, in which more weight is given to markers with significant major effects found by association mapping. Our results outline the utility of historical screening data and W-BLUP model to predict the performance of the non-phenotyped individuals in genebank collections. The presented strategy can be considered as part of the different approaches used in genebank genomics to valorize genetic resources for their usage in disease resistance breeding and research.
", "keywords": ["Genetic Markers", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Genotype", "Chromosome Mapping", "Genetic Variation", "Hordeum", "Genomics", "Potyviridae", "Linkage Disequilibrium", "Plant Breeding", "03 medical and health sciences", "Phenotype", "Databases", " Genetic", "Original Article", "Genetic Association Studies", "Disease Resistance", "Plant Diseases"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s00122-021-03815-0.pdf"}, {"href": "https://doi.org/10.1007/s00122-021-03815-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Theoretical%20and%20Applied%20Genetics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00122-021-03815-0", "name": "item", "description": "10.1007/s00122-021-03815-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00122-021-03815-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-25T00:00:00Z"}}, {"id": "10.1007/s00248-013-0235-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-28T16:14:51Z", "type": "Journal Article", "created": "2013-05-01", "title": "Changes In Diversity, Abundance, And Structure Of Soil Bacterial Communities In Brazilian Savanna Under Different Land Use Systems", "description": "The Brazilian Savanna, also known as 'Cerrado', is the richest and most diverse savanna in the world and has been ranked as one of the main hotspots of biodiversity. The Cerrado is a representative biome in Central Brazil and the second largest biome in species diversity of South America. Nevertheless, large areas of native vegetation have been converted to agricultural land including grain production, livestock, and forestry. In this view, understanding how land use affects microbial communities is fundamental for the sustainable management of agricultural ecosystems. The aim of this work was to analyze and compare the soil bacterial communities from the Brazilian Cerrado associated with different land use systems using high throughput pyrosequencing of 16S rRNA genes. Relevant differences were observed in the abundance and structure of bacterial communities in soils under different land use systems. On the other hand, the diversity of bacterial communities was not relevantly changed among the sites studied. Land use systems had also an important impact on specific bacterial groups in soil, which might change the soil function and the ecological processes. Acidobacteria, Proteobacteria, and Actinobacteria were the most abundant groups in the Brazilian Cerrado. These findings suggest that more important than analyzing the general diversity is to analyze the composition of the communities. Since soil type was the same among the sites, we might assume that land use was the main factor defining the abundance and structure of bacterial communities.", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "03 medical and health sciences", "Bacteria", "Molecular Sequence Data", "Agriculture", "Biodiversity", "15. Life on land", "Brazil", "Ecosystem", "Phylogeny", "Soil Microbiology"]}, "links": [{"href": "https://doi.org/10.1007/s00248-013-0235-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microbial%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00248-013-0235-y", "name": "item", "description": "10.1007/s00248-013-0235-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00248-013-0235-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-04-27T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data&offset=50&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data&offset=50&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data&offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data&offset=100", "hreflang": "en-US"}], "numberMatched": 3721, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-07-28T18:08:10.632304Z"}