This study dynamically monitors ecosystem performance (EP) to identify grasslands potentially suitable for cellulosic feedstock crops (e.g., switchgrass) within the Greater Platte River Basin (GPRB). We computed grassland site potential and EP anomalies using 9\uffe2\uff80\uff90year (2000\uffe2\uff80\uff932008) time series of 250\uffc2\uffa0m expedited moderate resolution imaging spectroradiometer Normalized Difference Vegetation Index data, geophysical and biophysical data, weather and climate data, and EP models. We hypothesize that areas with fairly consistent high grassland productivity (i.e., high grassland site potential) in fair to good range condition (i.e., persistent ecosystem overperformance or normal performance, indicating a lack of severe ecological disturbance) are potentially suitable for cellulosic feedstock crop development. Unproductive (i.e., low grassland site potential) or degraded grasslands (i.e., persistent ecosystem underperformance with poor range condition) are not appropriate for cellulosic feedstock development. Grassland pixels with high or moderate ecosystem site potential and with more than 7\uffc2\uffa0years ecosystem normal performance or overperformance during 2000\uffe2\uff80\uff932008 are identified as possible regions for future cellulosic feedstock crop development (ca. 68\uffc2\uffa0000\uffc2\uffa0km2 within the GPRB, mostly in the eastern areas). Long\uffe2\uff80\uff90term climate conditions, elevation, soil organic carbon, and yearly seasonal precipitation and temperature are important performance variables to determine the suitable areas in this study. The final map delineating the suitable areas within the GPRB provides a new monitoring and modeling approach that can contribute to decision support tools to help land managers and decision makers make optimal land use decisions regarding cellulosic feedstock crop development and sustainability.
", "keywords": ["2. Zero hunger", "satellite remote sensing", "550", "land management", "04 agricultural and veterinary sciences", "15. Life on land", "ecosystem performance models", "cellulosic feedstock crops", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Greater Platte River Basin", "cellulosic biofuel", "weather data", "eMODIS NDVI"]}, "links": [{"href": "https://doi.org/10.1111/j.1757-1707.2011.01113.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1757-1707.2011.01113.x", "name": "item", "description": "10.1111/j.1757-1707.2011.01113.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1757-1707.2011.01113.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-07-21T00:00:00Z"}}, {"id": "10.3390/rs13163101", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:08Z", "type": "Journal Article", "created": "2021-08-06", "title": "Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in Morocco.", "description": "Accurate seasonal forecasting of cereal yields is an important decision support tool for countries, such as Morocco, that are not self-sufficient in order to predict, as early as possible, importation needs. This study aims to develop an early forecasting model of cereal yields (soft wheat, barley and durum wheat) at the scale of the agricultural province considering the 15 most productive over 2000\uffe2\uff80\uff932017 (i.e., 15 \uffc3\uff97 18 = 270 yields values). To this objective, we built on previous works that showed a tight linkage between cereal yields and various datasets including weather data (rainfall and air temperature), regional climate indices (North Atlantic Oscillation in particular), and drought indices derived from satellite observations in different wavelengths. The combination of the latter three data sets is assessed to predict cereal yields using linear (Multiple Linear Regression, MLR) and non-linear (Support Vector Machine, SVM; Random Forest, RF, and eXtreme Gradient Boost, XGBoost) machine learning algorithms. The calibration of the algorithmic parameters of the different approaches are carried out using a 5-fold cross validation technique and a leave-one-out method is implemented for model validation. The statistical metrics of the models are first analyzed as a function of the input datasets that are used, and as a function of the lead times, from 4 months to 2 months before harvest. The results show that combining data from multiple sources outperformed models based on one dataset only. In addition, the satellite drought indices are a major source of information for cereal prediction when the forecasting is carried out close to harvest (2 months before), while weather data and, to a lesser extent, climate indices, are key variables for earlier predictions. The best models can accurately predict yield in January (4 months before harvest) with an R2 = 0.88 and RMSE around 0.22 t. ha\uffe2\uff88\uff921. The XGBoost method exhibited the best metrics. Finally, training a specific model separately for each group of provinces, instead of one global model, improved the prediction performance by reducing the RMSE by 10% to 35% depending on the provinces. In conclusion, the results of this study pointed out that combining remote sensing drought indices with climate and weather variables using a machine learning technique is a promising approach for cereal yield forecasting.
", "keywords": ["[SDE] Environmental Sciences", "330", "Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "[INFO] Computer Science [cs]", "crop yield forecasting", "01 natural sciences", "630", "indices", "[INFO]Computer Science [cs]", "Climate indices", "remote sensing drought indices", "weather data", "0105 earth and related environmental sciences", "2. Zero hunger", "Remote sensing drought indices", "climate indices", "remote sensing drought", "Q", "Crop yield forecasting", "04 agricultural and veterinary sciences", "semiarid region", "15. Life on land", "6. Clean water", "machine learning", "13. Climate action", "[SDE]Environmental Sciences", "crop yield forecasting; machine learning; remote sensing drought indices; climate indices; weather data; semiarid region", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "Semiarid region"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/16/3101/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/16/3101/pdf"}, {"href": "https://doi.org/10.3390/rs13163101"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13163101", "name": "item", "description": "10.3390/rs13163101", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13163101"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-06T00:00:00Z"}}, {"id": "7ed2ae5d-75f0-4769-b45e-599c62ded0e7", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.23, 52.25], [13.23, 52.26], [13.24, 52.26], [13.24, 52.25], [13.23, 52.25]]]}, "properties": {"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 Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-07-19", "type": "Dataset", "created": "2024-06-27", "language": "eng", "title": "PatchCROP Geodata - Point geometries of weather stations", "description": "This dataset contains the point geometries of the patchCrop weather stations and forms a data collection together with the patch geometries and the point geometries of the soil sensors. General description see mother table: (https://doi.org/10.4228/zalf-ztwg-fh58); Related datasets are listed in the metadata element 'Related Identifier'. Dataset version 1.3", "formats": [{"name": "CSV"}], "keywords": ["Soil", "crop yield", "experimental design", "abiotic factors", "biotic factors", "small-scale farming", "weather data", "opendata", "Boden", "Germany", "Brandenburg", "M\u00e4rkisch-Oderland", "Focus Area M\u00fcncheberg", "Site patchCrop"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sigrid Ehlert", "organization": "Leibniz Center for Agricultural Landscape Research (ZALF e.V.)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sehlert@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Kathrin Grahmann", "organization": "Leibniz Center for Agricultural Landscape Research (ZALF e.V.)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Kathrin.Grahmann@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9589-7441", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Kathrin Grahmann", "organization": "Leibniz Center for Agricultural Landscape Research (ZALF e.V.)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Kathrin.Grahmann@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9589-7441", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Center for Agricultural Landscape Research (ZALF e.V.)", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 3/6, dataset: Point geometries of weather stations"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=ee9b392e-a723-41a1-a64f-88d404ecc849", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/25ed4406-2079-410a-8f80-ff568c60ad03", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "ee9b392e-a723-41a1-a64f-88d404ecc849", "name": "item", "description": "ee9b392e-a723-41a1-a64f-88d404ecc849", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ee9b392e-a723-41a1-a64f-88d404ecc849"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-19T00:00:00Z"}}, {"id": "69aaa0ab-03df-4ef9-919a-ac47468df5aa", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.23, 52.25], [13.23, 52.26], [13.24, 52.26], [13.24, 52.25], [13.23, 52.25]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "long-term experiments"}, {"id": "weather data"}, {"id": "agronomy"}, {"id": "ploughing"}, {"id": "nutrient deficiencies"}, {"id": "fertilization"}, {"id": "irrigation"}, {"id": "plant protection"}, {"id": "arable land"}, {"id": "soil fertility"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Europe"}, {"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Teltow-Fl\u00e4ming"}, {"id": "Site Research Station Thyrow"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other 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 Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2026-02-18", "type": "Dataset", "created": "2026-01-30", "language": "eng", "title": "Teaching and Research Station in Thyrow, Germany - Subfields", "description": "This geodata set contains the subfields of the research station.\n\nGeneral description see mother table: (https://doi.org/10.20387/bonares-vcth-3a25); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["long-term experiments", "weather data", "agronomy", "ploughing", "nutrient deficiencies", "fertilization", "irrigation", "plant protection", "arable land", "soil fertility", "opendata", "Boden", "Europe", "Germany", "Brandenburg", "Teltow-Fl\u00e4ming", "Site Research Station Thyrow"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Forschungsring e.V. 's research activities.\" Although every care has been taken in preparing and testing the data, the Forschungsring e.V. and the BonaRes Data Centre cannot guarantee that the data are correct; neither does theForschungsring e.V. 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 Forschungsring e.V. and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2022-06-08", "type": "Dataset", "created": "2019-08-13", "language": "eng", "title": "Long-term fertilization field experiment Darmstadt (Feld E) from 1996 to 2009 - Meteorological data (Data collection)", "description": "Child table of \u201cLong-term fertilization field experiment Darmstadt (Feld E) from 1996 to 2009\u201d. Table with measured meteorological data. General description can be found in the parent table - Plot information. More information about database schema, assorted literature overview, the detailed location plan, etc.can be found in the supplemental material.\n\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Boden", "Langzeitversuch", "Landwirtschaft", "Versuchsanlage", "agriculture", "Field experimentation", "Agricultural research", "Research methods", "Field size", "Field shape", "plot design", "Geodesy", "weather data", "humidity", "Temperature", "precipitation", "atmospheric data", "meteorological observations", "Dauerfeldversuch", "Dauerversuch", "Langzeitfeldversuch", "Langzeitversuch", "Dauerd\u00fcngungversuch", "Langzeitd\u00fcngungsversuch", "DFV", "DDV", "DV", "Long-Term Field Experiment", "Long-Term Experiment", "Long-Term Trial", "Long-Term Field Trial", "Long-Term Fertilizer Experiment", "Long-Term Soil Experiment", "LTFE", "LTE", "LTSE", "opendata", "Boden"], "contacts": [{"name": "Dr. Christopher Brock", "organization": "Forschungsring e.V.", "position": null, "roles": ["projectLeader"], "phones": [{"value": "+49 (0) 6155 8421 12"}], "emails": [{"value": "brock@forschungsring.de"}], "addresses": [{"deliveryPoint": ["Brandschneise 5"], "city": "Darmstadt", "administrativeArea": "Hessen", "postalCode": "64295", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "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": "Meike Oltmanns", "organization": "Forschungsring e.V.", "position": null, "roles": ["author"], "phones": [{"value": "+49 (0) 6155 8421 13"}], "emails": [{"value": "oltmanns@forschungsring.de"}], "addresses": [{"deliveryPoint": ["Brandschneise 5"], "city": "Darmstadt", "administrativeArea": "Hessen", "postalCode": "64295", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Forschungsring e.V.", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=204c0315-4af0-4c6f-8cb3-e0a21649ad10", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/54d3aeca-8fe7-4166-932f-736c1c906d1d", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "204c0315-4af0-4c6f-8cb3-e0a21649ad10", "name": "item", "description": "204c0315-4af0-4c6f-8cb3-e0a21649ad10", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/204c0315-4af0-4c6f-8cb3-e0a21649ad10"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1996-01-01T00:00:00Z", "2009-12-31T00:00:00Z"]}}, {"id": "0b88bd89-2f3d-4005-ac15-2c8c0c6ef614", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[6.95, 50.8], [6.95, 50.81], [6.96, 50.81], [6.96, 50.8], [6.95, 50.8]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "weather data"}, {"id": "meteorological observations"}, {"id": "climatic data"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmospheric conditions"}, {"id": "meteorological parameter"}, {"id": "agrometeorology"}], "scheme": "GEMET - Concepts, version 2.4"}], "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: \u201cData re-used from the BonaRes Data Centre (www.bonares.de). The Dauerd\u00fcngungsversuch Dikopshof (DDV) data were created by the Crop Science Research Group, INRES, University of Bonn, and partly by the BonaRes Soil3 research activities.\u201d It is furthermore required to include a citation of the dataset, naming the authors, name of the dataset and the DOI.\nAlthough every care has been taken in preparing and testing the data, the Crop Science Research Group at University of Bonn, the BonaRes Module BonaRes Soil3, and BonaRes Data Centre cannot guarantee that the data are correct; neither does Crop Science Research Group at University of Bonn, BonaRes BonaRes Soil3 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 Crop Science Research Group at University of Bonn, BonaRes Module BonaRes Soil3 and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.\nPlease cite the whole data collection of \"Long-Term Fertilization Trial Dikopshof\" (16 tables) as followed:\nSeidel et al. (2019) \u201dLong-Term Fertilization Trial Dikopshof\u201c BonaRes Data Centre. Doi: 10.20387/10.20387/BonaRes-Y8A0-2Z3F.\nPlease cite a single table (e.g. \u201cYield Data\u201d):\nSeidel et al. (2019) \u201dLong-Term Fertilization Trial Dikopshof\u201c BonaRes Data Centre. Doi: 10.20387/10.20387/BonaRes-Y8A0-2Z3F, table: \u201cYield Data\u201d.", "updated": "2019-05-10", "type": "Dataset", "created": "2015-09-15", "language": "eng", "title": "Long-Term Fertilization Trial Dikopshof Meteorological Data 1901-2016", "description": "This table contains daily meteorological data for the long-term fertilisation experiment Dikopshof for the period 1901-2017. Variables comprise precipitation sum, minimum temperature (2m), mean temperature (2m), maximum temperature (2m), solar radiation, wind speed, calculated reference evapotranspiration and calculated relative humidity.\nThe data is calculated from monthly 1x1 km grid data and weather station data of the nearest stations. The exact workflow is described in the appendix of the following publication:\nGang Zhao, Stefan Siebert, Andreas Enders, Ehsan Eyshi Rezaei, Changqing Yan, Frank Ewert (2015): Demand for multi-scale weather data for regional crop modeling, Agricultural and Forest Meteorology, Volume 200, Pages 156-171, ISSN 0168-1923, https://doi.org/10.1016/j.agrformet.2014.09.026.\nThe data collection \"Long-Term Fertilization Trial Dikopshof\" consists of 16 tables, which are related to each other. A proper citation notice can be found in the \u201cAccess\u201d section.", "formats": [{"name": "CSV"}], "keywords": ["weather data", "meteorological observations", "climatic data", "Atmospheric conditions", "meteorological parameter", "agrometeorology"], "contacts": [{"name": "Sabine Seidel", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "sabine.seidel@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hella Ahrends", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "hahrends@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Andreas Tewes", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "atewes@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas Gaiser", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "tgaiser@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hubert H\u00fcging", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "h.hueging@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Stefan Siebert", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "s.siebert@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Frank Ewert", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "frank.ewert@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas Gaiser", "organization": "University of Bonn", "position": null, "roles": ["projectLeader"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "tgaiser@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Bonn", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=Table%20%27Meteorological%20Data%201901-2016%27%20of%20dataset%20https://doi.org/10.20387/bonares-Y8A0-2Z3F", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "0b88bd89-2f3d-4005-ac15-2c8c0c6ef614", "name": "item", "description": "0b88bd89-2f3d-4005-ac15-2c8c0c6ef614", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0b88bd89-2f3d-4005-ac15-2c8c0c6ef614"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1901-01-01T00:00:00Z", "2017-12-31T00:00:00Z"]}}, {"id": "ea6f253f-2087-499c-9fd3-c03478a7762b", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[6.95, 50.8], [6.95, 50.81], [6.96, 50.81], [6.96, 50.8], [6.95, 50.8]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "weather data"}, {"id": "meteorological stations"}, {"id": "Weather"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmospheric conditions"}, {"id": "meteorological parameter"}, {"id": "weather"}, {"id": "agrometeorology"}], "scheme": "GEMET - Concepts, version 2.4"}], "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: \u201cData re-used from the BonaRes Data Centre (www.bonares.de). The Dauerd\u00fcngungsversuch Dikopshof (DDV) data were created by the Crop Science Research Group, INRES, University of Bonn, and partly by the BonaRes Soil3 research activities.\u201d It is furthermore required to include a citation of the dataset, naming the authors, name of the dataset and the DOI.\nAlthough every care has been taken in preparing and testing the data, the Crop Science Research Group at University of Bonn, the BonaRes Module BonaRes Soil3, and BonaRes Data Centre cannot guarantee that the data are correct; neither does Crop Science Research Group at University of Bonn, BonaRes BonaRes Soil3 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 Crop Science Research Group at University of Bonn, BonaRes Module BonaRes Soil3 and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.\nPlease cite the whole data collection of \"Long-Term Fertilization Trial Dikopshof\" (16 tables) as followed:\nSeidel et al. (2019) \u201dLong-Term Fertilization Trial Dikopshof\u201c BonaRes Data Centre. Doi: 10.20387/10.20387/BonaRes-Y8A0-2Z3F.\nPlease cite a single table (e.g. \u201cYield Data\u201d):\nSeidel et al. (2019) \u201dLong-Term Fertilization Trial Dikopshof\u201c BonaRes Data Centre. Doi: 10.20387/10.20387/BonaRes-Y8A0-2Z3F, table: \u201cYield Data\u201d.", "updated": "2019-05-10", "type": "Dataset", "created": "2018-04-03", "language": "eng", "title": "Long-Term Fertilization Trial Dikopshof Meteorological Data 1996-2016", "description": "This dataset contains the meteorological data as measured by the weather station adjacent to the trial during the period 1996 to 2016. Variables measured were air pressure, wind direction, wind speed, relative humidity, precipitation, solar radiation, mean air temperature (200 cm, 5 cm), max air temperature (200 cm, 5 cm), min air temperature (200 cm, 5 cm aboveground), mean soil temperature (5 cm, 20 cm, 50 cm soil depth), PAR. All values are daily values, and represent the calculated mean (Precipitation: sum) of all available measurements every 15 minutes between 12 a.m. and 11:59 p.m. The Count_NA columns indicate the amount of missing values within that period. The user is requested to decide whether to include this daily value in the time series or not.\nThe data collection \"Long-Term Fertilization Trial Dikopshof\" consists of 16 tables, which are related to each other. A proper citation notice can be found in the \u201cAccess\u201d section.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "weather data", "meteorological stations", "Weather", "Atmospheric conditions", "meteorological parameter", "weather", "agrometeorology"], "contacts": [{"name": "Sabine Seidel", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "sabine.seidel@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hella Ahrends", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "hahrends@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Andreas Tewes", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "atewes@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas Gaiser", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "tgaiser@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hubert H\u00fcging", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "h.hueging@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Stefan Siebert", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "s.siebert@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Frank Ewert", "organization": "University of Bonn", "position": null, "roles": ["author"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "frank.ewert@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas Gaiser", "organization": "University of Bonn", "position": null, "roles": ["projectLeader"], "phones": [{"value": "+49-(0)228-73-2871"}], "emails": [{"value": "tgaiser@uni-bonn.de"}], "addresses": [{"deliveryPoint": ["Katzenburgweg 5"], "city": "Bonn", "administrativeArea": null, "postalCode": "53115", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Bonn", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=Table%20%27Meteorological%20Data%201996-2016%27%20of%20dataset%20https://doi.org/10.20387/bonares-Y8A0-2Z3F", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "ea6f253f-2087-499c-9fd3-c03478a7762b", "name": "item", "description": "ea6f253f-2087-499c-9fd3-c03478a7762b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ea6f253f-2087-499c-9fd3-c03478a7762b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1996-01-01T00:00:00Z", "2016-12-31T00:00:00Z"]}}, {"id": "db2d636c-e51c-4db8-bff4-447dec69f908", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - SUSALPS's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - SUSALPS and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - SUSALPS and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - 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": "2025-01-28", "type": "Service", "created": "2020-09-22", "language": "eng", "title": "WMS Service of the dataset 'Meteorological Data Fendt Site'", "description": "This WMS Service includes spatial information used by datasets 'WMS Service of the dataset 'Meteorological Data Fendt Site''", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "weather data", "atmospheric data", "meteorological observations", "meteorological stations", "site", "precipitation", "meteorological factors", "rain", "air temperature", "temperature", "radiation", "wind data", "wind direction", "wind speed", "winds", "humidity", "absolute humidity", "relative humidity", "solar radiation", "Germany", "Bavaria", "Weilheim-Schongau", "Pei\u00dfenberg", "Fendt"], "contacts": [{"name": "Krischan Petersen", "organization": "KIT IMK-IFU", "position": "Research Associate", "roles": ["author"], "phones": [{"value": "+49 8821 183 160"}], "emails": [{"value": "krischan.petersen@kit.edu"}], "addresses": [{"deliveryPoint": ["Kreuzeckbahnstra\u00dfe 19"], "city": "Garmisch-Partenkirchen", "administrativeArea": "Bavaria", "postalCode": "82467", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ralf Kiese", "organization": "KIT IMK-IFU", "position": "Group leader", "roles": ["projectLeader"], "phones": [{"value": "+49 8821 183 153"}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": ["Kreuzeckbahnstra\u00dfe 19"], "city": "Garmisch-Partenkirchen", "administrativeArea": "Bavaria", "postalCode": "82467", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Europe"}, {"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Teltow-Fl\u00e4ming"}, {"id": "Site Research Station Thyrow"}], "scheme": "individual"}], "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 Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other 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 Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2026-02-18", "type": "Dataset", "created": "2026-01-30", "language": "eng", "title": "Teaching and Research Station in Thyrow, Germany", "description": "The teaching and research station for agronomy in Thyrow is a service facility of the Albrecht Daniel Thaer-Institute for Agricultural and Horticultural Sciences of the Humboldt University of Berlin. The experimental site was founded in 1936 by Prof. Kurt Opitz is located about 30 kilometres south of Berlin. This site represents typical farming conditions of the young moraine landscapes of the Weichselian glaciation of Northeast Germany. According to the German classification of soil-climate spaces, the experimental site is located in the area of \u201cdry-warm diluvial soils of East German lowlands\u201d (diluvial: soils developed in glacial sediments). Within this area, soil values of the \u201cGerman soil taxation framework\u201d of less than 30 out of a maximum 100 are common.\nThyrow is located at approximately 42 m above sea level on the southern edge of the Teltow, a Weichselian ground moraine plateau. The slope is predominantly flat at 2 %. The dominant soil type for this is location is a Retisol developed in a sand over a deep loam. As typical for ground moraines the boundaries between the sandy and loamy layer vary intensely between 60 cm to 200 cm. This causes small-scale differences in water and nutrient resources especially of the subsoil. The plant available water capacity of the soil in the effective root zone (60 \u2013 80 cm deep) fluctuates between 50 to 150 mm. These soils are at high risk of nutrient leaching, acidification and surface siltation because of the low clay and humus content of the topsoil.\nDue to the soil\u2019s low water-holding capacity, the crop yields at the Thyrow Field Station show great fluctuations dependent on weather conditions. The climatic water balance during the growing period is negative and the overall low water availability at this location limits the crop yields. Mean annual temperature for the period 1991-2020 was measured to be 9.7\u00b0C, with annual precipitation 533 mm. Annual crop yields are particularly negatively affected by low precipitation from April to June.\nThe two areas that are managed by the research station are separated by the Thyrower Dorfstra\u00dfe (Landesstra\u00dfe 795). The main experimental area, where the long-term experiments are conducted, is located on the farm (Hof) side, along with two other trials for the implementation of field experiments. Northwest of the Landesstra\u00dfe there is another experimental area (Schlag 3), where other experiments are conducted to answer questions about differing agricultural systems, soil management, cultivar suitability, and fertilization.\n\nSoil classes according to German Soil Taxation: \tS4D, Sl5D, Sl4D\nSoil textural class: \tsilty sand\nMean annual temperature: 9.7\u00b0C (1991-2020) / 9.2 \u00b0C (1981-2010) / 8.9\u00b0 C (1971-2000)\nMean annual precipitation: 533 mm (1991-2020) / 510 mm (1981-2010) / 495 mm (1971-2000)\nThe geodata of the entire premises (Thyrower Hof and Schlag 3) were created with the help of aerial imagery and thus do not necessarily reflect official property borders.\n\nThis geodata file contains the overall grounds of the research Station Thyrow.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["long-term experiments", "weather data", "agronomy", "ploughing", 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