The main goal of this investigation was to evaluate the potential of the WOFOST model for estimating leaf area index (LAI), actual evapotranspiration (ETa), soil moisture content (SM), above-ground biomass levels (TAGP) and grain yield (TWSO) of winter wheat in the semi-arid region of Tensift Al Haouz, Marrakech (central Morocco). An application for the estimation of the Yield Gap is also provided. The model was firstly calibrated based on three fields data during the 2002\uffe2\uff80\uff932003 and 2003\uffe2\uff80\uff932004 growing seasons, by using the WOFOST implementation in the Python Crop simulation Environment (PCSE) to optimize the different parameters that provide the minimum difference between the measured and simulated LAI, TAGP, TWSO, SM and ETa. Then, the model validation was performed based on the data from five other wheat fields. The results obtained showed a good performance of the WOFOST model for the estimation of LAI during both growing seasons on all validation fields. The average R2, RSME and NRMSE were 91.4%, 0.57 m2/m2, and 41.4%, respectively. The simulated ETa dynamics also showed a good agreement with the observations by eddy covariance systems. Values of 60% and 72% for R2, 0.8 mm and 0.7 mm for RMSE, 54% and 31% for NRMSE are found for the two validation fields, respectively. The model\uffe2\uff80\uff99s ability to predict soil moisture content was also found to be satisfactory; the two validation fields gave R2 values equal to 48% and 49%, RMSE values equal to 0.03 cm3/cm3 and 0.05 cm3/cm3, NRMSE values equal to 11% and 19%. The calibrated model had a medium performance with respect to the simulation of TWSO (R2 = 42%, RSME = 512 kg/ha, NRMSE = 19%) and TAGP (R2 = 34% and RSME = 936 kg/ha, NRMSE = 16%). After accurate calibration and validation of the WOFOST model, it was used for analyzing the gap yield since this model is able to estimate the potential yield. The WOFOST model allowed a good simulation of the potential yield (7.75 t/ha) which is close to the optimum value of 6.270 t/ha in the region. Yield gap analysis reveals a difference of 5.35 t/ha on average between the observed yields and the potential yields calculated by WOFOST. Such difference is ascribable to many factors such as the crop cycle management, agricultural practices such as water and fertilization supply levels, etc. The various simulations (irrigation scenarios) showed that early sowing is more adequate than late sowing in saving water and obtaining adequate grain yield. Based on various simulations, it has been shown that the early sowing (mid to late December) is more adequate than late sowing with a total amount of water supply of about 430 mm and 322 kg (140 kg of N, 80 kg of P and 102 kg of K) of fertilization to achieve the potential yield. Consequently, the WOFOST model can be considered as a suitable tool for quantitative monitoring of winter wheat growth in the arid and semi-arid regions.
", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "estimation", "550", "leaf area index", "S", "gap yield", "evapotranspiration", "Agriculture", "04 agricultural and veterinary sciences", "crop yield", "total biomass", "15. Life on land", "WOFOST", "630", "Tensift Morocco", "winter wheat", "crop modelling; WOFOST; Tensift Morocco; evapotranspiration; crop yield estimation; soil moisture; leaf area index; total biomass; winter wheat; gap yield", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "soil moisture", "crop modelling", "crop yield estimation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2480/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/12/2480/pdf"}, {"href": "https://doi.org/10.3390/agronomy11122480"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11122480", "name": "item", "description": "10.3390/agronomy11122480", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11122480"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-07T00:00:00Z"}}, {"id": "10.5281/zenodo.6760976", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:23:29Z", "type": "Dataset", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "This repository contains the setup and data related to the peer-reviewed article 'Net irrigation requirement under different climate scenarios using AquaCrop over Europe' accepted for HESS (https://hess.copernicus.org/preprints/hess-2021-631/). The README.txt file contains all information about the repository. Please contact Louise Busschaert (louise.busschaert@kuleuven.be) or Gabrielle De Lannoy (gabrielle.delannoy@kuleuven.be) for any further questions.", "keywords": ["irrigation requirement", "climate change", "regional AquaCrop", "crop modelling"], "contacts": [{"organization": "Busschaert, Louise, de Roos, Shannon, Thiery, Wim, Raes, Dirk, De Lannoy, Gabrielle J. M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6760976"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6760976", "name": "item", "description": "10.5281/zenodo.6760976", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6760976"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-27T00:00:00Z"}}, {"id": "10.5281/zenodo.6760977", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:23:29Z", "type": "Dataset", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "This repository contains the setup and data related to the peer-reviewed article 'Net irrigation requirement under different climate scenarios using AquaCrop over Europe' accepted for HESS (https://hess.copernicus.org/preprints/hess-2021-631/). The README.txt file contains all information about the repository. Please contact Louise Busschaert (louise.busschaert@kuleuven.be) or Gabrielle De Lannoy (gabrielle.delannoy@kuleuven.be) for any further questions.", "keywords": ["irrigation requirement", "climate change", "regional AquaCrop", "crop modelling"], "contacts": [{"organization": "Busschaert, Louise, de Roos, Shannon, Thiery, Wim, Raes, Dirk, De Lannoy, Gabrielle J. M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6760977"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6760977", "name": "item", "description": "10.5281/zenodo.6760977", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6760977"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-27T00:00:00Z"}}, {"id": "10.7910/DVN/1PEEY0", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:24:26Z", "type": "Dataset", "created": "2015-09-30", "title": "Global High-Resolution Soil Profile Database for Crop Modeling Applications", "description": "One of the obstacles in applying advanced crop simulation models such as DSSAT at a grid-based platform is the lack of gridded soil input data at various resolutions. Recently, there has been many efforts in scientific communities to develop spatially continuous soil database across the globe. The most representative example is the SoilGrids 1km released by ISRIC in 2014. In addition recent AfSIS project put a lot of efforts to develop more accurate soil database in Africa at high spatial resolution. Taking advantage of those two available high resolution soil databases (SoilGrids 1km and ISRIC-AfSIS at 1km resolution), this project aims to develop a set of DSSAT compatible soil profiles on 5 arc-minute grid (which is HarvestChoice\u2019s standard grid). Six soil properties (bulk density, organic carbon, percentage of clay and silt, soil pH and cation exchange capacity) available from the original SoilGrids 1km or ISRIC-AfSIS were directly used as DSSAT inputs. We applied a pedo-transfer function to derive some soil hydraulic properties (saturated hydraulic conductivity, soil water content at field capacity, wilting point and saturation) which are critical to simulate crop growth. For other required variables, HarvestChoice\u2019s HC27 database are used as a reference. Final outputs are provided in *.SOL file format (DSSAT soil database) for each country at 5-min resolution. In addition, uncertainty maps for organic carbon and soil water content at wilting points at the top 15 cm soil layers were generated to provide brief idea about accuracy of the final products. The generated soil properties were evaluated by visualizing their global maps and by comparing them with IIASA-IFPRI cropland map and AfSIS-GYGA\u2019s available water content maps.", "keywords": ["Computer and Information Science", "Agricultural Sciences", "Earth and Environmental Sciences", "soil profiles", "crop modelling"], "contacts": [{"organization": "International Research Institute For Climate And Society (IRI), Michigan State University (MSU), HarvestChoice, International Food Policy Research Institute (IFPRI),", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/1PEEY0"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/1PEEY0", "name": "item", "description": "10.7910/DVN/1PEEY0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/1PEEY0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-15T00:00:00Z"}}, {"id": "10396/24059", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:24:44Z", "type": "Report", "title": "Spatial crop-water variations in rainfed wheat systems: From simulation modelling to site-specific management", "description": "Open AccessEn campos en pendiente, los cultivos de secano experimentan diferentes grados de estr\u00e9s h\u00eddrico causados por variaciones espaciales de la humedad en el suelo, y los rendimientos var\u00edan espacialmente dentro del mismo campo. Esta variabilidad supone una oportunidad para la agricultura de precisi\u00f3n a trav\u00e9s del manejo espacialmente variable. Sin embargo, si bien se han logrado avances significativos en los aspectos de la ingenier\u00eda de la variaci\u00f3n espacial, como el aumento de la resoluci\u00f3n espacial de los sistemas de datos y la automatizaci\u00f3n, se ha avanzado mucho menos en relaci\u00f3n a la simulaci\u00f3n de las respuestas de los cultivos a las variaciones espaciales de la humedad y los flujos h\u00eddricos. La mayor\u00eda de los estudios sobre las brechas de rendimiento de secano ignoran la variabilidad dentro de la parcela. Sin embargo, el uso de modelos de simulaci\u00f3n de cultivos como medida de apoyo a los sistemas de gesti\u00f3n espacialmente variable, requiere que los enfoques de modelaci\u00f3n espacial del agua sean capaces de representar y simular con precisi\u00f3n la variaci\u00f3n dentro del campo de los factores relacionados con el agua disponible y la respuesta de los cultivos. Esta tesis doctoral representa una nueva contribuci\u00f3n a la agronom\u00eda de los sistemas agr\u00edcolas de secano, con \u00e9nfasis en el papel que juegan los flujos de agua en zonas de topograf\u00eda ondulada en la determinaci\u00f3n de las variaciones espaciales del rendimiento del trigo. La tesis se ha desarrollado en cap\u00edtulos que se complementan siguiendo un enfoque integrador. La presente tesis doctoral revis\u00f3 algunos de los modelos hidrol\u00f3gicos y de cultivo m\u00e1s ampliamente adoptados y explor\u00f3 nuevas oportunidades para simular variaciones espaciales del agua a nivel de campo mediante la incorporaci\u00f3n del flujo lateral de escorrent\u00eda superficial y sub-superficial en las zonas de menor elevaci\u00f3n del campo. Desde este punto de vista, se evaluaron las variaciones espaciales de las brechas de rendimiento en trigo de secano, en C\u00f3rdoba, Espa\u00f1a, que son causadas por flujos laterales de los puntos altos a los bajos. Desde una perspectiva agron\u00f3mica, las entradas laterales del agua contribuyen a las variaciones de rendimiento en los sistemas de producci\u00f3n de trigo de secano como el que se ha estudiado en el \u00e1mbito de esta tesis. La contribuci\u00f3n neta de estos flujos a las variaciones espaciales de los rendimientos potenciales de secano se mostr\u00f3 relevante pero altamente irregular entre diferentes a\u00f1os. A pesar de la variabilidad interanual, t\u00edpica de las condiciones mediterr\u00e1neas, la existencia de dichos flujos hizo que los rendimientos de trigo simulados variaran un +16% desde las \u00e1reas m\u00e1s elevadas de un campo hacia abajo. El rendimiento medio observado oscil\u00f3 entre 1.3 y 5.4 Mg de rendimiento de grano (GY) ha\u22121. Las respuestas de rendimiento neto al flujo lateral, cuenca abajo, fueron en promedio 383 kg de rendimiento de grano (GY) ha\u22121, y la productividad marginal de agua de LIF alcanz\u00f3 24.6 (\u00b113.2) kg GY ha\u22121 mm\u22121 en a\u00f1os de m\u00e1xima capacidad de respuesta. Dichos a\u00f1os de m\u00e1xima capacidad de respuesta se asociaron con bajas precipitaciones durante las etapas vegetativas del cultivo en combinaci\u00f3n con flujos laterales en las etapas posteriores a la floraci\u00f3n. En condiciones de campo, estas diferencias solo fueron visibles en uno de los dos a\u00f1os experimentales. Las implicaciones econ\u00f3micas asociadas con m\u00faltiples escenarios de tasa de aplicaci\u00f3n variable de nitr\u00f3geno se exploraron a trav\u00e9s de un caso de estudio y se propusieron varias recomendaciones. Tanto el tama\u00f1o de la finca (el \u00e1rea sembrada anual) como la estructura topogr\u00e1fica afectaron la din\u00e1mica de los rendimientos de la inversi\u00f3n. Bajo las condiciones actuales de pol\u00edtica agr\u00edcola, y de precios, la adopci\u00f3n de la tasa de aplicaci\u00f3n variable tendr\u00eda una ventaja econ\u00f3mica en fincas similares a la del caso de estudio con un \u00e1rea sembrada anual superior a 567 ha a\u00f1o\u22121. Sin embargo, las tendencias actuales en los precios de la energ\u00eda, los costes de transporte y los impactos tanto en los precios de los cereales como en los costes de los fertilizantes mejoran la viabilidad de la adopci\u00f3n de esta tecnolog\u00eda para una poblaci\u00f3n m\u00e1s amplia de tipos de fincas. La rentabilidad de la adopci\u00f3n de aplicaci\u00f3n variable de nitr\u00f3geno mejora bajo dichos escenarios y, en ausencia de apoyos adicionales, el \u00e1rea m\u00ednima para la adopci\u00f3n de aplicaci\u00f3n variable disminuye hasta un rango de 68-177 ha a\u00f1o\u22121 de \u00e1rea de siembra. La combinaci\u00f3n de aumentos de precios con la introducci\u00f3n de un subsidio adicional asociado al \u00e1rea de cultivo podr\u00eda reducir sustancialmente el umbral de adopci\u00f3n hasta 46 ha a\u00f1o\u22121, lo que hace que la tecnolog\u00eda sea econ\u00f3micamente viable para una poblaci\u00f3n mucho m\u00e1s amplia de agricultores.", "keywords": ["Agricultural crops", "Water management", "Artificial Neural Network", "Precision agriculture", "Crop modelling", "NDVI", "Spatial modelling", "Machine learning", "Water balance"], "contacts": [{"organization": "Roquette Tenreiro, Tom\u00e1s", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10396/24059"}, {"rel": "self", "type": "application/geo+json", "title": "10396/24059", "name": "item", "description": "10396/24059", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10396/24059"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "3162fe59-0d1a-42fa-bca8-c233d5a11083", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.57, 51.36], [12.57, 53.31], [15.09, 53.31], [15.09, 51.36], [12.57, 51.36]]]}, "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 BonaRes Module A-Project - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S 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 - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-07-12", "type": "Service", "created": "2024-06-12", "language": "eng", "title": "Web Map Service of the dataset 'Crop/plant data I4S Boo\u00dfen experiment 2020-2021'", "description": "This Web Map Service includes spatial information used by datasets 'Crop/plant data I4S Boo\u00dfen experiment 2020-2021'", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index"], "contacts": [{"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": 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": "Siyu Huang", "organization": "ZALF", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "siyu.huang@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0000-8713-5490", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=354003e0-0476-48c8-ba5f-d9c14ec9bfed", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/I4S/ID_5401_Boossen_Brandenburg_2010_2021_samplepoint_1/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "3162fe59-0d1a-42fa-bca8-c233d5a11083", "name": "item", "description": "3162fe59-0d1a-42fa-bca8-c233d5a11083", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3162fe59-0d1a-42fa-bca8-c233d5a11083"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-12T00:00:00Z"}}, {"id": "377bc570-2fc1-4434-aed0-2a34d7520d55", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.75, 48.61], [10.75, 52.8], [15.56, 52.8], [15.56, 48.61], [10.75, 48.61]]]}, "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: \u201cData reused from the BonaRes Data Centre www.bonares.de.\u201d Although every care has been taken in preparing and testing the soil profile data, the author and BonaRes Data Centre cannot guarantee that the data are correct; neither does the author 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. 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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 - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S 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 - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-07-12", "type": "Dataset", "created": "2024-06-12", "language": "eng", "title": "Soil data I4S Boo\u00dfen experiment 2020-2021", "description": "Data collected at a field close to the town Boo\u00dfen, Brandenburg during 2020 and 2021 for the Bonares project IntelligenceForSoil (I4S).\n\nResearch domain: Plant Cultivation and Agricultural Technology\n\nResearch question: None", "formats": [{"name": "CSV"}], "keywords": ["Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "opendata", "Boden"], "contacts": [{"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": 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": "Siyu Huang", "organization": "ZALF", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "siyu.huang@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0000-8713-5490", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=c48a62ac-3a63-4a92-9786-ad18702bf24b", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/15_samplingpoints.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": "c48a62ac-3a63-4a92-9786-ad18702bf24b", "name": "item", "description": "c48a62ac-3a63-4a92-9786-ad18702bf24b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c48a62ac-3a63-4a92-9786-ad18702bf24b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-12T00:00:00Z"}}, {"id": "4fd878bb-90d8-41dd-965d-dcd72f495561", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.96, 52.47], [12.96, 52.47], [12.96, 52.47], [12.96, 52.47], [12.96, 52.47]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "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 BonaRes Module A-Project - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S 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 - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-09-11", "type": "Dataset", "created": "2023-08-22", "language": "eng", "title": "Crop/plant data I4S Marquardt experiment 2017-2021", "description": "Data collected at a field on the ATB-Marquardt experimental station during fertilization/irrigation experiments for the Bonares project IntelligenceForSoil (I4S).", "formats": [{"name": "CSV"}], "keywords": ["Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "opendata", "Boden"], "contacts": [{"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "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": "Evelyn Wallor", "organization": "Hochschule f\u00fcr Nachhaltige Entwicklung Eberswalde", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "Evelyn.Wallor@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=4fd878bb-90d8-41dd-965d-dcd72f495561", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/graphic.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "4fd878bb-90d8-41dd-965d-dcd72f495561", "name": "item", "description": "4fd878bb-90d8-41dd-965d-dcd72f495561", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4fd878bb-90d8-41dd-965d-dcd72f495561"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-11T00:00:00Z"}}, {"id": "3af1450b-6000-4f38-a6e9-89d9c7b726bd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-6.05, 37.28], [-6.05, 65.37], [36.67, 65.37], [36.67, 37.28], [-6.05, 37.28]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "cash crops"}, {"id": "cereal crops"}, {"id": "catch crops"}, {"id": "cover plants"}, {"id": "agronomic characters"}, {"id": "crop modelling"}, {"id": "crop residues"}, {"id": "cropping systems"}, {"id": "field crops"}, {"id": "soil organic carbon"}, {"id": "total carbon"}, {"id": "field experimentation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Kulturpflanze"}, {"id": "Nutzpflanze"}, {"id": "Nutzpflanzenproduktion"}, {"id": "Freilandversuch"}, {"id": "Langzeitversuch"}, {"id": "Versuchsanlage"}, {"id": "Bodennutzung"}, {"id": "Bodentextur"}, {"id": "Bodenart"}], "scheme": "GEMET - Concepts, version 2.4"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Centre's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Centre and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Centre 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 Centre and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2021-06-28", "type": "Dataset", "created": "2021-02-25", "language": "eng", "title": "Agricultural long-term experiments in Europe outside Germany", "description": "This dataset provides information about 186 agricultural long-term experiments (LTE) in Europe (without Germany; For LTE in Germany see https://doi.org/10.20387/BonaRes-3TR6-MG8R) with a duration of at least 20 years. The following information is provided, if available: site, name, start, end (if appropriate), holding institution, research theme, website, networks, research parameters, farming category, size, exact position, experimental setup, crop rotation, soil type, etc.\n\nResearch domain: Other\n\nResearch question: Which kind of agricultural long-term experiments do exist in Europe? Where do they exist? On which soils? How can networking be simplified?\n\nUpdate to data version 1.1: Authors statement: \u00abAGROVOC (https://agrovoc.fao.org/browse/agrovoc/en/) keywords that best describe the respective LTE. In addition, there are generalizing terms that make it easier to find similar LTE on specific topics.\u201d see lineage for more information", "formats": [{"name": "CSV"}], "keywords": ["Soil", "cash crops", "cereal crops", "catch crops", "cover plants", "agronomic characters", "crop modelling", "crop residues", "cropping systems", "field crops", "soil organic carbon", "total carbon", "field experimentation", "opendata", "Boden", "Kulturpflanze", "Nutzpflanze", "Nutzpflanzenproduktion", "Freilandversuch", "Langzeitversuch", "Versuchsanlage", "Bodennutzung", "Bodentextur", "Bodenart"], "contacts": [{"name": "Meike Grosse", "organization": "ZALF", "position": "Scientist", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "meike.grosse@zalf.de"}], "addresses": [{"deliveryPoint": ["ZALF"], "city": "M\u00fcncheberg", "administrativeArea": "M\u00e4rkisch Oderland", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/0000-0003-2832-5264", "protocol": null, "protocol_url": "", "name": "https0000-0003-2832-5264", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Wilfried Hierold", "organization": "ZALF", "position": "Scientist", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "hierold@zalf.de"}], "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 Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Marlen Ahlborn", "organization": "ZALF", "position": "Student assistant", "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "marlen.ahlborn@posteo.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "ZALF", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=3af1450b-6000-4f38-a6e9-89d9c7b726bd", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "3af1450b-6000-4f38-a6e9-89d9c7b726bd", "name": "item", "description": "3af1450b-6000-4f38-a6e9-89d9c7b726bd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3af1450b-6000-4f38-a6e9-89d9c7b726bd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2020-01-06T00:00:00Z", "2021-02-25T00:00:00Z"]}}, {"id": "666fc714-410e-4e04-ba7c-d33a4e3ef2c2", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.96, 52.47], [12.96, 52.47], [12.96, 52.47], [12.96, 52.47], [12.96, 52.47]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "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 BonaRes Module A-Project - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S 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 - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-09-12", "type": "Dataset", "created": "2023-08-22", "language": "eng", "title": "Soil data from I4S Marquardt experiment 2017-2021", "description": "Data collected at a field on the ATB-Marquardt experimental station during fertilization/irrigation experiments for the Bonares project IntelligenceForSoil (I4S).", "formats": [{"name": "CSV"}], "keywords": ["Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "opendata", "Boden"], "contacts": [{"name": "Pablo Rosso", "organization": "ZALF", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "ZALF", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "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": "Evelyn Wallor", "organization": "Hochschule f\u00fcr Nachhaltige Entwicklung Eberswalde", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "Evelyn.Wallor@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "ZALF", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=666fc714-410e-4e04-ba7c-d33a4e3ef2c2", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/graphic.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "666fc714-410e-4e04-ba7c-d33a4e3ef2c2", "name": "item", "description": "666fc714-410e-4e04-ba7c-d33a4e3ef2c2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/666fc714-410e-4e04-ba7c-d33a4e3ef2c2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-12T00:00:00Z"}}, {"id": "b812a3e5-307b-46dc-a0c2-26a6594ce3ec", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.78, 53.37], [13.78, 53.38], [13.81, 53.38], [13.81, 53.37], [13.78, 53.37]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "research facilities"}, {"id": "site factors"}, {"id": "research data"}, {"id": "monitoring"}, {"id": "fertilization"}, {"id": "crop modelling"}, {"id": "crop yield"}, {"id": "cropping systems"}, {"id": "crops"}, {"id": "tillage"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "research station"}, {"id": "focus area"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Umwelt\u00fcberwachung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Uckermark"}, {"id": "Quillow"}, {"id": "Dedelow"}], "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 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": "2024-03-05", "type": "Dataset", "created": "2024-02-05", "language": "eng", "title": "ZALF Focus Area - Site Research Station Dedelow", "description": "Located around 100 km north of Berlin, ZALF operates the Dedelow research station. The Dedelow Site is enclosed by Focus Area Quillow (https://doi.org/10.4228/zalf.7161-ft27). At this site, household (for instance CarboZALF) and third-party funded research projects are carried out, scientific measuring equipment is operated through ZALF, like the FluxCrane for measuring greenhouse gases, the ZALF weather station and Lysimeter and ajoining projects like Tereno (https://www.tereno.net). A big focus is on living labs like the AgroScapeLab Quillow (https://comm.zalf.de/sites/aslq/SitePages/Home.aspx).
\nDedelow is located in the northeast German glacial landscape and is characterized by a domed ground moraine. This is particularly evident in the small-scale heterogeneous soil properties and changing terrain profiles (knolls, depressions). Climatically, Dedelow is a continentally influenced location with 500 mm annual precipitation and an annual mean temperature of 8.7 \u00b0C, which is characterized by frequent pre-summer drought.
\nThe dominant soil type is para-brown earth. Dedelow is one of the better sites in the Uckermark with a soil index of 35 - 50. The composition of the topsoil (10% clay - 30% silt - 60% sand) corresponds to a sandy loam, the supply of basic nutrients is in the B/C range.
\nThe Dedelow trial station has the personnel and field trial technology to implement different cultivation systems in different plot sizes. There is also close contact with farmers in the region through field days and long-term cooperation.
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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": "2025-04-10", "type": "Dataset", "created": "2025-02-03", "language": "eng", "title": "Research Station M\u00fcncheberg", "description": "The ZALF Focus Area \u2013 Muencheberg is situated 50km East of Berlin in the District of Maerkisch-Oderland. It borders the Naturpark Maerkische Schweiz (https://nationale-naturlandschaften.de/gebiete/naturpark-maerkische-schweiz, https://www.naturschutzfonds.de/natur-erleben/landschaften/naturpark-maerkische-schweiz).
\nIt is a typical site of the glacial moraine landscape of the North German Lowland approx. 62 m above sea level. The site of the experimental station is from flat to easily incline. Typical soil types are Albic and Ortic Luvisols, Cambic and Luvic Arenosols. The soils are far from groundwater with mean clay content of around 5-10% in the top soil (0-25 cm). Carbon content, natural pH and the base-saturation are low. The topsoil (0-25 cm) contains around 1% humus. The soil is free of lime. It tends to acidification and requires regular liming.
\nThe weather is characterised by a continental-influenced humid inland climate with an average of 548 mm precipitation and 8.9\u00b0C annual temperature (reference period 1981-2010). Compared to the period 1951-1980, temperature and rainfall have increased by 0.7\u00b0C and 19 mm, respectively. An increase of periods of pronounced pre-summer drought is the consequence of the changing climate.
\nThe current focus of the trials is research on climate-adapted and diversity-promoting agricultural systems through the implementation of new crops in crop rotations, conservation tillage and reduced use of pesticides, especially herbicides. The research station Muencheberg is in charge of two long-term field trials, the \"M\u00fcncheberger N\u00e4hrstoffsteigerungsversuch V140/00\u201d (https://doi.org/10.20387/bonares-8fhj-r52g) and the field model trial \u201cKrumenaufbau\u201d V210/02.\nIt manages 42 ha arable land. In addition to the classic field trials, the research station supports agricultural research in the agricultural landscape such as the landscape laboratory patchCrop (https://doi.org/10.4228/zalf-ztwg-fh58).
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INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "M\u00e4rkisch-Oderland"}, {"id": "M\u00fcncheberg"}, {"id": "Ackerbauregion Ostbrandenburg"}], "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 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": "2023-07-21", "type": "Dataset", "created": "2023-07-10", "language": "eng", "title": "ZALF Focus Area - M\u00fcncheberg", "description": "The ZALF Focus Area \u2013 M\u00fcncheberg is situated 50km East of Berlin in the District of M\u00e4rkisch-Oderland. It borders the Naturpark M\u00e4rkische Schweiz (https://nationale-naturlandschaften.de/gebiete/naturpark-maerkische-schweiz, https://www.naturschutzfonds.de/natur-erleben/landschaften/naturpark-maerkische-schweiz).
\n\nIt is a typical site of the glacial moraine landscape of the North German Lowland approx. 62 m above sea level. The site of the experimental station is from flat to easily incline. Typical soil types are Albic and Ortic Luvisols, Cambic and Luvic Arenosols. The soils are far from groundwater with mean clay content of around 5-10% in the top soil (0-25 cm). Carbon content, natural pH and the base-saturation are low. The topsoil (0-25 cm) contains around 1% humus. The soil is free of lime. It tends to acidification and requires regular liming.
\n\nThe weather is characterised by a continental-influenced humid inland climate with an average of 548 mm precipitation and 8.9\u00b0C annual temperature (reference period 1981-2010). Compared to the period 1951-1980, temperature and rainfall have increased by 0.7\u00b0C and 19 mm, respectively. An increase of periods of pronounced pre-summer drought is the consequence of the changing climate.
\n\nThe current focus of the trials is research on climate-adapted and diversity-promoting agricultural systems through the implementation of new crops in crop rotations, conservation tillage and reduced use of pesticides, especially herbicides.
\nThe research station M\u00fcncheberg is in charge of two long-term field trials, the \"M\u00fcncheberger N\u00e4hrstoffsteigerungsversuch V140/00\u201d (https://doi.org/10.20387/bonares-8fhj-r52g) and the field model trial \u201cKrumenaufbau\u201d V210/02.
\nIt manages 42 ha arable land. In addition to the classic field trials, the research station supports agricultural research in the agricultural landscape such as the landscape laboratory patchCrop (https://doi.org/10.4228/zalf-ztwg-fh58).