{"type": "FeatureCollection", "features": [{"id": "10.1016/j.still.2022.105397", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-19T16:16:18Z", "type": "Journal Article", "created": "2022-04-16", "title": "Biomass yield, yield stability and soil carbon and nitrogen content under cropping systems destined for biorefineries", "description": "<p>Sustainable agriculture should aim to increase biomass yield and yield stability, while protecting soil carbon (C) and nitrogen (N) content. However, few studies have concurrently explored changes in biomass yield, yield stability and soil C and N content under different cropping systems targeting biorefinery. In this study, 10 different cropping systems were simultaneously investigated from 2012 to 2017 in central Denmark on a loamy sand soil, including (1) two continuous monocultures of annual crops, (2) one optimized crop rotation, (3) five intensively fertilized perennial grasses, and (4) two grass-legume mixtures without nitrogen (N) fertilization. Our results showed that biomass yield and yield stability differed highly across the cropping systems, highlighting crop-specific characteristics. Of the 10 cropping systems, tall fescue significantly increased soil C and N content at 0\u201320 cm depth, while sustaining high biomass yield and yield stability. There was no clear relationship between biomass yield, yield stability and changes in soil C and N content, challenging some recent findings on the conflicts between increasing biomass yield and protecting soil C and N content. Indeed, the lack of relationships suggest that there is considerable potential to increase biomass yield and yield stability without compromising soil C and N content through selecting proper cropping systems and managements. Altogether, our results underscore how crop-specific documentation of biomass yield, yield stability and changes in soil C and N content on the same experimental platform can advance the understanding of sustainable agriculture for biorefineries, although long-term continuous observations are still required to better clarify the relations between them.</p>", "keywords": ["2. Zero hunger", "0106 biological sciences", "Optimized crop rotation", "Climate mitigation", "Sustainable agriculture", "Aboveground biomass", "04 agricultural and veterinary sciences", "15. Life on land", "Diversified cropping systems", "01 natural sciences", "12. Responsible consumption", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Grass legume mixture", "Perennial grass", "Conventional agriculture"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2022.105397"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2022.105397", "name": "item", "description": "10.1016/j.still.2022.105397", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2022.105397"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-01T00:00:00Z"}}, {"id": "2a68dcc2-8606-494a-a13d-3e1d0af2f7eb", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.79, 49.98], [10.79, 51.71], [12.6, 51.71], [12.6, 49.98], [10.79, 49.98]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "conventional agriculture"}, {"id": "microclimate"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "wind speed"}, {"id": "wind direction"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "ground heat flux"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "crop land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rischer Vorgang"}, {"id": "Luftbewegung"}, {"id": "Atmosph\u00e4rische Bedingungen"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. 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Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction, air pressure and precipitation were continuously measured since March 2016. All instruments were installed at a 10 m tall weather mast and the data were automatically collected. The weather mast was installed directly at the agroforestry plot of Dornburg (Thuringia). The agroforestry system in Dornburg is of a crop land alley cropping type, where poplar tree strips and crop land alternate. 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(e.g. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-SIGNAL 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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(e.g. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-18", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Mariensee Conventional from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The objective of the sub project was to investigate the effect of agroforestry on evapotranspiration on a whole system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. Half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. Besides the latter energy balance components, also standard meteorological data, such as global radiation, air temperature, relative humidity, wind speed and -direction and precipitation were continuously measured since March 2016. All instruments were installed at a 3.5 m tall weather mast and the data were automatically collected. The weather mast was installed at the reference plot of Mariensee. That plot is treated as conventional agriculture, in this case gras land. The collected data at the reference plot were used to compare the evapotranspiration rates and microclimate data of the near by agroforestry plot (in about 100 m distance). The current data set contains standard meteorological data, soil temperature and -water content as 30 minute averages.", "formats": [{"name": "CSV"}], "keywords": ["meteorological observations", "conventional agriculture", "microclimate", "air temperature", "relative humidity", "wind speed", "wind direction", "global radiation", "net radiation", "ground heat flux", "soil temperature", "soil water content", "grass land", "Atmosph\u00e4rische Bedingungen", "Boden"], "contacts": [{"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PhD Student", "roles": ["author"], "phones": [{"value": "05513920597"}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lukas Siebicke", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "PostDoc", "roles": ["supervisor"], "phones": [{"value": "0551398100"}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Alexander Knohl", "organization": "University of G\u00f6ttingen, Bioclimatology", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "05513933682"}], "emails": [{"value": "aknohl@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen, Bioclimatology", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=8c05b2d1-ebfd-4cc5-b700-7591479f4ca9", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "8c05b2d1-ebfd-4cc5-b700-7591479f4ca9", "name": "item", "description": "8c05b2d1-ebfd-4cc5-b700-7591479f4ca9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8c05b2d1-ebfd-4cc5-b700-7591479f4ca9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-03-17T00:00:00Z", "2018-01-01T00:00:00Z"]}}, {"id": "5e2780c4-4c84-4387-a09f-266cab2b7de8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.84, 50.33], [10.84, 51.6], [12.36, 51.6], [12.36, 50.33], [10.84, 50.33]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "meteorological observations"}, {"id": "conventional agriculture"}, {"id": "microclimate"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "wind speed"}, {"id": "wind direction"}, {"id": "global radiation"}, {"id": "net radiation"}, {"id": "ground heat flux"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "crop land"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Atmosph\u00e4rische Bedingungen"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. (e.g. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-SIGNAL 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": "2024-02-22", "type": "Dataset", "created": "2018-09-17", "language": "eng", "title": "Meteorological data, soil temperature and soil water content for Dornburg Conventional from 2016 to 2017", "description": "The data set was provided by the responsible parties of the SIGNAL sub project \u201cEvaporation and transpiration of agroforestry\u201d. The objective of the sub project was to investigate the effect of agroforestry on evapotranspiration on a whole system scale. We applied the so called surface energy balance method to calculate half hourly evapotranspiration rates. Half hourly evapotranspiration rates were calculated as a residual of the net radiation, the sensible heat flux and the ground heat flux. 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