{"type": "FeatureCollection", "features": [{"id": "10.1016/j.still.2022.105397", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:21Z", "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": "10.5061/dryad.18931zd1m", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:28Z", "type": "Dataset", "title": "Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale", "description": "unspecifiedThis is the input dataset to a Python script  (https://github.com/oskeng/MF-bio-grass) used to model the effects of  widespread deployment of grass in rotations with annual crops to provide  biomass while remediating soil organic carbon (SOC) losses and other  environmental impacts. For more information about the dataset and the  study, see the original article: Englund, O., Mola-Yudego, B., B\u00f6rjesson,  P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale  deployment of grass in crop rotations as a multifunctional climate  mitigation strategy. GCB Bioenergy", "keywords": ["2. Zero hunger", "spatial modelling", "climate mitigation", "grass", "Agriculture", "FOS: Earth and related environmental sciences", "15. Life on land", "Environmental impacts", "Soil carbon", "Europe", "13. 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Report describing methodologies (pdf) and summary table of country level soil carbon stock change (excel) are also included. For each of 9 different land use scenarios, maps of the 20 year change in SOC stocks (Mg C ha-1) are supplied. For a restoration to native vegetation scenario, the eventual steady state SOC stocks are also supplied.  Spatial maps of IPCC climate zones, IPCC SOC reference stocks, and land classes are included.   Scenario file are named scenario_xxxx_dSOC_Yzz where: xxxx = scenario name, and zz = years after change in land use or management  All scenario rasters are in units of Mg C / ha to 30 cm depth  Scenarios --  crop_MG: Cropland, improved management only;  crop_MGI: Cropland, improved management and inputs;  crop_I: Cropland, improved inputs only;  grass-part: Grassland, partial restoration;  grass-full: Grassland, full restoration;  rewilding: Restoration to natural vegetation;  degradation-ForestToGrass: Degradation (includes deforestation to degraded grassland condition);  degradation-ForestToCrop: Degradation (includes deforestation to cropland);  degradation-NoDeforestation: Degradation (no deforestation).", "keywords": ["climate mitigation", "Earth and Environmental Sciences", "soil", "agriculture"], "contacts": [{"organization": "Sanderman, Jonathan, Woolf, Dominic, Lehmann, Johannes, Rivard, Charlotte, Poggio, Laura, Heuvelink, Gerard, Bossio, Deborah,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HA17D3"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HA17D3", "name": "item", "description": "10.7910/DVN/HA17D3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HA17D3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "de2df446-c93b-4bea-8fc1-cad0d1d976ce", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-56.51, 24.28], [-56.51, 72.66], [72.91, 72.66], [72.91, 24.28], [-56.51, 24.28]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Land use"}], "scheme": "http://inspire.ec.europa.eu/theme"}, {"concepts": [{"id": "land use"}, {"id": "general"}], "scheme": "http://geonetwork-opensource.org/gemet"}, {"concepts": [{"id": "EEA38 (from 2020)"}, {"id": "United Kingdom"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "European"}], "scheme": "Spatial scope"}, {"concepts": [{"id": "2024 2.2.4"}], "scheme": "EEA Management Plan"}, {"concepts": [{"id": "Land use"}, {"id": "Climate mitigation"}], "scheme": "https://www.eea.europa.eu/themes"}], "updated": "2024-07-03T12:15:36.887423Z", "type": "Dataset", "created": "2024-02-01", "language": "eng", "title": "Harmonized imperviousness layer 2009 (raster 1km), Feb. 2024", "description": "This metadata describes the Harmonized Imperviousness raster dataset for the year 2009. 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