{"type": "FeatureCollection", "features": [{"id": "10.1016/j.eja.2019.125974", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:50Z", "type": "Journal Article", "created": "2019-11-29", "title": "Protein-rich legume and pseudo-cereal crop suitability under present and future European climates", "description": "Abstract   Replacing animal proteins with plant proteins in diets has been demonstrated to have both health and environmental advantages, driving a debate about the potential of protein-rich crops as dietary replacements for animal products. However, there is a lack of knowledge on how climate change could influence the potential for producing protein-rich crops. This study addresses this knowledge gap for the European Union. We analysed 13 protein-rich crops, using the crop suitability model EcoCrop and climate projections for the 2050s, based on 30 Global Circulation Models, under the Representative Concentration Pathway 4.5. The results suggest that current protein-rich crop distributions reflect climatic suitability. We demonstrate the heterogeneous impacts of climate change on crop suitability. In general, conditions in northern Europe were modelled to become more favourable for protein-rich crops, while in southern Europe modelled future climates limit the production of traditional protein-rich crops commonly grown there, including chickpea and lentil. Model results show an expanded area of high suitability for quinoa. Our results confirm the need for concerted breeding and research planning strategies to improve the tolerance of faba bean, lentil, and chickpea to the abiotic stresses that are predicted to become more common with climate change. At the same time, production in northern Europe can benefit from experimentation with protein-rich crops predicted to become more suitable there. Production planning and agricultural policy should consider these likely impacts, to encourage shifts that follow the emerging geographic patterns of crop suitability, and to support the resilience of protein-rich crop production in regions that may be negatively impacted by climate change.", "keywords": ["2. Zero hunger", "Horizon 2020", "abiotic stress", "EC", "legumes", "H2020", "Soil Science", "Plant Science", "04 agricultural and veterinary sciences", "15. Life on land", "crops", "Energy Research", "01 natural sciences", "proteins", "Research and Innovation action", "climate change", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "European Commission", "Agronomy and Crop Science", "Knowmad Institut", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2019.125974"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eja.2019.125974", "name": "item", "description": "10.1016/j.eja.2019.125974", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2019.125974"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-01T00:00:00Z"}}, {"id": "10.1111/gcbb.12028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:41Z", "type": "Journal Article", "created": "2012-12-22", "title": "An Energy-Biochar Chain Involving Biomass Gasification And Rice Cultivation In Northern Italy", "description": "Abstract<p>The competing demand for food and bioenergy requires new solutions for the agricultural sector as, for instance, the coupling of energy production from gasification technology and the application of the resulting biochar as soil amendment. A prerequisite for the implementation of this strategy is the scale\uffe2\uff80\uff90specific assessment of both the energetic performance and of the impacts in terms of greenhouse gases (GHG) emission and crop responses. This study considered the gasification process developed by Advanced Gasification Technology (AGT, Italy), which is a fixed\uffe2\uff80\uff90bed, down\uffe2\uff80\uff90draft, open core, compact gasifier, having 350\uffc2\uffa0kW of nominal electric capacity (microgeneration); this gasifier uses biomass feedstock deriving from agricultural/forest products and byproducts. In this study, the resulting biochar, derived from conifer wood chips of mountain forestry management in North\uffe2\uff80\uff90western Italy, was applied to a nearby paddy rice field, located in the largest rice agricultural area of Europe. We performed a Life Cycle Analysis (LCA) adapting the BEAT2 model specifically focusing on the GHG balance of the supply chain, from the forestry management to the field distribution of the resulting biochar. The results indicated that the gasification stage had the highest impact in the supply chain in terms of emissions, but net emissions allocated to biochar were always negative (ranging between \uffe2\uff88\uff920.54 and \uffe2\uff88\uff922.1\uffc2\uffa0t CO2e\uffc2\uffa0t\uffe2\uff88\uff921 biochar), hypothesizing two scenarios of 32% and 7.3% biochar mineralization rate in soil, over a time period of 100\uffc2\uffa0years. Finally, biochar had a marginal but positive effect on rice yield, thus increasing the sustainability of this energy\uffe2\uff80\uff90biochar chain.</p>", "keywords": ["330", "gasification", "01 natural sciences", "7. Clean energy", "630", "Paddy rice", "Environment (including Climate Change)", "12. Responsible consumption", "Life cycle assessment", "Rural Digital Europe", "life cycle assessment", "11. Sustainability", "biochar", "Energy-biochar chain", "European Commission", "Rice yield", "Waste Management and Disposal", "Knowmad Institut", "0105 earth and related environmental sciences", "FP7", "2. Zero hunger", "EC", "Renewable Energy", " Sustainability and the Environment", "SP1-Cooperation", "Forestry", "04 agricultural and veterinary sciences", "15. Life on land", "Energy Research", "rice yield", "Biochar", "13. Climate action", "paddy rice", "0401 agriculture", " forestry", " and fisheries", "energy-biochar chain", "Agronomy and Crop Science", "Gasification"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12028"}, {"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/gcbb.12028", "name": "item", "description": "10.1111/gcbb.12028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-21T00:00:00Z"}}, {"id": "10.2166/wst.2018.398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:24Z", "type": "Journal Article", "created": "2018-10-04", "title": "Sensitivity analysis for an elemental sulfur-based two-step denitrification model", "description": "Abstract                <p>A local sensitivity analysis was performed for a chemically synthesized elemental sulfur (S0)-based two-step denitrification model, accounting for nitrite (NO2\uffe2\uff88\uff92) accumulation, biomass growth and S0 hydrolysis. The sensitivity analysis was aimed at verifying the model stability, understanding the model structure and individuating the model parameters to be further optimized. The mass specific area of the sulfur particles (a*) and hydrolysis kinetic constant (k1) were identified as the dominant parameters on the model outputs, i.e. nitrate (NO3\uffe2\uff88\uff92), NO2\uffe2\uff88\uff92 and sulfate (SO42\uffe2\uff88\uff92) concentrations, confirming that the microbially catalyzed S0 hydrolysis is the rate-limiting step during S0-driven denitrification. Additionally, the maximum growth rates of the denitrifying biomass on NO3\uffe2\uff88\uff92 and NO2\uffe2\uff88\uff92 were detected as the most sensitive kinetic parameters.</p>", "keywords": ["Elemental sulfur", "Environmental Engineering", "0207 environmental engineering", "Biological surface-based hydrolysis; Elemental sulfur; Mathematical modeling; Sensitivity analysis; Two-step autotrophic denitrification; Environmental Engineering; Water Science and Technology", "02 engineering and technology", "01 natural sciences", "Two-step autotrophic denitrification", "Bioreactors", "European Joint Doctorates", "European Commission", "Knowmad Institut", "Biological surface-based hydrolysis", "Nitrites", "Netherlands", "Water Science and Technology", "0105 earth and related environmental sciences", "Aurora Universities Network", "EC", "Nitrates", "H2020", "Energy Research", "13. Climate action", "Denitrification", "Mathematical modeling", "Sensitivity analysis", "Sulfur"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/724909/2/2018%20-%20Kostrytsia%20et%20al.%20-%20Water%20Science%20%26%20Technology%20-%20Sensitivity%20analysis%20for%20S0-based%20denitrification%20model.pdf"}, {"href": "http://iwaponline.com/wst/article-pdf/78/6/1296/504647/wst078061296.pdf"}, {"href": "https://doi.org/10.2166/wst.2018.398"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Science%20and%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2166/wst.2018.398", "name": "item", "description": "10.2166/wst.2018.398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2166/wst.2018.398"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-20T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Energy+Research&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Energy+Research&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Energy+Research&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Energy+Research&offset=3", "hreflang": "en-US"}], "numberMatched": 3, "numberReturned": 3, "distributedFeatures": [], "timeStamp": "2026-05-26T09:12:23.241815Z"}