{"type": "FeatureCollection", "features": [{"id": "10.1007/978-94-007-0394-0_20", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:40Z", "created": "2011-02-08", "title": "Biofuels, Greenhouse Gases And Climate Change", "description": "Biofuels are fuels produced from biomass, mostly in liquid form, within a time frame sufficiently short to consider that their feedstock (biomass) can be renewed, contrarily to fossil fuels. This paper reviews the current and future biofuel technologies, and their development impacts (including on the climate) within given policy and economic frameworks. Current technologies make it possible to provide first generation biodiesel, ethanol or biogas to the transport sector to be blended with fossil fuels. Still under-development 2nd generation biofuels from lignocellulose should be available on the market by 2020. Research is active on the improvement of their conversion efficiency. A ten-fold increase compared with current cost-effective capacities would make them highly competitive. Within bioenergy policies, emphasis has been put on biofuels for transportation as this sector is fast-growing and represents a major source of anthropogenic greenhouse gas emissions. Compared with fossil fuels, biofuel combustion can emit less greenhouse gases throughout their life cycle, considering that part of the emitted returns to the atmosphere where it was fixed from by photosynthesis in the first place. Life cycle assessment (LCA) is commonly used to assess the potential environmental impacts of biofuel chains, notably the impact on global warming. This tool, whose holistic nature is fundamental to avoid pollution trade-offs, is a standardised methodology that should make comparisons between biofuel and fossil fuel chains objective and thorough. However, it is a complex and time-consuming process, which requires lots of data, and whose methodology is still lacking harmonisation. Hence the life-cycle performances of biofuel chains vary widely in the literature. Furthermore, LCA is a site- and time- independent tool that cannot take into account the spatial and temporal dimensions of emissions, and can hardly serve as a decision-making tool either at local or regional levels. Focusing on greenhouse gases, emission factors used in LCAs give a rough estimate of the potential average emissions on a national level. However, they do not take into account the types of crop, soil or management practices, for instance. Modelling the impact of local factors on the determinism of greenhouse gas emissions can provide better estimates for LCA on the local level, which would be the relevant scale and degree of reliability for decision-making purposes. Nevertheless, a deeper understanding of the processes involved, most notably emissions, is still needed to definitely improve the accuracy of LCA. Perennial crops are a promising option for biofuels, due to their rapid and efficient use of nitrogen, and their limited farming operations. However, the main overall limiting factor to biofuel development will ultimately be land availability. Given the available land areas, population growth rate and consumption behaviours, it would be possible to reach by 2030 a global 10% biofuel share in the transport sector, contributing to lower global greenhouse gas emissions by up to (IEA, 2006), provided that harmonised policies ensure that sustainability criteria for the production systems are respected worldwide. Furthermore, policies should also be more integrative across sectors, so that changes in energy efficiency, the automotive sector and global consumption patterns converge towards drastic reduction of the pressure on resources. Indeed, neither biofuels nor other energy source or carriers are likely to mitigate the impacts of anthropogenic pressure on resources in a range that would compensate for this pressure growth. Hence, the first step is to reduce this pressure by starting from the variable that drives it up, i.e. anthropic consumptions.", "keywords": ["effet de serre", "BIOFUELS;ENERGY CROPS;PERENNIALS;LCA;GREENHOUSE GASES;CLIMATE CHANGE;POLITICAL AND ECONOMIC FRAMEWORKS;BIOENERGY POTENTIAL;LAND-USE CHANGE;NITROUS OXIDE;CARBON DIOXIDE;AGRICULTURAL PRATICES \u00a0;AGRONOMIE;", "0211 other engineering and technologies", "02 engineering and technology", "7. Clean energy", "12. Responsible consumption", "dioxyde de carbone", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "biomasse", "pratique culturale", "\u00e9nergie", "2. Zero hunger", "changement climatique", "oxyde nitreux", "gaz trace", "\u00e9mission", "Agricultural sciences", "flux", "culture \u00e9nerg\u00e9tique", "cycle de vie", "biocarburant", "13. Climate action", "politique \u00e9nerg\u00e9tique", "impact sur l'environnement", "Sciences agricoles"]}, "links": [{"href": "https://doi.org/10.1007/978-94-007-0394-0_20"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-94-007-0394-0_20", "name": "item", "description": "10.1007/978-94-007-0394-0_20", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-94-007-0394-0_20"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-01-01T00:00:00Z"}}, {"id": "10.1016/j.spc.2024.04.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:38Z", "type": "Journal Article", "created": "2024-04-08", "title": "Unravelling life cycle impacts of coffee: Why do results differ so much among studies?", "description": "Coffee beans are a major agricultural product and coffee is one of the most widely traded commodities and consumed beverages globally. Supply chains and cropping systems are very diverse, with contrasted potentials and performance, as well as environmental impacts. Life Cycle Assessment (LCA) studies are needed to inform on reduction in impacts, but there is a lack of comprehensive understanding of the variability of existing LCA results and impacts of the cropping systems and their trade-offs along the supply chains. In an attempt to address this knowledge gap, the paper presents a systematic literature review of coffee LCA, considering a total of 34 studies covering 234 coffee systems. Global warming potential (GWP) was the impact category most reported in the literature, but the results varied greatly at both the farm and drink levels. For the former, the GWP values ranged from 0.15 to 14.5 (median: 3.6) kg CO 2 eq./kg green coffee beans and for the latter the values ranged from 2 to 23 (median: 8.8) kg CO 2 eq./kg consumed coffee in drinks. Main contributors to the GWP of production of green coffee beans were land use change (LUC), fertilisers and wet processing. However, there were great inconsistencies across studies in terms of LUC accounting, field emissions and wet process modelling. Green coffee beans production was also the main contributor to the GWP of coffee consumed, followed by brewing and coffee cup washing. Some studies covered other impacts, in addition to GWP. At both the farm and drink levels, fertilisers and pesticides were the main contributors to eutrophication and acidification, and to ecotoxicity, respectively. Brewing was the second main contributor at the drink level, in some cases the top contributor for energy -related indicators. Assumptions on packaging, cup washing and waste disposal were highly variable across studies. Water impact indicators were hardly comparable due to the system variability and method inconsistencies. Given the large diversity of coffee cropping systems worldwide, but also the diversity of possible coffee drinks, we recommend that LCA studies be standardised with respect to the definition of the functional unit, including consistent quality aspects for both green coffee beans (moisture) and coffee drinks (organoleptic properties). They should also be more thorough in detailing processes at all stages. More attention should be paid to the farming system complexity and a mass balance should be ensured when assessing biomass flows concerning LUC, co -products and residue emissions. Finally, more primary data would be needed to decipher the cropping system diversity, as well as to characterise emissions from all inputs to the field and bean processing, notably for wet and semi -wet processing.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "traitement des d\u00e9chets", "http://aims.fao.org/aos/agrovoc/c_24420", "http://aims.fao.org/aos/agrovoc/c_37938", "F08 - Syst\u00e8mes et modes de culture", "Coffea", "Coffee", "7. Clean energy", "630", "333", "irrigation", "12. Responsible consumption", "Life cycle assessment", "http://aims.fao.org/aos/agrovoc/c_9000105", "11. Sustainability", "http://aims.fao.org/aos/agrovoc/c_35352", "http://aims.fao.org/aos/agrovoc/c_1720", "http://aims.fao.org/aos/agrovoc/c_1721", "http://aims.fao.org/aos/agrovoc/c_2018", "syst\u00e8me de culture", "pratique culturale", "analyse du cycle de vie", "agroforesterie", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "http://aims.fao.org/aos/agrovoc/c_28379", "http://aims.fao.org/aos/agrovoc/c_34836", "E90 - Structure agraire", "r\u00e9chauffement global", "Agriculture", "Coffea arabica", "Environmental impacts", "15. Life on land", "Carbon footprint", "http://aims.fao.org/aos/agrovoc/c_207", "6. Clean water", "f\u00e8ve de caf\u00e9", "\u00e9cotoxicit\u00e9", "13. Climate action", "http://aims.fao.org/aos/agrovoc/c_3954", "impact sur l'environnement", "http://aims.fao.org/aos/agrovoc/c_1971", "http://aims.fao.org/aos/agrovoc/c_36259", "\u00e9valuation de l'impact"]}, "links": [{"href": "https://doi.org/10.1016/j.spc.2024.04.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainable%20Production%20and%20Consumption", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.spc.2024.04.005", "name": "item", "description": "10.1016/j.spc.2024.04.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.spc.2024.04.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-01T00:00:00Z"}}, {"id": "10.3390/su12062170", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:02Z", "type": "Journal Article", "created": "2020-03-12", "title": "Argumentation Corrected Context Weighting-Life Cycle Assessment: A Practical Method of Including Stakeholder Perspectives in Multi-Criteria Decision Support for LCA", "description": "<p>Despite advances in the data, models, and methods underpinning environmental life cycle assessment (LCA), it remains challenging for practitioners to effectively communicate and interpret results. These shortcomings can bias decisions and hinder public acceptance for planning supported by LCA. This paper introduces a method for interpreting LCA results, the Argumentation Corrected Context Weighting-LCA (ArgCW-LCA), to overcome these barriers. ArgCW-LCA incorporates stakeholder preferences, corrects unjustified disagreements, and allows for the inclusion of non-environmental impacts (e.g., economic, social, etc.) using a novel weighting scheme and the application of multi-criteria decision analysis to provide transparent and context-relevant decision support. We illustrate the utility of the method through two case studies: a hypothetical decision regarding energy production and a real-world decision regarding polyphenol extraction technologies. In each case, we surveyed a relevant stakeholder group on their environmental views and fed their responses into the model to provide decision support that is relevant to their perspective. We found marked differences between results using ArgCW-LCA and results from a conventional analysis using an equal-weighting scheme, as well as differentiation between stakeholder preference groups, indicating the importance of applying the perspective of the particular stakeholder group. For instance, there was a rank reversal of alternatives when comparing between an equal weighting approach for all environmental and economic dimensions and ArgCW-LCA. ArgCW-LCA provides opportunity for both public and private sector incorporation of LCA, such as in developing enlightened stakeholder value measures. This is achieved through enabling the LCA practition to provide public and private actors\uffe2\uff80\uff99 interpreted LCA results in a manner that incorporates educated stakeholder perspectives. Furthermore, the method encourages stakeholder multiplicity through participatory design and policymaking that can enhance public backing of actions that can make society more sustainable.</p>", "keywords": ["[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]", "decision-support", "Environmental management", "330", "[SDE.IE]Environmental Sciences/Environmental Engineering", "02 engineering and technology", "/dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production", "multi-criteria decision analysis", "Decision-support", "01 natural sciences", "7. Clean energy", "[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]", "12. Responsible consumption", "environmental management", "Life cycle assessment", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "Analyse cycle de vie", "life cycle assessment", "Multi-criteria decision analysis", "0202 electrical engineering", " electronic engineering", " information engineering", "participatory design", "[SDE.IE] Environmental Sciences/Environmental Engineering", "10. No inequality", "Participatory design", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/6/2170/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/6/2170/pdf"}, {"href": "https://doi.org/10.3390/su12062170"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su12062170", "name": "item", "description": "10.3390/su12062170", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12062170"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-11T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cycle+de+vie&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=cycle+de+vie&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=cycle+de+vie&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cycle+de+vie&offset=3", "hreflang": "en-US"}], "numberMatched": 3, "numberReturned": 3, "distributedFeatures": [], "timeStamp": "2026-05-31T01:15:11.478742Z"}