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      Setting life cycle assessment (LCA) in a future-oriented context: the combination of qualitative scenarios and LCA in the agri-food sector

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          Abstract

          By combining qualitative scenarios and life cycle assessment (LCA), we place the latter in a larger context. This study outlines the importance of the integration of future perspectives into LCA, and also the significance of taking changes in the environment of technology into account, rather than just technological development itself. Accordingly, we focused on adapting the background system of an attributional LCA in the agri-food sector. The proposed technology was assumed not have evolved in the considered time horizon. In this context, the objectives of this paper were twofold: (i) to methodologically prove the applicability of integrating qualitative scenarios into LCA and (ii) to focus on changes in the background system, which is sometimes overlooked in the context of future-oriented LCA. This allowed to evaluate the future potential of different technologies, assessing their environmental impact under uncertain future developments. Methodologically, the qualitative information from scenarios was transformed into quantitative data, which was successively fed into the life cycle inventory (LCI) of the LCA approach. This point of integration into the second phase of LCA translates into future changes in the entire environment in which a technology is used. This means that qualitatively described scenario narratives need to be converted into value estimates in order to be incorporated into the LCA model. A key conclusion is that changes in the background of an LCA—the changing framework expressed through the inventory database—can be very important for the environmental impact of emerging technologies. This approach was applied to a food processing technology to produce apple juice. The proposed methodology enables technology developers to make their products future-proof and robust against socioeconomic development. In addition, the market perspective, if spelled out in the scenarios, can be integrated, leading to a more holistic picture of LCA with its environmental focus, while simultaneously empowering actors to make the right strategic decisions today, especially when considering the long investment cycles in the agri-food sector.

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          Options for keeping the food system within environmental limits

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            Twenty years of ecosystem services: How far have we come and how far do we still need to go?

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              A global synthesis reveals biodiversity-mediated benefits for crop production

              Biodiversity benefits pollination, pest control, and crop productivity but suffers from land-use intensification.
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                Author and article information

                Contributors
                ariane.voglhuber-slavinsky@isi.fraunhofer.de
                Journal
                Eur J Futures Res
                European Journal of Futures Research
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2195-4194
                2195-2248
                27 June 2022
                27 June 2022
                2022
                : 10
                : 1
                : 15
                Affiliations
                [1 ]GRID grid.459551.9, ISNI 0000 0001 1945 4326, Competence Center Foresight, , Fraunhofer Institute for Systems and Innovation Research ISI, ; Breslauer Straße 48, 76139 Karlsruhe, Germany
                [2 ]GRID grid.9464.f, ISNI 0000 0001 2290 1502, Institute of Farm Management, , University of Hohenheim, ; Schwerzstraße 44, 70599 Stuttgart, Baden-Württemberg Germany
                [3 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Division of Bioeconomics, Department of Earth and Environmental Sciences, , KU Leuven, ; Celestijnenlaan 200E box 2411, 3001 Leuven, Belgium
                [4 ]GRID grid.424202.2, ISNI 0000 0004 0427 4308, DIL German Institute of Food Technologies e.V, ; Prof.-von-Klitzing-Str. 7, D-49610 Quakenbrück, Germany
                Author information
                http://orcid.org/0000-0002-2131-5066
                http://orcid.org/0000-0003-1409-2287
                http://orcid.org/0000-0002-5471-0521
                http://orcid.org/0000-0001-7576-9365
                http://orcid.org/0000-0002-6255-7141
                http://orcid.org/0000-0003-1170-1139
                http://orcid.org/0000-0001-5796-0297
                http://orcid.org/0000-0002-5850-8777
                http://orcid.org/0000-0002-5687-0772
                Article
                203
                10.1186/s40309-022-00203-9
                9243981
                ebba2fae-ba88-4ada-8fb0-a003321fd0f6
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 February 2022
                : 6 June 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100007601, Horizon 2020;
                Award ID: 817683
                Funded by: Fraunhofer-Institut für System- und Innovationsforschung ISI (1050)
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2022

                foresight,qualitative scenarios,life cycle assessment,background system,agri-food system

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