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dc.contributor.authorVerones, Francesca
dc.contributor.authorBare, Jane
dc.contributor.authorBulle, Cecile
dc.contributor.authorFrischknecht, Rolf
dc.contributor.authorHauschild, Michael
dc.contributor.authorHellweg, Stefanie
dc.contributor.authorHenderson, Andrew
dc.contributor.authorJolliet, Olivier
dc.contributor.authorLaurent, Alexis
dc.contributor.authorLiao, Xun
dc.contributor.authorLindner, Jan Paul
dc.contributor.authorMaia de Souza, Danielle
dc.contributor.authorMichelsen, Ottar
dc.contributor.authorPatouillard, Laure
dc.contributor.authorPfister, Stephan
dc.contributor.authorPosthuma, Leo
dc.contributor.authorPrado, Valentina
dc.contributor.authorRidoutt, Bradley G.
dc.contributor.authorRosenbaum, Ralph K
dc.contributor.authorSala, Serenella
dc.contributor.authorUgaya, Cassia
dc.contributor.authorVieira, Marisa
dc.contributor.authorFantke, Peter
dc.date.accessioned2018-05-08T08:21:16Z
dc.date.available2018-05-08T08:21:16Z
dc.date.created2017-06-10T10:15:18Z
dc.date.issued2017
dc.identifier.citationJournal of Cleaner Production. 2017, 161, 957-967.nb_NO
dc.identifier.issn0959-6526
dc.identifier.urihttp://hdl.handle.net/11250/2497485
dc.description.abstractIncreasing needs for decision support and advances in scientific knowledge within life cycle assessment (LCA) led to substantial efforts to provide global guidance on environmental life cycle impact assessment (LCIA) indicators under the auspices of the UNEP-SETAC Life Cycle Initiative. As part of these efforts, a dedicated task force focused on addressing several LCIA cross-cutting issues as aspects spanning several impact categories, including spatiotemporal aspects, reference states, normalization and weighting, and uncertainty assessment. Here, findings of the cross-cutting issues task force are presented along with an update of the existing UNEP-SETAC LCIA emission-to-damage framework. Specific recommendations are provided with respect to metrics for human health (Disability Adjusted Life Years, DALY) and ecosystem quality (Potentially Disappeared Fraction of species, PDF). Additionally, we stress the importance of transparent reporting of characterization models, reference states, and assumptions, in order to facilitate cross-comparison between chosen methods and indicators. We recommend developing spatially regionalized characterization models, whenever the nature of impacts shows spatial variability and related spatial data are available. Standard formats should be used for reporting spatially differentiated models, and choices regarding spatiotemporal scales should be clearly communicated. For normalization, we recommend using external normalization references. Over the next two years, the task force will continue its effort with a focus on providing guidance for LCA practitioners on how to use the UNEP-SETAC LCIA framework as well as for method developers on how to consistently extend and further improve this framework.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleLCIA framework and cross-cutting issues guidance within the UNEP-SETAC Life Cycle Initiativenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber957-967nb_NO
dc.source.volume161nb_NO
dc.source.journalJournal of Cleaner Productionnb_NO
dc.identifier.doi10.1016/j.jclepro.2017.05.206
dc.identifier.cristin1475074
dc.description.localcode© 2017 Elsevier Ltd. All rights reserved. This is the authors' accepted and refereed manuscript to the article, locked until 3 June 2019 due to copyright restrictions.nb_NO
cristin.unitcode194,64,25,0
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for energi- og prosessteknikk
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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