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dc.contributor.authorScherer, Laura
dc.contributor.authorDe Laurentiis, Valeria
dc.contributor.authorMarques, Alexandra
dc.contributor.authorMichelsen, Ottar
dc.contributor.authorAlejandre, Elizabeth Migoni
dc.contributor.authorPfister, Stephan
dc.contributor.authorRosa, Francesca
dc.contributor.authorRugani, Benedetto
dc.date.accessioned2022-06-28T10:50:08Z
dc.date.available2022-06-28T10:50:08Z
dc.date.created2022-01-13T11:23:21Z
dc.date.issued2021
dc.identifier.citationThe International Journal of Life Cycle Assessment. 2021, 26 (12), 2315-2320.en_US
dc.identifier.issn0948-3349
dc.identifier.urihttps://hdl.handle.net/11250/3001287
dc.description.abstractThere is generally a mismatch in the land use classification of life cycle inventory (LCI) databases and life cycle impact assessment (LCIA) methods. This mismatch can hinder the proper assessment of land use impacts on biodiversity. To facilitate such assessments, we matched the land use classes of two global LCIA methods to five widely used LCI databases, one LCI nomenclature, and one multi-regional input–output database. In unclear cases, we assumed the worst case. Assumptions were especially necessary for unspecified land use intensity classes. We conclude with recommendations for LCI database and LCIA method developers.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.titleLinking land use inventories to biodiversity impact assessment methodsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThis version of the article will not be available due to copyright restrictions by Springeren_US
dc.source.pagenumber2315-2320en_US
dc.source.volume26en_US
dc.source.journalThe International Journal of Life Cycle Assessmenten_US
dc.source.issue12en_US
dc.identifier.doi10.1007/s11367-021-02003-y
dc.identifier.cristin1980267
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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