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An M. De Schryver
Researcher at ETH Zurich
Publications - 9
Citations - 1189
An M. De Schryver is an academic researcher from ETH Zurich. The author has contributed to research in topics: Species richness & Impact assessment. The author has an hindex of 7, co-authored 9 publications receiving 1062 citations. Previous affiliations of An M. De Schryver include Radboud University Nijmegen & École Polytechnique Fédérale de Lausanne.
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Journal ArticleDOI
Identifying best existing practice for characterization modeling in life cycle impact assessment
Michael Zwicky Hauschild,Mark Goedkoop,Jeroen B. Guinée,Reinout Heijungs,Mark A. J. Huijbregts,Olivier Jolliet,Olivier Jolliet,Manuele Margni,Manuele Margni,An M. De Schryver,Sebastien Humbert,Alexis Laurent,Serenella Sala,Rana Pant +13 more
TL;DR: In this article, the authors performed a study for the Joint Research Centre of the European Commission (JRC) to identify the best among existing characterization models and provide recommendations to the LCA practitioner.
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Toward meaningful end points of biodiversity in life cycle assessment.
Michael Curran,Laura de Baan,An M. De Schryver,Rosalie van Zelm,Stefanie Hellweg,Thomas Koellner,Guido Sonnemann,Mark A. J. Huijbregts +7 more
TL;DR: There are serious conceptual shortcomings in the way models are constructed, with scale considerations largely absent, and there is a disproportionate focus on indicators that reflect changes in compositional aspects of biodiversity, mainly changes in species richness.
Journal ArticleDOI
Characterization Factors for Global Warming in Life Cycle Assessment Based on Damages to Humans and Ecosystems
TL;DR: New characterization factors for 63 GHGs are derived that quantify the impact of an emission change on human and ecosystem health damage and stresses the importance of dealing with value choices in the life cycle impact assessment of GHG emissions.
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Uncertainties in the application of the species area relationship for characterisation factors of land occupation in life cycle assessment
TL;DR: In this paper, the influence of various key assumptions and uncertainties within the development of characterisation factors (CFs) for land use in life cycle assessment (LCA) is analyzed.