A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for expertsZenodo
The accelerating loss of biodiversity and ongoing ecosystem degradation rank among the most pressing global challenges today. Life Cycle Assessment (LCA) has emerged as a pivotal tool for evaluating the environmental sustainability of production systems; however, the integration of biodiversity impa...
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| Language: | English |
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Elsevier
2025-06-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925002288 |
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| author | Julian Quandt Jan Paul Lindner Nico Mumm |
| author_facet | Julian Quandt Jan Paul Lindner Nico Mumm |
| author_sort | Julian Quandt |
| collection | DOAJ |
| description | The accelerating loss of biodiversity and ongoing ecosystem degradation rank among the most pressing global challenges today. Life Cycle Assessment (LCA) has emerged as a pivotal tool for evaluating the environmental sustainability of production systems; however, the integration of biodiversity impact assessments into LCA studies remains constrained by significant data gaps, limited spatial resolution, and methodological complexity. This dataset addresses these challenges by providing and integrating ready-to-use characterization factors for biodiversity impact assessment in current LCA software packages.Characterization factors (CF) were calculated for land occupation flows of three LCA databases (Agribalyse 3.1.1, Ecoinvent 3.10, and Sphera LCA For Experts) following the Biodiversity Value Increment (BVI) method. The CF are applicable at global and country level, considering both land-use intensity and location. The integration into current LCA Software packages (OpenLCA 2.1.0 and Sphera LCA For Experts), enhances accessibility for LCA practitioners, supporting more comprehensive evaluations especially in terms of biodiversity impact assessments. |
| format | Article |
| id | doaj-art-e8f42221b90f4ec4822b56109d9cf5c4 |
| institution | OA Journals |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-e8f42221b90f4ec4822b56109d9cf5c42025-08-20T02:05:36ZengElsevierData in Brief2352-34092025-06-016011149610.1016/j.dib.2025.111496A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for expertsZenodoJulian Quandt0Jan Paul Lindner1Nico Mumm2Institute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, Augsburg 86159, Germany; corsus – Corporate Sustainability GmbH, Großneumarkt 50, Hamburg 20459, Germany; corsus research gUG, Großneumarkt 50, Hamburg 20459, GermanyInstitute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, Augsburg 86159, Germany; Corresponding author.Institute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, Augsburg 86159, Germany; corsus – Corporate Sustainability GmbH, Großneumarkt 50, Hamburg 20459, GermanyThe accelerating loss of biodiversity and ongoing ecosystem degradation rank among the most pressing global challenges today. Life Cycle Assessment (LCA) has emerged as a pivotal tool for evaluating the environmental sustainability of production systems; however, the integration of biodiversity impact assessments into LCA studies remains constrained by significant data gaps, limited spatial resolution, and methodological complexity. This dataset addresses these challenges by providing and integrating ready-to-use characterization factors for biodiversity impact assessment in current LCA software packages.Characterization factors (CF) were calculated for land occupation flows of three LCA databases (Agribalyse 3.1.1, Ecoinvent 3.10, and Sphera LCA For Experts) following the Biodiversity Value Increment (BVI) method. The CF are applicable at global and country level, considering both land-use intensity and location. The integration into current LCA Software packages (OpenLCA 2.1.0 and Sphera LCA For Experts), enhances accessibility for LCA practitioners, supporting more comprehensive evaluations especially in terms of biodiversity impact assessments.http://www.sciencedirect.com/science/article/pii/S2352340925002288Life cycle impact assessmentLife cycle assessmentEnvironmental sustainability assessmentLCA software |
| spellingShingle | Julian Quandt Jan Paul Lindner Nico Mumm A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for expertsZenodo Data in Brief Life cycle impact assessment Life cycle assessment Environmental sustainability assessment LCA software |
| title | A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for expertsZenodo |
| title_full | A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for expertsZenodo |
| title_fullStr | A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for expertsZenodo |
| title_full_unstemmed | A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for expertsZenodo |
| title_short | A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for expertsZenodo |
| title_sort | dataset of characterization factors for biodiversity impact assessment in openlca and lca for expertszenodo |
| topic | Life cycle impact assessment Life cycle assessment Environmental sustainability assessment LCA software |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925002288 |
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