An improved life cycle impact assessment principle for assessing the impact of land use on ecosystem services

Authors
  • B. Othoniel
  • B. Rugani
  • R. Heijungs
  • M. Beyer
  • M. Machwitz
  • P. Post
Publication date 25-11-2019
Journal Science of the Total Environment
Article number 133374
Volume | Issue number 693
Number of pages 15
Organisations
  • Faculty of Science (FNWI) - Institute for Biodiversity and Ecosystem Dynamics (IBED)
Abstract

In order to consider the effects of land use, and the land cover changes it causes, on ecosystem services in life cycle assessment (LCA), a new methodology is proposed and applied to calculate midpoint and endpoint characterization factors. To do this, a cause-effect chain was established in line with conceptual models of ecosystem services to describe the impacts of land use and related land cover changes. A high-resolution, spatially explicit and temporally dynamic modeling framework that integrates land use and ecosystem services models was developed and used as an impact characterization model to simulate that cause-effect chain. Characterization factors (CFs) were calculated and regionalized at the scales of Luxembourg and its municipalities, taken as a case to show the advantages of the modeling approach. More specifically, the calculated CFs enable the impact assessment of six land cover types on six ecosystem functions and two final ecosystem services. A mapping and comparison exercise of these CFs allowed us to identify spatial trade-offs and synergies between ecosystem services due to possible land cover changes. Ultimately, the proposed methodology can offer a solution to overcome a number of methodological limitations that still exist in the characterization of impacts on ecosystem services in LCA, implying a rethinking of the modeling of land use in life cycle inventory.

Document type Article
Note With supplementary materials
Language English
Published at https://doi.org/10.1016/j.scitotenv.2019.07.180
Other links https://www.scopus.com/pages/publications/85069897375
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