Life cycle assessment needs predictive spatial modelling for biodiversity and ecosystem services

Rebecca E Chaplin-Kramer, Sarah Sim, Perrine Hamel, Benjamin Bryant, Ryan Noe, Carina Mueller, Giles Rigarlsford, Michal Kulak, Virginia Kowal, Richard Sharp, Julie Clavreul, Edward Price, Stephen Polasky, Mary Ruckelshaus, Gretchen Daily

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

International corporations in an increasingly globalized economy exert a major influence on the planet's land use and resources through their product design and material sourcing decisions. Many companies use life cycle assessment (LCA) to evaluate their sustainability, yet commonly-used LCA methodologies lack the spatial resolution and predictive ecological information to reveal key impacts on climate, water and biodiversity. We present advances for LCA that integrate spatially explicit modelling of land change and ecosystem services in a Land-Use Change Improved (LUCI)-LCA. Comparing increased demand for bioplastics derived from two alternative feedstock-location scenarios for maize and sugarcane, we find that the LUCI-LCA approach yields results opposite to those of standard LCA for greenhouse gas emissions and water consumption, and of different magnitudes for soil erosion and biodiversity. This approach highlights the importance of including information about where and how land-use change and related impacts will occur in supply chain and innovation decisions.

Original languageEnglish (US)
Article number15065
JournalNature communications
Volume8
DOIs
StatePublished - 2017

Bibliographical note

Funding Information:
We thank Henry King and Jim Leape for valuable comments and perspectives on the approaches developed here. Louis Lindenberg provided guidance on the production scenarios for the case study. The work was funded by grants from Unilever Research and Development, and the Gordon & Betty Moore Foundation.

Publisher Copyright:
© The Author(s) 2017.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Fingerprint Dive into the research topics of 'Life cycle assessment needs predictive spatial modelling for biodiversity and ecosystem services'. Together they form a unique fingerprint.

Cite this