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Cited by 394

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Towards better representation of organic agriculture in life cycle assessment

Open access
van der Werf, Hayo M. G., Knudsen, Marie Trydeman, Cederberg, Christel·2020·Nature Sustainability

Abstract

The environmental effects of agriculture and food are much discussed, with competing claims concerning the impacts of conventional and organic farming. Life cycle assessment (LCA) is the method most widely used to assess environmental impacts of agricultural products. Current LCA methodology and studies tend to favour high-input intensive agricultural systems and misrepresent less intensive agroecological systems such as organic agriculture. LCA assesses agroecological systems inadequately for three reasons: (1) a lack of operational indicators for three key environmental issues; (2) a narrow perspective on functions of agricultural systems; and (3) inconsistent modelling of indirect effects. Transitioning agriculture toward greater sustainability is vital. This Perspective argues for more-holistic consideration of organic agriculture in life cycle assessments, widely used to analyse environmental impacts.

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Metadata

Authors
van der Werf, H. M. G., Knudsen, M. T., & Cederberg, C.
Venue
Nature Sustainability
Published
2020-03-16
Volume
3
Issue
6
Pages
419-425
ISSN
2398-9629 (ISSN-L)
OpenAlex
W3011831013
Cited by
394
References
55
FWCI
15.39
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Towards better representation of organic agriculture in life cycle assessment. https://app.cochat.ai/papers/10.1038/s41893-020-0489-6
The paper
van der Werf, H. M. G., Knudsen, M. T., & Cederberg, C. (2020). Towards better representation of organic agriculture in life cycle assessment. Nature Sustainability. https://doi.org/10.1038/s41893-020-0489-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.