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Cited by 398

The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.

The battle for biomass: A systematic review of food-feed-fuel competition

Open access
Muscat, A., de Olde, E.M., de Boer, I.J.M., Ripoll-Bosch, R.·2020·Global Food Security

Abstract

We review 75 studies on the competition for biomass and production resources such as land, water, labour and capital across food, feed and fuel production. We identified seven factors that are key to the availability and effective use of biomass and production resources. These ranged from ones related to production, such as crop yields to ones related to policy. Many of these factors resulted in trade-offs across different uses of biomass. Studies had different perspectives (e.g. economic, biophysical) on setting priorities for biomass and suggested different solutions to address competition (e.g. marginal lands). To connect these perspectives we suggest a framework that prioritises biomass and production resources for the use of human food before its use as feed or bioenergy.

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Metadata

Authors
Muscat, A., de Olde, E. M., de Boer, I. J. M., & Ripoll-Bosch, R.
Venue
Global Food Security
Publisher
Elsevier BV
Published
2020-06
Volume
25
Pages
100330
ISSN
2211-9124 (ISSN-L)
OpenAlex
W2982389892
Cited by
398
References
113
FWCI
7.70
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The battle for biomass: A systematic review of food-feed-fuel competition. https://app.cochat.ai/papers/10.1016/j.gfs.2019.100330
The paper
Muscat, A., de Olde, E. M., de Boer, I. J. M., & Ripoll-Bosch, R. (2020). The battle for biomass: A systematic review of food-feed-fuel competition. Global Food Security. https://doi.org/10.1016/j.gfs.2019.100330

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.