The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Climate Impacts of Cultured Meat and Beef Cattle
Open accessAbstract
Improved greenhouse gas (GHG) emission efficiency of production has been proposed as one of the biggest potential advantages of cultured meat over conventional livestock production systems. Comparisons with beef are typically highlighted, as it is a highly emissions intensive food product. In this study we present a more rigorous comparison of the potential climate impacts of cultured meat and cattle production than has previously been made. Warming impacts are evaluated using a simple climate model that simulates the different behaviours of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), rather than relying on carbon dioxide equivalent (CO2e) metrics. We compare the temperature impact of beef cattle and cultured meat production at all times to 1000 years in the future, using four synthetic meat GHG footprints currently available in the literature and three different beef production systems studied in an earlier climate modelling paper. Cattle systems are associated with the production of all three GHGs above, including significant emissions of CH4, while cultured meat emissions are almost entirely CO2 from energy generation. Under continuous high global consumption, cultured meat results in less warming than cattle initially, but this gap narrows in the long term and in some cases cattle production causes far less warming, as CH4 emissions do not accumulate, unlike CO2. We then model a decline in meat consumption to more sustainable levels following high consumption, and show that although cattle systems generally result in greater peak warming than cultured meat, the warming effect declines and stabilises under the new emission rates of cattle systems, while the CO2 based warming from cultured meat persists and accumulates even under reduced consumption, again overtaking cattle production in some scenarios. We conclude that cultured meat is not prima facie climatically superior to cattle production; its relative impact instead depends on the availability of decarbonised energy generation and the specific production systems that are realised.
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Citations
Cites
Reducing food's environmental impacts through producers and consumers
Poore, J., & Nemecek, T. (2018) · Science · doi:10.1126/science.aaq0216 · Cited by 6,085
Environmental impacts of cultured meat production
Tuomisto, H. L., & Teixeira de Mattos, M. J. (2011) · Environmental Science & Technology · doi:10.1021/es200130u · Cited by 891
Grassland management impacts on soil carbon stocks: a new synthesis
Conant, R. T., Cerri, C. E. P., Osborne, B. B., & Paustian, K. (2017) · Ecological Applications · doi:10.1002/eap.1473 · Cited by 738
Pelletier, N., Pirog, R., & Rasmussen, R. (2010) · Agricultural Systems · doi:10.1016/j.agsy.2010.03.009 · Cited by 419
Comparing environmental impacts of beef production systems: a review of life cycle assessments
de Vries, M., van Middelaar, C. E., & de Boer, I. J. M. (2015) · Livestock Science · doi:10.1016/j.livsci.2015.06.020 · Cited by 276
Cited by
The Myth of Cultured Meat: A Review
Chriki, S., & Hocquette, J.-F. (2020) · Frontiers in Nutrition · doi:10.3389/fnut.2020.00007 · Cited by 518
The potential footprint of alternative meat adoption on corn and soybean producers
Blaustein-Rejto, D., Merener, N., & Smith, A. (2024) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2024.1400515 · Cited by 3
Metadata
- Authors
- Lynch, J., & Pierrehumbert, R.
- Venue
- Frontiers in Sustainable Food Systems
- Publisher
- Frontiers Media SA
- Published
- 2019-02-19
- Volume
- 3
- ISSN
- 2571-581X (ISSN-L)
- OpenAlex
- W2916016095
- Cited by
- 387
- References
- 5
- FWCI
- 26.64
- Type
- journal article
- Language
- en
- Open access
- gold
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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.