Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Projected environmental benefits of replacing beef with microbial protein

Nature volume 605, pages 90–96 (2022)Cite this article

Subjects

Abstract

Ruminant meat provides valuable protein to humans, but livestock production has many negative environmental impacts, especially in terms of deforestation, greenhouse gas emissions, water use and eutrophication1. In addition to a dietary shift towards plant-based diets2, imitation products, including plant-based meat, cultured meat and fermentation-derived microbial protein (MP), have been proposed as means to reduce the externalities of livestock production3,4,5,6,7. Life cycle assessment (LCA) studies have estimated substantial environmental benefits of MP, produced in bioreactors using sugar as feedstock, especially compared to ruminant meat3,7. Here we present an analysis of MP as substitute for ruminant meat in forward-looking global land-use scenarios towards 2050. Our study complements LCA studies by estimating the environmental benefits of MP within a future socio-economic pathway. Our model projections show that substituting 20% of per-capita ruminant meat consumption with MP globally by 2050 (on a protein basis) offsets future increases in global pasture area, cutting annual deforestation and related CO2 emissions roughly in half, while also lowering methane emissions. However, further upscaling of MP, under the assumption of given consumer acceptance, results in a non-linear saturation effect on reduced deforestation and related CO2 emissions—an effect that cannot be captured with the method of static LCA.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Learn more

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Future scenarios of ruminant meat and MP as protein sources in human diets.
Fig. 2: Global land-use change between 2020 and 2050 for major land types.
Fig. 3: Global development of environmental indicators mapped to SDGs.

Data availability

The numerical scenario results, including instructions for reproduction and the analysis scripts supporting the findings of this study are available at Zenodo https://doi.org/10.5281/zenodo.5794460 under a CC-BY-4.0 licence. Source data are provided with this paper.

Code availability

The source code for MAgPIE v.4.3.4 is publicly available at https://github.com/magpiemodel and Zenodo https://doi.org/10.5281/zenodo.4730378. The model documentation is available at https://rse.pik-potsdam.de/doc/magpie/4.3.4/.

References

  1. Poore, J. & Nemecek, T. Reducing food’s environmental impacts through producers and consumers. Science 360, 987–992 (2018).

    Article  CAS  PubMed  ADS  Google Scholar 

  2. Soergel, B. et al. A sustainable development pathway for climate action within the UN 2030 Agenda. Nat. Clim. Change 11, 656–664 (2021).

    Article  ADS  Google Scholar 

  3. Hashempour-Baltork, F., Khosravi-Darani, K., Hosseini, H., Farshi, P. & Reihani, S. F. S. Mycoproteins as safe meat substitutes. J. Clean. Prod. 253, 119958 (2020).

    Article  CAS  Google Scholar 

  4. Finnigan, T. J. A. et al. Mycoprotein: the future of nutritious nonmeat protein, a symposium review. Curr. Dev. Nutr. 3, nzz021 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Stephens, N. et al. Bringing cultured meat to market: technical, socio-political, and regulatory challenges in cellular agriculture. Trends Food Sci. Technol. 78, 155–166 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Linder, T. Making the case for edible microorganisms as an integral part of a more sustainable and resilient food production system. Food Secur. 11, 265–278 (2019).

    Article  Google Scholar 

  7. Rubio, N. R., Xiang, N. & Kaplan, D. L. Plant-based and cell-based approaches to meat production. Nat. Commun. 11, 6276 (2020).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  8. Food and Agriculture Organization of the United Nations. Food and agricultural data. FAOSTAT https://www.fao.org/faostat (accessed 26 March 2021).

  9. Herrero, M. et al. Greenhouse gas mitigation potentials in the livestock sector. Nat. Clim. Change 6, 452–461 (2016).

    Article  ADS  Google Scholar 

  10. Crippa, M. et al. Food systems are responsible for a third of global anthropogenic GHG emissions. Nat. Food 2, 198–209 (2021).

    Article  CAS  Google Scholar 

  11. Steinfeld, H. & Gerber, P. Livestock production and the global environment: consume less or produce better? Proc. Natl Acad. Sci. USA 107, 18237–18238 (2010).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  12. Weindl, I. et al. Livestock and human use of land: productivity trends and dietary choices as drivers of future land and carbon dynamics. Glob. Planet. Change 159, 1–10 (2017).

    Article  ADS  Google Scholar 

  13. Heinke, J. et al. Water use in global livestock production—opportunities and constraints for increasing water productivity. Water Resour. Res. 56, e2019WR026995 (2020).

    Article  ADS  Google Scholar 

  14. Godfray, H. C. J. et al. Food security: the challenge of feeding 9 billion people. Science 327, 812–818 (2010).

    Article  CAS  PubMed  ADS  Google Scholar 

  15. Popp, A. et al. Land-use futures in the shared socio-economic pathways. Glob. Environ. Change 42, 331–345 (2017).

    Article  Google Scholar 

  16. Willett, W. et al. Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems. Lancet 393, 447–492 (2019).

    Article  PubMed  Google Scholar 

  17. Sun, Z. et al. Dietary change in high-income nations alone can lead to substantial double climate dividend. Nat. Food 3, 29–37 (2022).

    Article  CAS  Google Scholar 

  18. Fehér, A., Gazdecki, M., Véha, M., Szakály, M. & Szakály, Z. A comprehensive review of the benefits of and the barriers to the switch to a plant-based diet. Sustainability 12, 4136 (2020).

    Article  Google Scholar 

  19. Herrero, M. et al. Innovation can accelerate the transition towards a sustainable food system. Nat. Food 1, 266–272 (2020).

    Article  Google Scholar 

  20. Stephens, N. & Ellis, M. Cellular agriculture in the UK: a review. Wellcome Open Res. 5, 12 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Ciani, M. et al. Microbes: food for the future. Foods 10, 971 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Sillman, J. et al. A life cycle environmental sustainability analysis of microbial protein production via power-to-food approaches. Int. J. Life Cycle Assess. 25, 2190–2203 (2020).

    Article  CAS  Google Scholar 

  23. Järviö, N., Maljanen, N.-L., Kobayashi, Y., Ryynänen, T. & Tuomisto, H. L. An attributional life cycle assessment of microbial protein production: a case study on using hydrogen-oxidizing bacteria. Sci. Total Environ. 776, 145764 (2021).

    Article  PubMed  ADS  CAS  Google Scholar 

  24. Edwards, D. G. & Cummings, J. H. The protein quality of mycoprotein. Proc. Nutr. Soc. 69, E331 (2010).

    Article  Google Scholar 

  25. Souza Filho, P. F., Andersson, D., Ferreira, J. A. & Taherzadeh, M. J. Mycoprotein: environmental impact and health aspects. World J. Microbiol. Biotechnol. 35, 147 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Smetana, S., Mathys, A., Knoch, A. & Heinz, V. Meat alternatives: life cycle assessment of most known meat substitutes. Int. J. Life Cycle Assess. 20, 1254–1267 (2015).

    Article  CAS  Google Scholar 

  27. Alexander, P. et al. Could consumption of insects, cultured meat or imitation meat reduce global agricultural land use? Glob. Food Sec. 15, 22–32 (2017).

    Google Scholar 

  28. Pikaar, I. et al. Decoupling livestock from land use through industrial feed production pathways. Environ. Sci. Technol. 52, 7351–7359 (2018).

    Article  CAS  PubMed  ADS  Google Scholar 

  29. Lapeña, D. et al. Production and characterization of yeasts grown on media composed of spruce-derived sugars and protein hydrolysates from chicken by-products. Microb. Cell Fact. 19, 19 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Dietrich, J. P. et al. MAgPIE 4 - a modular open-source framework for modeling global land systems. Geosci. Model Dev. 12, 1299–1317 (2019).

    Article  CAS  ADS  Google Scholar 

  31. Dietrich, J. P. et al. MAgPIE - An Open Source Land-Use Modeling Framework, v.4.3.4. Zenodo https://doi.org/10.5281/zenodo.4730378 (2021).

  32. Jägermeyr, J., Pastor, A., Biemans, H. & Gerten, D. Reconciling irrigated food production with environmental flows for sustainable development goals implementation. Nat. Commun. 8, 15900 (2017).

    Article  PubMed  PubMed Central  ADS  CAS  Google Scholar 

  33. Riahi, K. et al. The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: an overview. Glob. Environ. Change 42, 153–168 (2017).

    Article  Google Scholar 

  34. Humpenöder, F. et al. Large-scale bioenergy production: how to resolve sustainability trade-offs? Environ. Res. Lett. 13, 024011 (2018).

    Article  ADS  CAS  Google Scholar 

  35. Mattick, C. S., Landis, A. E., Allenby, B. R. & Genovese, N. J. Anticipatory life cycle analysis of in vitro biomass cultivation for cultured meat production in the United States. Environ. Sci. Technol. 49, 11941–11949 (2015).

    Article  CAS  PubMed  ADS  Google Scholar 

  36. Tuomisto, H. L. & Teixeira de Mattos, M. J. Environmental impacts of cultured meat production. Environ. Sci. Technol. 45, 6117–6123 (2011).

    Article  CAS  PubMed  ADS  Google Scholar 

  37. Lynch, J. & Pierrehumbert, R. Climate impacts of cultured meat and beef cattle. Front. Sustain. Food Syst. 3, 5 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Mendly-Zambo, Z., Powell, L. J. & Newman, L. L. Dairy 3.0: cellular agriculture and the future of milk. Food Cult. Soc. 24, 675–693 (2021).

    Article  Google Scholar 

  39. Järviö, N. et al. Ovalbumin production using Trichoderma reesei culture and low-carbon energy could mitigate the environmental impacts of chicken-egg-derived ovalbumin. Nat. Food 2, 1005–1013 (2021).

    Article  CAS  Google Scholar 

  40. Luderer, G. et al. Impact of declining renewable energy costs on electrification in low-emission scenarios. Nat. Energy 7, 32–42 (2022).

    Article  ADS  Google Scholar 

  41. Herrero, M., Thornton, P. K., Gerber, P. & Reid, R. S. Livestock, livelihoods and the environment: understanding the trade-offs. Curr. Opin. Environ. Sustain. 1, 111–120 (2009).

    Article  Google Scholar 

  42. Jones, M., Gandia, A., John, S. & Bismarck, A. Leather-like material biofabrication using fungi. Nat. Sustain. 4, 9–16 (2021).

    Article  Google Scholar 

  43. Rogelj, J. et al. in Special Report on Global Warming of 1.5 °C (eds Masson-Delmotte, V. et al.) (IPCC, WMO, 2018).

  44. Smith, P. et al. in Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems (IPCC, 2019).

  45. Lotze-Campen, H. et al. Global food demand, productivity growth, and the scarcity of land and water resources: a spatially explicit mathematical programming approach. Agric. Econ. 39, 325–338 (2008).

    Google Scholar 

  46. Bondeau, A. et al. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Glob. Change Biol. 13, 679–706 (2007).

    Article  ADS  Google Scholar 

  47. Müller, C. & Robertson, R. D. Projecting future crop productivity for global economic modeling. Agric. Econ. 45, 37–50 (2014).

    Article  Google Scholar 

  48. Dietrich, J. P., Popp, A. & Lotze-Campen, H. Reducing the loss of information and gaining accuracy with clustering methods in a global land-use model. Ecol. Modell. 263, 233–243 (2013).

    Article  Google Scholar 

  49. Stevanović, M. et al. Mitigation strategies for greenhouse gas emissions from agriculture and land-use change: consequences for food prices. Environ. Sci. Technol. 51, 365–374 (2017).

    Article  PubMed  ADS  CAS  Google Scholar 

  50. Popp, A., Lotze-Campen, H. & Bodirsky, B. Food consumption, diet shifts and associated non-CO2 greenhouse gases from agricultural production. Glob. Environ. Change 20, 451–462 (2010).

    Article  Google Scholar 

  51. Bodirsky, B. L. et al. Reactive nitrogen requirements to feed the world in 2050 and potential to mitigate nitrogen pollution. Nat. Commun. 5, 3858 (2014).

    Article  CAS  PubMed  ADS  Google Scholar 

  52. Bonsch, M. et al. Trade-offs between land and water requirements for large-scale bioenergy production. Glob. Change Biol. Bioenergy 8, 11–24 (2014).

    Article  Google Scholar 

  53. Smil, V. Worldwide transformation of diets, burdens of meat production and opportunities for novel food proteins. Enzyme Microb. Technol. 30, 305–311 (2002).

    Article  CAS  Google Scholar 

  54. Shepon, A., Eshel, G., Noor, E. & Milo, R. Energy and protein feed-to-food conversion efficiencies in the US and potential food security gains from dietary changes. Environ. Res. Lett. 11, 105002 (2016).

    Article  ADS  CAS  Google Scholar 

  55. Kc, S. & Lutz, W. The human core of the shared socioeconomic pathways: population scenarios by age, sex and level of education for all countries to 2100. Glob. Environ. Change 42, 181–192 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  56. Dellink, R., Chateau, J., Lanzi, E. & Magné, B. Long-term economic growth projections in the shared socioeconomic pathways. Glob. Environ. Change 42, 200–214 (2017).

    Article  Google Scholar 

  57. The World Bank. World Development Indicators. https://databank.worldbank.org/source/world-development-indicators (accessed 19 March 2019).

  58. James, S. L., Gubbins, P., Murray, C. J. & Gakidou, E. Developing a comprehensive time series of GDP per capita for 210 countries from 1950 to 2015. Popul. Health Metr. 10, 12 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  59. Bodirsky, B. L. et al. mrvalidation: madrat data preparation for validation purposes. Zenodo https://doi.org/10.5281/zenodo.4317827 (2020).

  60. Bodirsky, B. L. et al. Global food demand scenarios for the 21st century. PLoS ONE 10, e0139201 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  61. Foley, J. A. et al. Solutions for a cultivated planet. Nature 478, 337–342 (2011).

    Article  CAS  PubMed  ADS  Google Scholar 

  62. Wada, Y. et al. Global monthly water stress: 2. Water demand and severity of water stress. Water Resour. Res. 47, W07518 (2011).

    Article  ADS  Google Scholar 

  63. Wisser, D. et al. Global irrigation water demand: variability and uncertainties arising from agricultural and climate data sets. Geophys. Res. Lett. 35, L24408 (2008).

    Article  ADS  Google Scholar 

  64. Gasser, T. et al. Historical CO2 emissions from land-use and land-cover change and their uncertainty. Biogeosciences 17, 4075–4101 (2020).

    Article  CAS  ADS  Google Scholar 

  65. European Commission, Joint Research Centre/Netherlands Environmental Assessment Agency. EDGAR - Emissions Database for Global Atmospheric Research. https://edgar.jrc.ec.europa.eu (2011).

Download references

Acknowledgements

This work received funding from the European Union’s Horizon 2020 research and innovation program under grant nos. 821124 (NAVIGATE) and 821471 (ENGAGE). Further support was provided by the Global Commons Stewardship project funded by the University of Tokyo (grant no. 94104), the GreenPlantFood project funded by the Research Council of Norway (grant no. 319049) and the Food System Economics Commission funded by the Wellcome Trust (grant no. 221362/Z/20/Z) and the Rockefeller (2020 FOD 008) and IKEA Foundations (G-2009-01682).

Author information

Authors and Affiliations

  1. Potsdam Institute for Climate Impact Research, Potsdam, Germany

    Florian Humpenöder, Benjamin Leon Bodirsky, Isabelle Weindl, Hermann Lotze-Campen & Alexander Popp

  2. World Vegetable Center, Shanhua, Tainan, Taiwan

    Benjamin Leon Bodirsky

  3. Humboldt University of Berlin, Berlin, Germany

    Hermann Lotze-Campen

  4. Swedish University of Agricultural Sciences, Uppsala, Sweden

    Tomas Linder

Authors
  1. Florian Humpenöder
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Benjamin Leon Bodirsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Isabelle Weindl
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hermann Lotze-Campen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tomas Linder
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Alexander Popp
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

F.H. and A.P. designed the overall study and analysed the results. F.H. extended the MAgPIE model code with contributions from B.L.B. and I.W. F.H. performed the MAgPIE scenario modelling and created all the figures and tables. F.H. wrote the main manuscript with important contributions from A.P., H.L.-C., B.L.B., I.W. and T.L. All authors commented on the manuscript.

Corresponding author

Correspondence to Florian Humpenöder.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature thanks Rachel Lamb, Sergiy M. Smetana and Hanna Tuomisto for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data figures and tables

Extended Data Fig. 1 Socio-economic assumptions in forward-looking scenarios.

All scenarios quantified with the MAgPIE model in this study are based on the Shared Socio-economic Pathway 2 (SSP2). a) shows regional projections of population for SSP2 based on KC and Lutz55. b) shows regional projections of income for SSP2 based on Dellink et al56. Historical data for comparison from World Bank World Development Indicators (WDI)57 and James et al58. The historical data has been processed using the pik-piam/mrvalidation R package59.

Extended Data Fig. 2 Future scenarios of microbial protein as substitute for ruminant meat in human diets.

Data is shown at regional level for four MAgPIE scenarios (MP0, MP20, MP50 and MP80). a) shows per-capita consumption of ruminant meat. b) shows per-capita consumption of microbial protein. Units are in kcal/capita/day (left axis) and g protein/capita/day (right axis). Historical data for comparison from Bodirsky et al60. The historical data has been processed using the pik-piam/mrvalidation R package59.

Extended Data Fig. 3 Total demand for ruminant meat and microbial protein.

Data is shown at regional level for four MAgPIE scenarios (MP0, MP20, MP50 and MP80). a) shows total demand for ruminant meat. b) shows total demand for microbial protein. Total demand accounts for population and per-capita consumption. Historical data for comparison from FAO8. The historical data has been processed using the pik-piam/mrvalidation R package59.

Extended Data Fig. 4 Comparison of ruminant meat and dairy production.

Data is shown at global level for four MAgPIE scenarios (MP0, MP20, MP50 and MP80). a) shows ruminant meat production. b) shows dairy production. Historical data for comparison from FAO8. The historical data has been processed using the pik-piam/mrvalidation R package59.

Extended Data Fig. 5 Overview of feed and feedstock requirements.

Data is shown at global level for four MAgPIE scenarios (MP0, MP20, MP50 and MP80). a) shows feed demand for ruminant meat production from cropland and pasture. b) shows feedstock demand for microbial protein production from cropland. c) shows corresponding system-wide land-use change for cropland and pasture.

Extended Data Fig. 6 Validation of main land classes.

Data is shown at regional level for four MAgPIE scenarios (MP0, MP20, MP50 and MP80). a) shows cropland. b) shows pasture. c) shows forest. d) shows other natural land. Historical data for comparison from FAO8. The historical data has been processed using the pik-piam/mrvalidation R package59.

Extended Data Fig. 7 Regional land-use change between 2020 and 2050.

Data is shown at regional level for four MAgPIE scenarios (MP0, MP20, MP50 and MP80). Land-use change for cropland, pasture, forest and other natural land is indicated by color.

Extended Data Fig. 8 Validation of environmental indicators: deforestation and water use.

Data is shown for four MAgPIE scenarios (MP0, MP20, MP50 and MP80). a) shows deforestation at regional level. b) shows agricultural water use at global level (no regional historical data available). Historical data for comparison from FAO8, Foley et al61, Wada et al62 and Wisser et al63. The historical data has been processed using the pik-piam/mrvalidation R package59.

Extended Data Fig. 9 Validation of environmental indicators: GHG emissions and nitrogen fixation.

Data is shown at regional level for four MAgPIE scenarios (MP0, MP20, MP50 and MP80). a) shows CO2 emissions from land-use change. b) shows N2O emissions from agriculture. c) shows CH4 emissions from agriculture. d) shows nitrogen fixation. For the conversion of N2O and CH4 emissions into CO2 equivalents (right axis) we used GWP100 factors of 265 and 28, respectively. Historical data for comparison from Gasser et al64, the EDGAR emissions database version 4.265 and Bodirsky et al51. The historical data has been processed using the pik-piam/mrvalidation R package59.

Extended Data Table 1 Overview of environmental indicators assessed in this study
Full size table

Supplementary information

Source data

Rights and permissions

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Humpenöder, F., Bodirsky, B.L., Weindl, I. et al. Projected environmental benefits of replacing beef with microbial protein. Nature 605, 90–96 (2022). https://doi.org/10.1038/s41586-022-04629-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41586-022-04629-w

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing