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Carbon emissions due to deforestation for the production of charcoal used in Brazil’s steel industry

Nature Climate Change volume 5, pages 359363 (2015) | Download Citation

Abstract

Steel produced using coal generates 7% of global anthropogenic CO2 emissions annually1. Opportunities exist to substitute this coal with carbon-neutral charcoal sourced from plantation forests to mitigate project-scale emissions2 and obtain certified emission reduction credits under the Kyoto Protocol’s Clean Development Mechanism3. This mitigation strategy has been implemented in Brazil4,5 and is one mechanism among many used globally to reduce anthropogenic CO2 emissions6; however, its potential adverse impacts have been overlooked to date. Here, we report that total CO2 emitted from Brazilian steel production doubled (91 to 182 MtCO2) and specific emissions increased (3.3 to 5.2 MtCO2 per Mt steel) between 2000 and 2007, even though the proportion of coal used declined. Infrastructure upgrades and a national plantation shortage increased industry reliance on charcoal sourced from native forests, which emits up to nine times more CO2 per tonne of steel than coal. Preventing use of native forest charcoal could have avoided 79% of the CO2 emitted from steel production between 2000 and 2007; however, doing so by increasing plantation charcoal supply is limited by socio-economic costs and risks further indirect deforestation pressures and emissions. Effective climate change mitigation in Brazil’s steel industry must therefore minimize all direct and indirect carbon emissions generated from steel manufacture.

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References

  1. 1.

    & International comparison of CO2 emission trends in the iron and steel industry. Energy Policy 30, 827–838 (2002).

  2. 2.

    Global warming response options in Brazil’s forest sector: Comparison of project-level costs and benefits. Biomass Bioenergy 8, 309–322 (1995).

  3. 3.

    Kyoto Protocol to the UN Framework Convention on Climate Change (United Nations, 1997).

  4. 4.

    Project 7577: Use of Charcoal from Renewable Biomass Plantations as Reducing Agent in Pig Iron Mill in Brazil (UNFCCC, 2012).

  5. 5.

    Project 2569: Reforestation as Renewable Source of Wood Supplies for Industrial Use in Brazil (UNFCCC, 2009).

  6. 6.

    in Climate Change 2014: Mitigation of Climate Change (eds Edenhofer, O. et al.) (Cambridge Univ. Press, 2014).

  7. 7.

    CO2 Abatement in the Iron and Steel Industry (International Energy Agency, 2012).

  8. 8.

    , , & A global assessment of manufacturing: Economic development, energy use, carbon emissions, and the potential for energy efficiency and materials recycling. Annu. Rev. Environ. Resour. 38, 81–106 (2013).

  9. 9.

    Steel’s Contribution to a Low Carbon Future (World Steel Association, 2013)

  10. 10.

    Approved Baseline and Monitoring Methodology AM0082: Use of Charcoal from Planted Renewable Biomass in the Iron Ore Reduction Process (UNFCCC, 2009).

  11. 11.

    et al. Use of US croplands for biofuels increases greenhouse gases through emissions from land-use change. Science 319, 1238–1240 (2008).

  12. 12.

    et al. Indirect land-use changes can overcome carbon savings from biofuels in Brazil. Proc. Natl Acad. Sci. USA 107, 3388–3393 (2010).

  13. 13.

    Anuário estatístico 2008 (Associação Mineira da Silvicultura, 2009)

  14. 14.

    Produção da Extração Vegetal e da Silvicultura (Instituto Brasileiro de Geografia e Estatística, 2012)

  15. 15.

    , , & LCA of eucalyptus wood charcoal briquettes. J. Cleaner Prod. 19, 1647–1653 (2011).

  16. 16.

    Simple Technologies for Charcoal Making FAO Forestry Paper (FAO, 1987)

  17. 17.

    Minerals Yearbook (Geological Survey, 2000–2010).

  18. 18.

    , , & Assessing land availability to produce biomass for energy: The case of Brazilian charcoal for steel making. Biomass Bioenergy 33, 180–190 (2009).

  19. 19.

    et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Clim. Change 2, 182–185 (2012).

  20. 20.

    et al. Emissions of greenhouse gases and other airborne pollutants from charcoal making in Kenya and Brazil. J. Geophys. Res. 106, 24143–24155 (2001).

  21. 21.

    , , & Global demand for steel drives extensive land-use change in Brazil’s Iron Quadrangle. Glob. Environ. Change 26, 63–72 (2014).

  22. 22.

    et al. Cracking Brazil’s forest code. Science 344, 363–364 (2014).

  23. 23.

    Annual Statistics of ABRAF 2011 Vol. 130 (Associação Brasileira de Produtos de Florestas Plantadas, 2011)

  24. 24.

    Alterações na Lei Florestal garantem proteção às matas do Estado (Secretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável, 2009)

  25. 25.

    , & Offsetting the impacts of mining to achieve no-net-loss to biodiversity. Conserv. Biol. 28, 1068–1076 (2014).

  26. 26.

    , & Prospects for land-use sustainability on the agricultural frontier of the Brazilian Amazon. Phil. Trans. R. Soc. B. 368, 20120171 (2013).

  27. 27.

    , & Dynamics of indirect land-use change: Empirical evidence from Brazil. J. Environ. Econ. Manage. 65, 377–393 (2013).

  28. 28.

    China, People’s Republic of: Coal and Peat for 2010 (International Energy Agency, 2014)

  29. 29.

    Global Forest Land-Use Change 1990–2005 (Food and Agriculture Organization of the United Nations and European Commission Joint Research Centre, 2012)

  30. 30.

    Yearbook 2013 (Brazil Steel Institute, 2013).

Download references

Acknowledgements

Valuable contributions to the manuscript were made by J. Canadell and N. McIntyre. L.J.S. received funding from the National Climate Change Adaptation Research Facility, The University of Queensland and the Australian Government (APA scholarship). B.S.S-F. received funding from the Climate and Land Use Alliance, Programa das Nações Unidas para o Meio Ambiente/Global Environment Facility, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, and Conselho Nacional de Desenvolvimento Científico.

Author information

Affiliations

  1. The University of Queensland, Centre for Water in the Minerals Industry, Sustainable Minerals Institute, St Lucia, Brisbane, Queensland 4072, Australia

    • Laura J. Sonter
    •  & Damian J. Barrett
  2. University of Vermont, The Gund Institute for Ecological Economics and The Rubenstein School of Environment and Natural Resources, Burlington, Vermont 05405, USA

    • Laura J. Sonter
  3. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Energy Flagship, Black Mountain Laboratories, Canberra, Australian Capital Territory 2601, Australia

    • Damian J. Barrett
  4. The University of Queensland, Sustainable Minerals Institute, St Lucia, Brisbane, Queensland 4072, Australia

    • Chris J. Moran
  5. Universidade Federal de Minas Gerais, Centro de Sensoriamento Remoto, Belo Horizonte, Minas Gerias 31270–901, Brazil

    • Britaldo S. Soares-Filho

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Contributions

L.J.S. designed the project and conducted the analysis. All authors analysed results and co-wrote the paper.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Laura J. Sonter.

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DOI

https://doi.org/10.1038/nclimate2515

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