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Income growth and climate change effects on global nutrition security to mid-century

Nature Sustainability volume 1, pages 773–781 (2018)Cite this article

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Abstract

Twenty-first-century challenges for food and nutrition security include the spread of obesity worldwide and persistent undernutrition in vulnerable populations, along with continued micronutrient deficiencies. Climate change, increasing incomes and evolving diets complicate the search for sustainable solutions. Projecting to the year 2050, we explore future macronutrient and micronutrient adequacy with combined biophysical and socioeconomic scenarios that are country-specific. In all scenarios for 2050, the average benefits of widely shared economic growth, if achieved, are much greater than the modelled negative effects of climate change. Average macronutrient availability in 2050 at the country level appears adequate in all but the poorest countries. Many regions, however, will continue to have critical micronutrient inadequacies. Climate change alters micronutrient availability in some regions more than others. These findings indicate that the greatest food security challenge in 2050 will be providing nutritious diets rather than adequate calories. Research priorities and policies should emphasize nutritional quality by increasing availability and affordability of nutrient-dense foods and improving dietary diversity.

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Fig. 1: Socioeconomic and climate change effects on food budget share of per capita income.
Fig. 2: AMDR high and low ratios.
Fig. 3: Country-specific adequacy ratios for selected nutrients, 2010.
Fig. 4: Income-based changes in adequacy ratios, 2010–2050.
Fig. 5: Climate change-based changes in adequacy ratios for selected nutrients in 2050.

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Data availability

The data and code used for this analysis are available for download at https://github.com/GeraldCNelson/nutrientModeling. The software code is open source under the GNU General Public License, version 3 or higher. Country-specific modelling results and more detailed information on modelling are available for download at http://impactnutrients.ifpri.org/nutrientModeling/. The corresponding author is prepared to respond to reasonable requests for code, data and results queries.

References

  1. Nelson, G. C. et al. Climate change effects on agriculture: economic responses to biophysical shocks. Proc. Natl Acad. Sci. USA 111, 3274–3279 (2014).

    Article  CAS  Google Scholar 

  2. Wiebe, K. et al. Climate change impacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios. Environ. Res. Lett. 10, 085010 (2015).

    Article  Google Scholar 

  3. Tilman, D. & Clark, M. Global diets link environmental sustainability and human health. Nature 515, 518–522 (2014).

    Article  CAS  Google Scholar 

  4. Springmann, M. et al. Global and regional health effects of future food production under climate change: a modelling study. Lancet 387, 1937–1946 (2016).

    Article  Google Scholar 

  5. Hertel, T. W. Food security under climate change. Nat. Clim. Change 6, 10–13 (2015).

    Article  Google Scholar 

  6. Medek, D. E., Schwartz, J. & Myers, S. S. Estimated effects of future atmospheric CO2 concentrations on protein intake and the risk of protein deficiency by country and region. Environ. Health Perspect. https://doi.org/10.1289/EHP41 (2017).

  7. Myers, S. S. et al. Increasing CO2 threatens human nutrition. Nature 510, 139–142 (2014).

    Article  CAS  Google Scholar 

  8. Myers, S. S., Wessells, K. R., Kloog, I., Zanobetti, A. & Schwartz, J. Effect of increased concentrations of atmospheric carbon dioxide on the global threat of zinc deficiency: a modelling study. Lancet Glob. Health 3, e639–e645 (2015).

    Article  Google Scholar 

  9. Smith, M. R., Golden, C. D. & Myers, S. S. Potential rise in iron deficiency due to future anthropogenic carbon dioxide emissions. GeoHealth 1, 248–257 (2017).

    Article  Google Scholar 

  10. Smith, M. R. & Myers, S. S. Impact of anthropogenic CO2 emissions on global human nutrition. Nat. Clim. Change 8, 834–839 (2018).

    Article  CAS  Google Scholar 

  11. Moss, R. H. et al. The next generation of scenarios for climate change research and assessment. Nature 463, 747–756 (2010).

    Article  CAS  Google Scholar 

  12. Jones, C. D. et al. The HadGEM2-ES implementation of CMIP5 centennial simulations. Geosci. Model Dev. 4, 543–570 (2011).

    Article  Google Scholar 

  13. Bennett, M. K. Wheat in national diets. Wheat Stud. 18, 37–76 (1941).

    Google Scholar 

  14. Palacios, C. & Gonzalez, L. Is vitamin D deficiency a major global public health problem?. J. Steroid Biochem. Mol. Biol. 144, 138–145 (2014).

    Article  CAS  Google Scholar 

  15. Fern, E. B., Watzke, H., Barclay, D. V., Roulin, A. & Drewnowski, A. The Nutrient Balance Concept: a new quality metric for composite meals and eiets. PLoS ONE 10, e0130491 (2015).

    Article  Google Scholar 

  16. Popkin, B. M. & Gordon-Larsen, P. The nutrition transition: worldwide obesity dynamics and their determinants. Int. J. Obes. 28, S2–S9 (2004).

    Article  Google Scholar 

  17. Nelson, G. C. et al. Food Security and Climate Change: Challenges to 2050 and Beyond (IFPRI, 2010).

  18. Deutsch, C. A. et al. Increase in crop losses to insect pests in a warming climate. Science 361, 916–919 (2018).

  19. Kimball, B. A. et al. Elevated CO2, drought and soil nitrogen effects on wheat grain quality. New Phytol. 150, 295–303 (2001).

    Article  CAS  Google Scholar 

  20. Loladze, I. Hidden shift of the ionome of plants exposed to elevated CO2 depletes minerals at the base of human nutrition. eLife https://doi.org/10.7554/eLife.02245 (2014).

  21. Kjellstrom, T. et al. Heat, human performance, and occupational health: a key issue for the assessment of global climate change impacts. Annu. Rev. Public Health 37, 97–112 (2016).

    Article  Google Scholar 

  22. Herrero, M. & Thornton, P. K. Livestock and global change: emerging issues for sustainable food systems. Proc. Natl Acad. Sci. USA 110, 20878–20881 (2013).

    Article  CAS  Google Scholar 

  23. Robinson, S. et al. The International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model Description for Version 3 (IFPRI, 2015).

  24. Andersen, L. E. et al. Climate Change Impacts: Prospects for 2050 in Brazil, Mexico, and Peru https://doi.org/10.2499/9780896295810 (2016).

  25. Rao, N. D., van Ruijven, B. J., Riahi, K. & Bosetti, V. Improving poverty and inequality modelling in climate research. Nat. Clim. Change 7, 857–862 (2017).

    Article  Google Scholar 

  26. van Ruijven, B. J., O’Neill, B. C. & Chateau, J. Methods for including income distribution in global CGE models for long-term climate change research. Energy Econ. 51, 530–543 (2015).

    Article  Google Scholar 

  27. Colombo, G. Linking CGE and microsimulation models: a comparison of different approaches. Int. J. Microsimulation 3, 72–91 (2010).

    Google Scholar 

  28. Willenbockel, D. et al. Dynamic Computable General Equilibrium Simulations in Support of Quantitative Foresight Modeling to Inform the CGIAR Research Portfolio: Linking the IMPACT and GLOBE Models (IFPRI, 2018).

  29. Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.6 (DSSAT, 2015).

  30. Long, S. P., Ainsworth, E. A., Leakey, A. D. B., Nosberger, J. & Ort, D. R. Food for thought: lower-than-expected crop yield stimulation with rising CO2 concentrations. Science 312, 1918–1921 (2006).

  31. Zavala, J. A., Casteel, C. L., DeLucia, E. H. & Berenbaum, M. R. Anthropogenic increase in carbon dioxide compromises plant defense against invasive insects. Proc. Natl Acad. Sci. USA 105, 5129–5133 (2008).

    Article  CAS  Google Scholar 

  32. Bloom, A. J., Burger, M., Kimball, B. A. & Pinter, P. J. Jr. Nitrate assimilation is inhibited by elevated CO2 in field-grown wheat. Nat. Clim. Change 4, 477–480 (2014).

    Article  CAS  Google Scholar 

  33. Jones, A. G., Scullion, J., Ostle, N., Levy, P. E. & Gwynn-Jones, D. Completing the FACE of elevated CO2 research. Environ. Int. 73, 252–258 (2014).

    Article  CAS  Google Scholar 

  34. USDA Table of Nutrient Retention Factors, Release 6 (USDA, 2007).

  35. Composition of Foods Raw, Processed, Prepared: USDA National Nutrient Database for Standard Reference, Release 28 (USDA, 2015).

  36. Dufresne, J.-L. et al. Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5. Clim. Dyn. 40, 2123–2165 (2013).

    Article  Google Scholar 

  37. Dunne, J. P. et al. GFDL’s ESM2 global coupled climate–carbon Earth System Models. Part I: Physical formulation and baseline simulation characteristics. J. Clim. 25, 6646–6665 (2012).

    Article  Google Scholar 

  38. Wiebe, K. et al. Climate change impacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios. Environ. Res. Lett. 10, 85010 (2015).

    Article  Google Scholar 

  39. Von Lampe, M. et al. Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison. Agric. Econ. 45, 3–20 (2014).

    Article  Google Scholar 

  40. Forster, P. M. et al. Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models. J. Geophys. Res. Atmos. 118, 1139–1150 (2013).

    Article  Google Scholar 

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Acknowledgements

The authors thank their respective institutions for support. CSIRO authors acknowledge funding from the CSIRO Science Leaders Programme, the CGIAR Research Programme on Climate Change Agriculture and Food Security (grant no. 20140604, CCAFS CSIRO Sustainable diets) and the Bill and Melinda Gates Foundation (grant no. OPP1134229). IFPRI authors acknowledge the financial support of the CGIAR Research Program on Policies, Institutions and Markets (PIM), Agriculture for Nutrition and Health (A4NH) and CCAFS. K.L. acknowledges financial support from HarvestPlus. J.A. acknowledges the World Food Center at UC Davis for providing initial support for her involvement in this effort. D.G. acknowledges the financial contributions provided by the ILSI Research Foundation and related partners for its initial support of his participation. The authors also thank J. W. Jones for suggesting the methodological approach used here, E. Fern for guidance in the use of the nutrient balance score, S. Wood for insights into choice of diversity metrics, Z. Li for R code for Rao’s quadratic entropy measure and A. Bunning and L. Unnevehr for helpful comments on earlier drafts. Any errors are the responsibility of the authors.

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Authors and Affiliations

  1. University of Illinois, Urbana–Champaign, Champaign, IL, USA

    Gerald Nelson

  2. Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia

    Jessica Bogard, Daniel Mason-D’Croz, Brendan Power & Mario Herrero

  3. International Food Policy Research Institute, Washington DC, USA

    Keith Lividini, Timothy B. Sulser, Keith Wiebe & Mark Rosegrant

  4. Program in International and Community Nutrition, Department of Nutrition, University of California, Davis, CA, USA

    Joanne Arsenault

  5. Commonwealth Scientific and Industrial Research Organisation, Health and Biosecurity, Adelaide, South Australia, Australia

    Malcolm Riley

  6. Independent Scientist, St Louis, MO, USA

    David Gustafson

  7. Nestlé Research Centre, Vers-chez-les-Blancs, Lausanne, Switzerland

    Karen Cooper

  8. Bioversity International, Heverlee, Belgium

    Roseline Remans

  9. Wageningen University, Wageningen, The Netherlands

    Roseline Remans

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Contributions

G.N. is corresponding author. G.N., M.H., D.G. and K.W. conceived and planned the paper. G.N., J.B., and K.L. wrote the paper with edits from all authors. J.B., K.L., J.A., M.R. and K.C. were responsible for data selection and manipulation for the nutrient content and interpretation of nutrient results. T.S., D.M., K.W. and M.R. were responsible for development and implementation of the socioeconomic modelling, including links to climate model outputs. D.G., K.C. and R.R. were responsible for metric choice and details of implementation. G.N. and B.P. developed the R code used to produce the results. All authors provided ongoing comments and edits from initial inception to delivery of final version.

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Correspondence to Gerald Nelson.

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The authors declare that they have no competing financial or nonfinancial interests.

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Supplementary Figs. 1–17, Supplementary Tables 1–7, Supplementary references 1–60.

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Nelson, G., Bogard, J., Lividini, K. et al. Income growth and climate change effects on global nutrition security to mid-century. Nat Sustain 1, 773–781 (2018). https://doi.org/10.1038/s41893-018-0192-z

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