Extreme climate events increase risk of global food insecurity and adaptation needs (original) (raw)

References

  1. Handmer, J. et al. in Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, (eds Field, C. B. et al.) 231–290 (Cambridge Univ. Press, 2012).
  2. Tao, F. & Zhang, Z. Climate change, high-temperature stress, rice productivity, and water use in eastern China: a new superensemble-based probabilistic projection. J. Appl. Meteorol. Climatol. 52, 531–551 (2013).
    Article ADS Google Scholar
  3. Challinor, A. J., Simelton, E. S., Fraser, E. D. G., Hemming, D. & Collins, M. Increased crop failure due to climate change: assessing adaptation options using models and socio-economic data for wheat in China. Environ. Res. Lett. 5, 034012 (2010).
    Article ADS Google Scholar
  4. Urban, D., Roberts, M. J., Schlenker, W. & Lobell, D. B. Projected temperature changes indicate significant increase in interannual variability of US maize yields. Clim. Change 112, 525–533 (2012).
    Article ADS Google Scholar
  5. Müller, C. & Robertson, R. D. Projecting future crop productivity for global economic modeling. Agric. Econ. 45, 37–50 (2014).
    Article Google Scholar
  6. 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 ADS CAS PubMed Google Scholar
  7. Rosenzweig, C. & Parry, M. L. Potential impact of climate change on world food supply. Nature 367, 133–138 (1994).
    Article ADS Google Scholar
  8. Fischer, G., Shah, M., N. Tubiello, F. & van Velhuizen, H. Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990–2080. Philos. Trans. R. Soc. B Biol. Sci. 360, 2067–2083 (2005).
    Article Google Scholar
  9. Nelson, G. C. et al. Food Security, Farming, and Climate Change to 2050, Scenarios, Results, Policy Options (IFPRI, 2010).
    Google Scholar
  10. Hasegawa, T. et al. Climate Change impact and adaptation assessment on food consumption utilizing a new scenario framework. Environ. Sci. Technol. 48, 438–445 (2014).
    Article ADS CAS PubMed Google Scholar
  11. Stevanovic, M. et al. The impact of high-end climate change on agricultural welfare. Sci. Adv. 2, e1501452 (2016).
    Article ADS PubMed PubMed Central Google Scholar
  12. Lobell, D. B. et al. Prioritizing climate change adaptation needs for food security in 2030. Science 319, 607–610 (2008).
    Article CAS PubMed Google Scholar
  13. Fuss, S. et al. Global food security & adaptation under crop yield volatility. Technol. Forecast. Soc. Change 98, 223–233 (2015).
    Article Google Scholar
  14. Diffenbaugh, N. S., Hertel, T. W., Scherer, M. & Verma, M. Response of corn markets to climate volatility under alternative energy futures. Nat. Clim. Chang. 2, 514–518 (2012).
    Article ADS PubMed PubMed Central Google Scholar
  15. Ahmed, A. S., Diffenbaugh, S. N. & Hertel, W. T. Climate volatility deepens poverty vulnerability in developing countries. Environ. Res. Lett. 4, 034004 (2009).
    Article ADS Google Scholar
  16. Ahmed, S. A. et al. Climate volatility and poverty vulnerability in Tanzania. Glob. Environ. Change 21, 46–55 (2011).
    Article Google Scholar
  17. Suweis, S., Carr, J. A., Maritan, A., Rinaldo, A. & D’Odorico, P. Resilience and reactivity of global food security. Proc. Natl Acad. Sci. USA 112, 6902–6907 (2015).
    Article ADS CAS PubMed PubMed Central Google Scholar
  18. Puma, M. J., Bose, S., Chon, S. Y. & Cook, B. I. Assessing the evolving fragility of the global food system. Environ. Res. Lett. 10, 024007 (2015).
    Article ADS Google Scholar
  19. Chatzopoulos, T., Perez Dominguez, I., Zampieri, M. & Toreti, A. Climate extremes and agricultural commodity markets: a global economic analysis of regionally simulated events. Weather Clim. Extrem. 27, 100193 (2019).
    Article Google Scholar
  20. Katz, R. W. & Brown, B. G. Extreme events in a changing climate: variability is more important than averages. Clim. Change 21, 289–302 (1992).
    Article ADS Google Scholar
  21. Salinger, M. J. Climate variability and change: past, present and future–an overview. Clim. Change 70, 9–29 (2005).
    Article ADS CAS Google Scholar
  22. Flato, G. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.), 741–866 (Cambridge University Press, 2013).
  23. The State of Food Insecurity in the World 2012: Economic Growth Is Necessary but Not Sufficient to Accelerate Reduction of Hunger and Malnutrition (Food and Agriculture Organization, 2012).
  24. Hasegawa, T. et al. Consequence of climate mitigation on the risk of hunger. Environ. Sci. Technol. 49, 7245–7253 (2015).
    Article ADS CAS PubMed Google Scholar
  25. Sakurai, G., Iizumi, T., Nishimori, M. & Yokozawa, M. How much has the increase in atmospheric CO2 directly affected past soybean production? Sci. Rep. 4, 4978 (2014).
    Article ADS CAS PubMed PubMed Central Google Scholar
  26. Müller, C. et al. The global gridded crop model intercomparison phase 1 simulation dataset. Sci. Data 6, 50 (2019).
    Article PubMed PubMed Central Google Scholar
  27. Fujimori, S., Masui, T. and Matsuoka, Y. AIM/CGE [Basic] Manual (Center for Social and Environmental Systems Research, NIES, 2012).
  28. Sillmann, J. et al. Understanding, modeling and predicting weather and climate extremes: challenges and opportunities. Weather Clim. Extrem. 18, 65–74 (2017).
    Article Google Scholar
  29. Attribution of Extreme Weather Events in the Context of Climate Change (National Academies Press, 2016).
  30. Stephenson, D. B. in Climate Extremes and Society (eds Diaz H. F. & Murnane R. J.) 11–23 (Cambridge University Press, 2008).
  31. Hasegawa, T., Fujimori, S., Takahashi, K. & Masui, T. Scenarios for the risk of hunger in the twenty-first century using shared socioeconomic pathways. Environ. Res. Lett. 10, 014010 (2015).
    Article ADS Google Scholar
  32. Fujimori, S. et al. A multi-model assessment of food security implications of climate change mitigation. Nat. Sustain. 2, 386–396 (2019).
    Article Google Scholar
  33. van Meijl, H., Tabeau, A., Stehfest, E., Doelman, J. & Lucas, P. How food secure are the green, rocky and middle roads: food security effects in different world development paths. Environ. Res. Commun. 2, 031002 (2020).
    Article Google Scholar
  34. van Vuuren, D. P. et al. The representative concentration pathways: an overview. Clim. Change 109, 5–31 (2011).
    Article ADS Google Scholar
  35. Hasegawa, T. et al. Risk of increased food insecurity under stringent global climate change mitigation policy. Nat. Clim. Chang. 8, 699–703 (2018).
    Article ADS Google Scholar
  36. Lassa, J. A., Teng, P., Caballero-Anthony, M. & Shrestha, M. Revisiting emergency food reserve policy and practice under disaster and extreme climate events. Int. J. Disaster Risk Sci. 10, 1–13 (2019).
    Article Google Scholar
  37. Janssens, C. et al. Global hunger and climate change adaptation through international trade. Nat. Clim. Chang. 10, 829–835 (2020).
    Article ADS PubMed PubMed Central Google Scholar
  38. International Assessment of Agricultural Knowledge: Science and Technology for Development Global Report (IAASTD, 2009).
  39. Stathers, T., Lamboll, R. & Mvumi, B. M. Postharvest agriculture in changing climates: its importance to African smallholder farmers. Food Sec. 5, 361–392 (2013).
    Article Google Scholar
  40. Chriest, A. & Niles, M. The role of community social capital for food security following an extreme weather event. J. Rural Stud. 64, 80–90 (2018).
    Article Google Scholar
  41. World Agricultural Supply and Demand Estimates Report (US Department of Agriculture, 2016).
  42. O’Neill, B. C. et al. A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Clim. Change 122, 387–400 (2014).
    Article ADS Google Scholar
  43. Riahi, K. et al. The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: an overview. Global Environ. Change 42, 153–168 (2017).
    Article Google Scholar
  44. Fujimori, S. et al. SSP3: AIM implementation of Shared Socioeconomic Pathways. Global Environ. Change 42, 268–283 (2017).
    Article Google Scholar
  45. Masutomi, Y., Takahashi, K., Harasawa, H. & Matsuoka, Y. Impact assessment of climate change on rice production in Asia in comprehensive consideration of process/parameter uncertainty in general circulation models. Agric. Ecosyst. Environ. 131, 281–291 (2009).
    Article Google Scholar
  46. Denman, K. L. et al. Couplings Between Changes in the Climate System and Biogeochemistry (Cambridge University Press, 2007).
    Google Scholar
  47. Lal, P. N. et al. in Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, [Field, C.B. et al. (eds.)]. 339–392 (Cambridge University Press, 2012).
  48. Hertel, T. W. Food security under climate change. Nat. Clim. Chang. 6, 10–13 (2016).
    Article ADS Google Scholar
  49. O’Neill, B. C. et al. Achievements and needs for the climate change scenario framework. Nat. Clim. Chang. 10, 1074–1084 (2020).
    Article ADS Google Scholar
  50. Adoption of the Paris Agreement FCCC/CP/2015/L.9/Rev.1 (UNFCCC, 2015) http://unfccc.int/resource/docs/2015/cop21/eng/10a01.pdf
  51. Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485–498 (2011).
    Article ADS Google Scholar
  52. Hempel, S.F., Frieler, K., Warszawski, L., Schewe, J. & Piontek, F. Bias Corrected GCM Input Data for ISIMIP Fast Track (GFZ Data Services, 2013).
  53. Iizumi, T., Takikawa, H., Hirabayashi, Y., Hanasaki, N. & Nishimori, M. Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes. J. Geophys. Res. Atmos. 122, 7800–7819 (2017).
    Article ADS Google Scholar
  54. Iizumi, T. et al. Prediction of seasonal climate-induced variations in global food production. Nat. Clim. Chang. 3, 904–908 (2013).
    Article ADS Google Scholar
  55. Parry, M., Rosenzweig, C., Iglesias, A., Fischer, G. & Livermore, M. Climate change and world food security: a new assessment. Global Environ. Change 9, S51–S67 (1999).
    Article Google Scholar
  56. Mastrandrea, M. D. et al. Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties (IPCC, 2010).
  57. Zhou, D., Yu, X. & Herzfeld, T. Dynamic Food Demand in Urban China. GlobalFood Discussion Paper (Georg-August-Universität Göttingen, 2014).
  58. Bhargava, A. Estimating short and long run income elasticities of foods and nutrients for rural south India. J. R. Stat. Soc. Ser. A Stat. Soc. 154, 157–174 (1991).
    Article Google Scholar
  59. Farquhar, G. D., von Caemmerer, S. & Berry, J. A. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149, 78–90 (1980).
    Article CAS PubMed Google Scholar
  60. Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Williams, J. R. & King, K. W. Soil and Water Assessment Tool Theoretical Documentation (Grassland Soil and Water Research Laboratory, Agricultural Research Service, United States Department of Agriculture, 2009).
  61. Iizumi, T. et al. Historical changes in global yields: major cereal and legume crops from 1982 to 2006. Glob. Ecol. Biogeogr. 23, 346–357 (2014).
    Article Google Scholar
  62. Vrugt J. A. A. H., et al. Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling. Int. J. Nonlinear Sci. Numer. Simul. 10 (2009).
  63. Baldocchi, D. An analytical solution for coupled leaf photosynthesis and stomatal conductance models. Tree Physiol. 14, 1069–1079 (1994).
    Article PubMed Google Scholar
  64. Fujimori, S., Hasegawa, T., Masui, T. & Takahashi, K. Land use representation in a global CGE model for long-term simulation: CET vs. logit functions. Food Sec. 6, 685–699 (2014).
    Article Google Scholar
  65. 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
  66. Hanasaki, N. et al. A global water scarcity assessment under Shared Socio-economic Pathways—part 1: water use. Hydrol. Earth Syst. Sci. 17, 2375–2391 (2013).
    Article ADS Google Scholar
  67. FAO Methodology for the Measurement of Food Deprivation: Updating the Minimum Dietary Energy Requirements (Food and Agriculture Organization, 2008).

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