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Increasing risks of multiple breadbasket failure under 1.5 and 2 °C global warming

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  • Gaupp, Franziska
  • Hall, Jim
  • Mitchell, Dann
  • Dadson, Simon

Abstract

The increasingly inter-connected global food system is becoming more vulnerable to production shocks owing to increasing global mean temperatures and more frequent climate extremes. Little is known, however, about the actual risks of multiple breadbasket failure due to extreme weather events. Motivated by the Paris Climate Agreement, this paper quantifies spatial risks to global agriculture in 1.5 and 2 °C warmer worlds. This paper focuses on climate risks posed to three major crops - wheat, soybean and maize - in five major global food producing areas. Climate data from the atmosphere-only HadAM3P model as part of the “Half a degree Additional warming, Prognosis and Projected Impacts” (HAPPI) experiment are used to analyse the risks of climatic extreme events. Using the copula methodology, the risks of simultaneous crop failure in multiple breadbaskets are investigated. Projected losses do not scale linearly with global warming increases between 1.5 and 2 °C Global Mean Temperature (GMT). In general, whilst the differences in yield at 1.5 versus 2 °C are significant they are not as large as the difference between 1.5 °C and the historical baseline which corresponds to 0.85 °C above pre-industrial GMT. Risks of simultaneous crop failure, however, do increase disproportionately between 1.5 and 2 °C, so surpassing the 1.5 °C threshold will represent a threat to global food security. For maize, risks of multiple breadbasket failures increase the most, from 6% to 40% at 1.5 to 54% at 2 °C warming. In relative terms, the highest simultaneous climate risk increase between the two warming scenarios was found for wheat (40%), followed by maize (35%) and soybean (23%). Looking at the impacts on agricultural production, we show that limiting global warming to 1.5 °C would avoid production losses of up to 2753 million (161,000, 265,000) tonnes maize (wheat, soybean) in the global breadbaskets and would reduce the risk of simultaneous crop failure by 26%, 28% and 19% respectively.

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  • Gaupp, Franziska & Hall, Jim & Mitchell, Dann & Dadson, Simon, 2019. "Increasing risks of multiple breadbasket failure under 1.5 and 2 °C global warming," Agricultural Systems, Elsevier, vol. 175(C), pages 34-45.
    • Handle: RePEc:eee:agisys:v:175:y:2019:i:c:p:34-45
    DOI: 10.1016/j.agsy.2019.05.010
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    1. Aas, Kjersti & Czado, Claudia & Frigessi, Arnoldo & Bakken, Henrik, 2009. "Pair-copula constructions of multiple dependence," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 182-198, April.
    2. Sonia I. Seneviratne & Markus G. Donat & Andy J. Pitman & Reto Knutti & Robert L. Wilby, 2016. "Allowable CO2 emissions based on regional and impact-related climate targets," Nature, Nature, vol. 529(7587), pages 477-483, January.
    3. E. M. Fischer & R. Knutti, 2015. "Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes," Nature Climate Change, Nature, vol. 5(6), pages 560-564, June.
    4. Dißmann, J. & Brechmann, E.C. & Czado, C. & Kurowicka, D., 2013. "Selecting and estimating regular vine copulae and application to financial returns," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 52-69.
    5. Christoph Schmitz & Hans van Meijl & Page Kyle & Gerald C. Nelson & Shinichiro Fujimori & Angelo Gurgel & Petr Havlik & Edwina Heyhoe & Daniel Mason d'Croz & Alexander Popp & Ron Sands & Andrzej Tabea, 2014. "Land-use change trajectories up to 2050: insights from a global agro-economic model comparison," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 69-84, January.
    6. A. J. Challinor & J. Watson & D. B. Lobell & S. M. Howden & D. R. Smith & N. Chhetri, 2014. "A meta-analysis of crop yield under climate change and adaptation," Nature Climate Change, Nature, vol. 4(4), pages 287-291, April.
    7. S. Asseng & F. Ewert & P. Martre & R. P. Rötter & D. B. Lobell & D. Cammarano & B. A. Kimball & M. J. Ottman & G. W. Wall & J. W. White & M. P. Reynolds & P. D. Alderman & P. V. V. Prasad & P. K. Agga, 2015. "Rising temperatures reduce global wheat production," Nature Climate Change, Nature, vol. 5(2), pages 143-147, February.
    8. Carl-Friedrich Schleussner & Joeri Rogelj & Michiel Schaeffer & Tabea Lissner & Rachel Licker & Erich M. Fischer & Reto Knutti & Anders Levermann & Katja Frieler & William Hare, 2016. "Science and policy characteristics of the Paris Agreement temperature goal," Nature Climate Change, Nature, vol. 6(9), pages 827-835, September.
    9. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
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