Climate Shifts within Major Agricultural Seasons for +1.5 and +2.0 °C Worlds: HAPPI Projections and AgMIP Modeling Scenarios.

Alex C Ruane, Meridel M Phillips, Cynthia Rosenzweig
Author Information
  1. Alex C Ruane: NASA Goddard Institute for Space Studies, New York, NY, USA.
  2. Meridel M Phillips: Columbia University Center for Climate Systems Research, New York, NY, USA.
  3. Cynthia Rosenzweig: NASA Goddard Institute for Space Studies, New York, NY, USA.

Abstract

This study compares climate changes in major agricultural regions and current agricultural seasons associated with global warming of +1.5 or +2.0 °C above pre-industrial conditions. It describes the generation of climate scenarios for agricultural modeling applications conducted as part of the Agricultural Model Intercomparison and Improvement Project (AgMIP) Coordinated Global and Regional Assessments. Climate scenarios from the Half a degree Additional warming, Projections, Prognosis and Impacts project (HAPPI) are largely consistent with transient scenarios extracted from RCP4.5 simulations of the Coupled Model Intercomparison Project phase 5 (CMIP5). Focusing on food and agricultural systems and top-producing breadbaskets in particular, we distinguish maize, Rice, wheat, and soy season changes from global annual mean climate changes. Many agricultural regions warm at a rate that is faster than the global mean surface temperature (including oceans) but slower than the mean land surface temperature, leading to regional warming that exceeds 0.5 °C between the +1.5 and +2.0 °C Worlds. Agricultural growing seasons warm at a pace slightly behind the annual temperature trends in most regions, while precipitation increases slightly ahead of the annual rate. Rice cultivation regions show reduced warming as they are concentrated where monsoon rainfall is projected to intensify, although projections are influenced by Asian aerosol loading in climate mitigation scenarios. Compared to CMIP5, HAPPI slightly underestimates the CO concentration that corresponds to the +1.5 °C World but overestimates the CO concentration for the +2.0 °C World, which means that HAPPI scenarios may also lead to an overestimate in the beneficial effects of CO on crops in the +2.0 °C World. HAPPI enables detailed analysis of the shifting distribution of extreme growing season temperatures and precipitation, highlighting widespread increases in extreme heat seasons and heightened skewness toward hot seasons in the tropics. Shifts in the probability of extreme drought seasons generally tracked median precipitation changes; however, some regions skewed toward drought conditions even where median precipitation changes were small. Together, these findings highlight unique seasonal and agricultural region changes in the +1.5°C and +2.0°C worlds for adaptation planning in these climate stabilization targets.

References

  1. Glob Chang Biol. 2015 Jul;21(7):2670-2686 [PMID: 25482824]
  2. Environ Res Lett. 2017 Dec;12(12): [PMID: 30881482]
  3. Clim Res. 2018;76(1):17-39 [PMID: 33154611]
  4. Nat Plants. 2016 Dec 12;3:16193 [PMID: 27941818]
  5. Proc Natl Acad Sci U S A. 2014 Mar 4;111(9):3239-44 [PMID: 24344283]
  6. J Adv Model Earth Syst. 2017 Sep;9(5):2230-2265 [PMID: 30574266]
  7. Sci Adv. 2018 Feb 14;4(2):eaao3354 [PMID: 29457133]
  8. Agric Syst. 2017 Jul;155:213-224 [PMID: 28701814]
  9. Proc Natl Acad Sci U S A. 2007 Dec 11;104(50):19691-6 [PMID: 18077402]
  10. Curr Opin Plant Biol. 2016 Jun;31:36-43 [PMID: 27043481]
  11. Glob Chang Biol. 2014 Feb;20(2):394-407 [PMID: 24115520]
  12. Proc Natl Acad Sci U S A. 2005 Apr 12;102(15):5326-33 [PMID: 15749818]
  13. PLoS One. 2017 Jan 11;12(1):e0168697 [PMID: 28076360]
  14. Philos Trans A Math Phys Eng Sci. 2018 May 13;376(2119): [PMID: 29610385]
  15. Nat Commun. 2014 May 15;5:3712 [PMID: 24827075]
  16. Glob Chang Biol. 2017 Mar;23(3):1258-1281 [PMID: 27387228]
  17. Proc Natl Acad Sci U S A. 2014 Mar 4;111(9):3268-73 [PMID: 24344314]
  18. Proc Natl Acad Sci U S A. 2017 Aug 29;114(35):9326-9331 [PMID: 28811375]
  19. Nature. 2010 Feb 11;463(7282):747-56 [PMID: 20148028]
  20. Glob Chang Biol. 2015 Mar;21(3):1328-41 [PMID: 25294087]
  21. Glob Chang Biol. 2014 Jul;20(7):2301-20 [PMID: 24395589]

Word Cloud

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