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Title: Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty

Journal Article · · Environmental Research Letters
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [4]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [7];  [8]; ORCiD logo [9]; ORCiD logo [10];  [11]; ORCiD logo [12]
  1. Climate Analytics, Berlin (Germany); Potsdam Institute for Climate Impact Research, Potsdam (Germany)
  2. Climate Analytics, Berlin (Germany); Columbia University Center for Climate Systems Research, New York, NY (United States)
  3. Potsdam Institute for Climate Impact Research, Potsdam (Germany)
  4. Univ. of Chicago and ANL Computation Inst., Chicago, IL (United States)
  5. Climate Analytics, Berlin (Germany); King Abdulaziz University, Jeddah (Saudi Arabia)
  6. International Inst. for Applied Systems Analysis, Laxenburg (Austria)
  7. Swiss Federal Institute of Aquatic Science and Technology, Duebendorf (Switzerland)
  8. Lab des Sciences du Climat et de l’Environnement, Gif-sur-Yvette (France); Peking Univ., Beijing (People's Republic of China)
  9. Earth & Environmental Sciences and Birmingham Institute of Forest Research, Birmingham (United Kingdom); Karlsruhe Inst. of Technology, Garmisch-Partenkirchen (Germany)
  10. ETH Zurich, Zurich (Switzerland); Vrije Univ. Brussel, Brussels (Belgium)
  11. ETH Zurich, Zurich (Switzerland)
  12. International Inst. for Applied Systems Analysis, Laxenburg (Austria); ETH Zurich, Zurich (Switzerland); Univ. of Oxford, Oxford (United Kingdom)

Following the adoption of the Paris Agreement, there has been an increasing interest in quantifying impacts at discrete levels of global mean temperature (GMT) increase such as 1.5 °C and 2 °C above pre-industrial levels. Consequences of anthropogenic greenhouse gas emissions on agricultural productivity have direct and immediate relevance for human societies. Future crop yields will be affected by anthropogenic climate change as well as direct effects of emissions such as CO2 fertilization. At the same time, the climate sensitivity to future emissions is uncertain. Here we investigate the sensitivity of future crop yield projections with a set of global gridded crop models for four major staple crops at 1.5 °C and 2 °C warming above pre-industrial levels, as well as at different CO2 levels determined by similar probabilities to lead to 1.5 °C and 2 °C, using climate forcing data from the Half a degree Additional warming, Prognosis and Projected Impacts project. For the same CO2 forcing, we find consistent negative effects of half a degree warming on productivity in most world regions. Increasing CO2 concentrations consistent with these warming levels have potentially stronger but highly uncertain effects than 0.5 °C warming increments. Half a degree warming will also lead to more extreme low yields, in particular over tropical regions. Our results indicate that GMT change alone is insufficient to determine future impacts on crop productivity.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Univ. of California, Oakland, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1543951
Journal Information:
Environmental Research Letters, Vol. 13, Issue 6; ISSN 1748-9326
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 64 works
Citation information provided by
Web of Science

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Cited By (7)

When Will Current Climate Extremes Affecting Maize Production Become the Norm? journal February 2019
Economic and biophysical impacts on agriculture under 1.5 °C and 2 °C warming journal November 2018
The global and regional impacts of climate change under representative concentration pathway forcings and shared socioeconomic pathway socioeconomic scenarios journal August 2019
Global wheat production with 1.5 and 2.0°C above pre‐industrial warming journal January 2019
Future Wheat Yield Variabilities and Water Footprints Based on the Yield Sensitivity to Past Climate Conditions journal November 2019
In silico identification and evaluation of Bacillus subtilis cold shock protein B (cspB)-like plant RNA chaperones text January 2020
Global Response Patterns of Major Rainfed Crops to Adaptation by Maintaining Current Growing Periods and Irrigation text January 2019

Figures / Tables (5)