Abstract

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.

Details

Title
Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty
Author
Carl-Friedrich Schleussner 1   VIAFID ORCID Logo  ; Deryng, Delphine 2   VIAFID ORCID Logo  ; Müller, Christoph 3   VIAFID ORCID Logo  ; Elliott, Joshua 4 ; Saeed, Fahad 5   VIAFID ORCID Logo  ; Folberth, Christian 6   VIAFID ORCID Logo  ; Liu, Wenfeng 7   VIAFID ORCID Logo  ; Wang, Xuhui 8 ; Pugh, Thomas A M 9   VIAFID ORCID Logo  ; Thiery, Wim 10   VIAFID ORCID Logo  ; Seneviratne, Sonia I 11 ; Rogelj, Joeri 12   VIAFID ORCID Logo 

 Climate Analytics, 10969 Berlin, Germany; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany 
 Climate Analytics, 10969 Berlin, Germany; Columbia University Center for Climate Systems Research, New York, NY 10025, United States of America 
 Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany 
 University of Chicago and ANL Computation Institute, Chicago, IL 60637, United States of America 
 Climate Analytics, 10969 Berlin, Germany; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom; Center of Excellence for Climate Change Research, Department of Meteorology, King Abdulaziz University, Jeddah, Saudi Arabia 
 International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria 
 Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Duebendorf, Switzerland 
 Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ, Orme des Merisiers, 91191 Gif-sur-Yvette, France; Sino-French Institute of Earth System Sciences, Peking University, 100871 Beijing, People’s Republic of China 
 School of Geography, Earth & Environmental Sciences and Birmingham Institute of Forest Research, Birmingham B15 2TT, United Kingdom; Karlsruhe Institute of Technology, IMK-IFU, 82467 Garmisch-Partenkirchen, Germany 
10  ETH Zurich, 8092 Zürich, Switzerland; Vrije Universiteit Brussel, 1050 Brussels, Belgium 
11  ETH Zurich, 8092 Zürich, Switzerland 
12  International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria; ETH Zurich, 8092 Zürich, Switzerland; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom; Center of Excellence for Climate Change Research, Department of Meteorology, King Abdulaziz University, Jeddah, Saudi Arabia 
Publication year
2018
Publication date
Jun 2018
Publisher
IOP Publishing
e-ISSN
17489326
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2548969085
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.