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Agricultural Breadbaskets Shift Poleward Given Adaptive Farmer Behavior Under Climate ChangeModern food production is spatially concentrated in global “breadbaskets”. A major unresolved question is whether these peak production regions will shift poleward as the climate warms, allowing some recovery of potential climaterelated losses. While agricultural impacts studies to date have focused on currently cultivated land, the Global Gridded Crop Model Intercomparison Project (GGCMI) Phase 2 experiment allows us to assess changes in both yields and the location of peak productivity regions under warming. We examine crop responses under projected end-of-century warming using 7 process-based models simulating 5 major crops (maize, rice, soybeans, and spring and winter wheat) with a variety of adaptation strategies. We find that in no-adaptation cases, when planting date and cultivar choices are held fixed, regions of peak production remain stationary and yield losses can be severe, since growing seasons contract strongly with warming. When adaptations in management practices are allowed (cultivars that retain growing season length under warming and modified planting dates), peak productivity zones shift poleward and yield losses are largely recovered. While most growing-zone shifts are ultimately limited by geography, breadbaskets studied here move poleward over 600 km on average by end of the century under RCP8.5. These results suggest that agricultural impacts assessments can be strongly biased if restricted in spatial area or in the scope of adaptive behavior considered. Accurate evaluation of food security under climate change requires global modeling and careful treatment of adaptation strategies.
Document ID
20210021423
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
James A Franke
(University of Chicago Chicago, Illinois, United States)
Christoph Müller ORCID
(Potsdam Institute for Climate Impact Research Potsdam, Germany)
Sara Minoli ORCID
(Potsdam Institute for Climate Impact Research Potsdam, Germany)
Joshua Elliott
(University of Chicago Chicago, Illinois, United States)
Christian Folberth ORCID
(International Institute for Applied Systems Analysis Laxenburg, Austria)
Charles Gardner
(University of Chicago Chicago, Illinois, United States)
Tobias Hank ORCID
(Ludwig Maximilian University of Munich Munich, Germany)
R Cesar Izaurralde
(University of Maryland, College Park College Park, Maryland, United States)
Jonas Jaegermeyr
(Columbia University New York, New York, United States)
Curtis D Jones
(University of Maryland, College Park College Park, Maryland, United States)
Wenfeng Liu ORCID
(Swiss Federal Institute of Aquatic Science and Technology Dübendorf, Switzerland)
Stefan Olin ORCID
(Lund University Lund, Sweden)
Thomas A M Purgh
(Lund University Lund, Sweden)
Alex C Ruane
(Goddard Institute for Space Studies New York, New York, United States)
Haynes Stephens
(University of Chicago Chicago, Illinois, United States)
Florian Zabel ORCID
(Ludwig Maximilian University of Munich Munich, Germany)
Elizabeth J Moyer
(University of Chicago Chicago, Illinois, United States)
Date Acquired
September 8, 2021
Publication Date
September 3, 2021
Publication Information
Publication: Global Change Biology
Publisher: Wiley /American Geophysical Union
Volume: 28
Issue: 1
Issue Publication Date: January 1, 2022
ISSN: 1354-1013
e-ISSN: 1365-2486
Subject Category
Meteorology And Climatology
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80NSSC20M0282
WBS: 509496.02.80.01.03
WBS: 281945.02.80.01.32
CONTRACT_GRANT: NNX16AK38G (INCA)
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
adaptation
AgMIP
climate change
crop modeling
GGCMI
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