Silver lining to a climate crisis: multiple prospects for alleviating crop waterlogging under future climates

Author:

Liu Ke1ORCID,Harrison Matthew1ORCID,Yan Haoliang2,Liu De Li3ORCID,Meinke Holger1ORCID,Hoogenboom Gerrit4ORCID,Wang Bin5ORCID,Peng Bin6ORCID,Guan Kaiyu6ORCID,Jaegermeyr Jonas7,Wang Enli8ORCID,Zhang Feng9ORCID,Yin Xiaogang10,Archontoulis Sotirios11ORCID,Nie Lixiao12,Badea Ana13,Man Jianguo14,Wallach D15,Zhao Jin10,Benjumea Ana13,Zhang Yunbo16,Wang Weilu17,Fahad Shah12,Tao Fulu18ORCID,ZHANG Z19,Rötter Reimund20,Yuan Youlu21,Zhu Min13,Dai Panhong22,Nie Jiangwen10,Yang Yadong10,Tian Xiaohai16,Zhou Meixue1

Affiliation:

1. University of Tasmania

2. Institute of Cotton Research of the Chinese Academy of Agricultural Sciences

3. NSW Department of Primary Industries, Wagga Wagga Agricultural Institute

4. University of Florida

5. New South Wales Department of Primary Industries

6. University of Illinois at Urbana-Champaign

7. NASA, Goddard Institute for Space Studies, and Columbia University

8. Commonwealth Scientific and Industrial Research Organisation

9. Lanzhou University

10. China Agricultural University

11. Iowa State University

12. Hainan University

13. Agriculture and Agri-Food Canada

14. Huazhong Agricultural University

15. INRA

16. Yangtze University

17. Yangzhou University

18. Chinese Academy of Science

19. Key Laboratory of Environmental Change and Natural Disaster MOE, Faculty of Geographical Science, Beijing Normal University

20. University of Göttingen

21. State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences

22. Anyang Institute of Technology

Abstract

Abstract Extreme weather events threaten food security, yet global assessments of crop waterlogging are rare. Here, we make three important contributions to the literature. First, we develop a paradigm that distils common stress patterns across environments, genotypes and climate horizons. Second, we embed improved process-based understanding into a contemporary farming systems model to discern changes in global crop waterlogging under future climates. Third, we elicit viable systems adaptations to waterlogging. Using projections from 27 global circulation models, we show that yield penalties caused by waterlogging increased from 3–11% historically to 10–20% by 2080. Altering sowing time and adopting waterlogging tolerant genotypes reduced yield penalties by up to 18%, while earlier sowing of winter genotypes alleviated waterlogging risk by 8%. We show that future stress patterns caused by waterlogging are likely to be similar to those occurring historically, suggesting that adaptations for future climates could be successfully designed using current stress patterns.

Publisher

Research Square Platform LLC

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