Literature DB >> 28063186

The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2.

Zhenong Jin1, Qianlai Zhuang1,2, Jiali Wang3, Sotirios V Archontoulis4, Zachary Zobel5, Veerabhadra R Kotamarthi3.   

Abstract

Heat and drought are two emerging climatic threats to the US maize and soybean production, yet their impacts on yields are collectively determined by the magnitude of climate change and rising atmospheric CO2 concentrations. This study quantifies the combined and separate impacts of high temperature, heat and drought stresses on the current and future US rainfed maize and soybean production and for the first time characterizes spatial shifts in the relative importance of individual stress. Crop yields are simulated using the Agricultural Production Systems Simulator (APSIM), driven by high-resolution (12 km) dynamically downscaled climate projections for 1995-2004 and 2085-2094. Results show that maize and soybean yield losses are prominent in the US Midwest by the late 21st century under both Representative Concentration Pathway (RCP) 4.5 and RCP8.5 scenarios, and the magnitude of loss highly depends on the current vulnerability and changes in climate extremes. Elevated atmospheric CO2 partially but not completely offsets the yield gaps caused by climate extremes, and the effect is greater in soybean than in maize. Our simulations suggest that drought will continue to be the largest threat to US rainfed maize production under RCP4.5 and soybean production under both RCP scenarios, whereas high temperature and heat stress take over the dominant stress of drought on maize under RCP8.5. We also reveal that shifts in the geographic distributions of dominant stresses are characterized by the increase in concurrent stresses, especially for the US Midwest. These findings imply the importance of considering heat and drought stresses simultaneously for future agronomic adaptation and mitigation strategies, particularly for breeding programs and crop management. The modeling framework of partitioning the total effects of climate change into individual stress impacts can be applied to the study of other crops and agriculture systems.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  Agricultural Production Systems Simulator; climate change; drought; elevated CO2; heat; maize; soybean

Mesh:

Year:  2017        PMID: 28063186     DOI: 10.1111/gcb.13617

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  4 in total

1.  Climate Change and Management Impacts on Soybean N Fixation, Soil N Mineralization, N2O Emissions, and Seed Yield.

Authors:  Elvis F Elli; Ignacio A Ciampitti; Michael J Castellano; Larry C Purcell; Seth Naeve; Patricio Grassini; Nicolas C La Menza; Luiz Moro Rosso; André F de Borja Reis; Péter Kovács; Sotirios V Archontoulis
Journal:  Front Plant Sci       Date:  2022-04-27       Impact factor: 6.627

2.  Interactive effects of elevated CO2 concentration and combined heat and drought stress on tomato photosynthesis.

Authors:  Rong Zhou; Xiaqing Yu; Junqin Wen; Nikolaj Bjerring Jensen; Thayna Mendanha Dos Santos; Zhen Wu; Eva Rosenqvist; Carl-Otto Ottosen
Journal:  BMC Plant Biol       Date:  2020-06-07       Impact factor: 4.215

3.  Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt.

Authors:  Mohsen Shahhosseini; Guiping Hu; Isaiah Huber; Sotirios V Archontoulis
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

4.  The CO2 fertilization effect on leaf photosynthesis of maize (Zea mays L.) depends on growth temperatures with changes in leaf anatomy and soluble sugars.

Authors:  Liang Liu; Lihua Hao; Yunxin Zhang; Haoran Zhou; Baoguo Ma; Yao Cheng; Yinshuai Tian; Zhijie Chang; Yunpu Zheng
Journal:  Front Plant Sci       Date:  2022-08-19       Impact factor: 6.627

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.