Climate impact and adaptation to heat and drought stress of regional and global wheat production

被引:94
作者
Pequeno, Diego N. L. [1 ]
Hernandez-Ochoa, Ixchel M. [2 ]
Reynolds, Matthew [1 ]
Sonder, Kai [1 ]
MoleroMilan, Anabel [1 ]
Robertson, Richard D. [3 ]
Lopes, Marta S. [4 ]
Xiong, Wei [5 ]
Kropff, Martin [1 ]
Asseng, Senthold [2 ,6 ]
机构
[1] Int Maize & Wheat Improvement Ctr, Apdo Postal 6-641, Mexico City 06600, DF, Mexico
[2] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA
[3] Int Food Policy Res Inst, Washington, DC 20005 USA
[4] Inst Agrifood Res & Technol, Sustainable Field Crops Programme, Barcelona 08140, Spain
[5] Int Maize & Wheat Improvement Ctr, Beijing 100081, Peoples R China
[6] Tech Univ Munich, Digital Agr, D-85354 Freising Weihenstephan, Germany
关键词
Triticum aestivum; heat tolerance in wheat; drought resistant wheat; wheat genetic traits; climate change adaptation; global gridded simulation; crop modeling; USE EFFICIENCY; CROP PRODUCTIVITY; FOOD SECURITY; MAJOR CROPS; WATER-USE; MODEL; NITROGEN; GROWTH; YIELD; TEMPERATURE;
D O I
10.1088/1748-9326/abd970
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wheat (Triticum aestivum) is the most widely grown food crop in the world threatened by future climate change. In this study, we simulated climate change impacts and adaptation strategies for wheat globally using new crop genetic traits (CGT), including increased heat tolerance, early vigor to increase early crop water use, late flowering to reverse an earlier anthesis in warmer conditions, and the combined traits with additional nitrogen (N) fertilizer applications, as an option to maximize genetic gains. These simulations were completed using three wheat crop models and five Global Climate Models (GCM) for RCP 8.5 at mid-century. Crop simulations were compared with country, US state, and US county grain yield and production. Wheat yield and production from high-yielding and low-yielding countries were mostly captured by the model ensemble mean. However, US state and county yields and production were often poorly reproduced, with large variability in the models, which is likely due to poor soil and crop management input data at this scale. Climate change is projected to decrease global wheat production by -1.9% by mid-century. However, the most negative impacts are projected to affect developing countries in tropical regions. The model ensemble mean suggests large negative yield impacts for African and Southern Asian countries where food security is already a problem. Yields are predicted to decline by -15% in African countries and -16% in Southern Asian countries by 2050. Introducing CGT as an adaptation to climate change improved wheat yield in many regions, but due to poor nutrient management, many developing countries only benefited from adaptation from CGT when combined with additional N fertilizer. As growing conditions and the impact from climate change on wheat vary across the globe, region-specific adaptation strategies need to be explored to increase the possible benefits of adaptations to climate change in the future.
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页数:17
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