Local impacts of climate change on winter wheat in Great Britain

被引:9
|
作者
Putelat, Thibaut [1 ,3 ]
Whitmore, Andrew P. [1 ]
Senapati, Nimai [2 ]
Semenov, Mikhail A. [2 ]
机构
[1] Rothamsted Res, Dept Sustainable Agr Sci, Harpenden AL5 2JQ, Herts, England
[2] Rothamsted Res, Dept Plant Sci, Harpenden AL5 2JQ, Herts, England
[3] Univ Bristol, Dept Engn Math, Bristol BS8 1UB, Avon, England
来源
ROYAL SOCIETY OPEN SCIENCE | 2021年 / 8卷 / 06期
基金
英国生物技术与生命科学研究理事会;
关键词
Sirius crop simulation model; local-scale climate scenarios; LARS-WG weather generator; drought and heat stress; GLOBAL FOOD DEMAND; WITHSTAND DROUGHT; SIMULATION-MODELS; UK CONDITIONS; UNCERTAINTIES; CULTIVARS; SCENARIOS; ABILITY; EUROPE; YIELDS;
D O I
10.1098/rsos.201669
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Under future CMIP5 climate change scenarios for 2050, an increase in wheat yield of about 10% is predicted in Great Britain (GB) as a result of the combined effect of CO2 fertilization and a shift in phenology. Compared to the present day, crops escape increases in the climate impacts of drought and heat stresses on grain yield by developing before these stresses can occur. In the future, yield losses from water stress over a growing season will remain about the same across Great Britain with losses reaching around 20% of potential yield, while losses from drought around flowering will decrease and account for about 9% of water limited yield. Yield losses from heat stress around flowering will remain negligible in the future. These conclusions are drawn from a modelling study based on the response of the Sirius wheat simulation model to local-scale 2050-climate scenarios derived from 19 Global Climate Models from the CMIP5 ensemble at 25 locations representing current or potential wheat-growing areas in GB. However, depending on susceptibility to water stress, substantial interannual yield variation between locations is predicted, in some cases suggesting low wheat yield stability. For this reason, local-scale studies should be performed to evaluate uncertainties in yield prediction related to future weather patterns.
引用
收藏
页数:12
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