TY - JOUR
T1 - Rice drought risk assessment under climate change
T2 - Based on physical vulnerability a quantitative assessment method
AU - Guo, Hao
AU - Wang, Ran
AU - Garfin, Gregg M.
AU - Zhang, Anyu
AU - Lin, Degen
AU - Liang, Qin'ou
AU - Wang, Jing'ai
N1 - Funding Information:
The National Natural Science Foundation (No. 41671501 ) and the National Key Research and Development Program (No. 2016YFA0602402 ) provided financial support for this research. We thank the anonymous reviewers and editor for their helpful comments to improve the quality of this manuscript.
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2021/1/10
Y1 - 2021/1/10
N2 - Drought is the most serious natural disaster causing severe damage to agriculture. Drought impacts on rice (Oryza sativa) production present a major threat to future global food security. In this paper, the Environmental Policy Integrated Climate (EPIC) model was used to simulate the growth of rice, in different periods (short-term (2019–2039), medium-term (2040–2069), long-term (2070–2099)), based on multiple Representative Concentration Pathways (RCP) scenarios. Drought intensity and rice physical vulnerability curves were assessed, based on the output parameters of EPIC, to evaluate global rice yield risk, due to drought. The results show that the average expected loss rate of global rice yield may reach 13.1% (±0.4%) in the future. The high-risk area of rice drought is mainly located in the north of 30°N. The fluctuation of rice drought risk and the proportion of increased risk areas will increase significantly. About 77.6% of the changes in rice drought risk are explained by variations in shortwave radiation (r = 0.88). Projections show that the average value of daily shortwave radiation increases by 1 W/m2 during the rice growth period, accompanied by an expected rice yield loss rate of about 12.7%. The rice drought risk methods presented in this paper provide plausible estimates of forecasting future drought risk under climate change, and address challenges of sparse data; we believe these methods can be applied to decisions for reducing drought-related crop losses and ensuring global food security.
AB - Drought is the most serious natural disaster causing severe damage to agriculture. Drought impacts on rice (Oryza sativa) production present a major threat to future global food security. In this paper, the Environmental Policy Integrated Climate (EPIC) model was used to simulate the growth of rice, in different periods (short-term (2019–2039), medium-term (2040–2069), long-term (2070–2099)), based on multiple Representative Concentration Pathways (RCP) scenarios. Drought intensity and rice physical vulnerability curves were assessed, based on the output parameters of EPIC, to evaluate global rice yield risk, due to drought. The results show that the average expected loss rate of global rice yield may reach 13.1% (±0.4%) in the future. The high-risk area of rice drought is mainly located in the north of 30°N. The fluctuation of rice drought risk and the proportion of increased risk areas will increase significantly. About 77.6% of the changes in rice drought risk are explained by variations in shortwave radiation (r = 0.88). Projections show that the average value of daily shortwave radiation increases by 1 W/m2 during the rice growth period, accompanied by an expected rice yield loss rate of about 12.7%. The rice drought risk methods presented in this paper provide plausible estimates of forecasting future drought risk under climate change, and address challenges of sparse data; we believe these methods can be applied to decisions for reducing drought-related crop losses and ensuring global food security.
KW - EPIC
KW - Global rice drought risk
KW - Physical vulnerability curves
KW - RCPs
KW - Yield loss rate
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U2 - 10.1016/j.scitotenv.2020.141481
DO - 10.1016/j.scitotenv.2020.141481
M3 - Article
C2 - 32889453
AN - SCOPUS:85090017371
SN - 0048-9697
VL - 751
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 141481
ER -