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DOI10.1016/j.agwat.2024.108673
Impacts of climate change on rice yields in the Nile River Delta of Egypt: A large-scale projection analysis based on CMIP6
Elsadek, Elsayed Ahmed; Zhang, Ke; Hamoud, Yousef Alhaj; Mousa, Ahmed; Awad, Ahmed; Abdallah, Mohammed; Shaghaleh, Hiba; Hamad, Amar Ali Adam; Jamil, Muhammad Tahir; Elbeltagi, Ahmed
发表日期2024
ISSN0378-3774
EISSN1873-2283
起始页码292
卷号292
英文摘要Climate change directly affects crop yields, which would cause more future food security crises. Ensemble global climate models (GCMs) combined with crop growth models are an effective method to project such impacts. In the current study, five criteria were used to pick out ten GCMs. Three types of efficiency criteria, namely root-mean-squared error (RMSE), Pearson's correlation coefficient (R), Nash-Sutcliffe efficiency coefficient (NSE), and bias (BISA) between predicted and observed temperature and precipitation, were used to evaluate and select the better-performing of the GCMs for the baseline period (1981-2010). Then, AquaCrop-GIS, driven by the downscaled projected climate data from the selected GCMs, was used to predict rice yields in the Nile River Delta (NRD) region under two Shared Socioeconomic Pathways (SSP) scenarios (SSP2-4.5 and SSP5-8.5) and four prediction periods (2021-2099). Four statistical indicators, namely, prediction error (Pe), normalized RMSE (RMSEn), index of agreement (D-index), and coefficient of determination (R-2), were used to evaluate the performance of AquaCrop-GIS. Our results showed that five GCMs, including the BCC-CSM2-MR, CMCC-ESM2, INM-CM5-0, MRI-ESM2-0, and UKESM1-0-LL, had better performances in simulating temperature and precipitation (0.81 <= RMSE <= 4.77, 0.30 <= NSE <= 0.97, and 0.57 <= R <= 0.99). In addition, AquaCrop-GIS showed excellent accuracy in simulating rice yields and predicted that, without CO2 effects, rice yields would increase by 2.19% and 4.23% under SSP2-4.5 and by 0.72% and 0.30% under SSP5-8.5 during the 2030s and 2050s, respectively. However, in the 2070s and 2090s, rice yields would decline by 7.20% and 9.0% under SSP2-4.5 and by 23.34% and 34.24% under SSP5-8.5 during the 2070s and 2090s, respectively. With CO2 effects, rice yields would rise by 14.49%, 24.97%, 15.96%, and 16.93% under SSP2-4.5 and by 14.33%, 26.22%, 8.06%, and 1.61% under SSP5-8.5 during the 2030s, 2050s, 2070s, and 2090s, respectively. Regardless of uncertainties and limitations, our findings are beneficial for farmers and policymakers to develop appropriate management strategies to improve rice yields in Egypt.
英文关键词AquaCrop-GIS; Climate change; CMIP6; Downscaling; Nile River Delta; Rice(Oryza sativa L.)
语种英语
WOS研究方向Agriculture ; Water Resources
WOS类目Agronomy ; Water Resources
WOS记录号WOS:001161904700001
来源期刊AGRICULTURAL WATER MANAGEMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/288529
作者单位Hohai University; Hohai University; Hohai University; Egyptian Knowledge Bank (EKB); Damietta University; Hohai University; Hohai University; Hohai University; Egyptian Knowledge Bank (EKB); Damietta University; Ministry of Water Resources & Irrigation; Hohai University; Egyptian Knowledge Bank (EKB); Mansoura University
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GB/T 7714
Elsadek, Elsayed Ahmed,Zhang, Ke,Hamoud, Yousef Alhaj,et al. Impacts of climate change on rice yields in the Nile River Delta of Egypt: A large-scale projection analysis based on CMIP6[J],2024,292.
APA Elsadek, Elsayed Ahmed.,Zhang, Ke.,Hamoud, Yousef Alhaj.,Mousa, Ahmed.,Awad, Ahmed.,...&Elbeltagi, Ahmed.(2024).Impacts of climate change on rice yields in the Nile River Delta of Egypt: A large-scale projection analysis based on CMIP6.AGRICULTURAL WATER MANAGEMENT,292.
MLA Elsadek, Elsayed Ahmed,et al."Impacts of climate change on rice yields in the Nile River Delta of Egypt: A large-scale projection analysis based on CMIP6".AGRICULTURAL WATER MANAGEMENT 292(2024).
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