Impacts of climate change on rice yields in the Nile River Delta of Egypt: A large-scale projection analysis based on CMIP6

均方误差 环境科学 降水 决定系数 气候变化 相关系数 气候学 粮食安全 数学 统计 气象学 地理 农业 地质学 考古 生物 生态学
作者
Elsayed Ahmed Elsadek,Ke Zhang,Yousef Alhaj Hamoud,Ahmed Mousa,Ahmed Awad,Mohammed Abdallah,Hiba Shaghaleh,Amar Ali Adam Hamad,Muhammad Tahir Jamil,Ahmed Elbeltagi
出处
期刊:Agricultural Water Management [Elsevier BV]
卷期号:292: 108673-108673 被引量:10
标识
DOI:10.1016/j.agwat.2024.108673
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 (Dindex), and coefficient of determination (R2), 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
Owen应助qianru采纳,获得10
3秒前
eloise发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
整齐岩完成签到 ,获得积分10
10秒前
QJQ完成签到 ,获得积分10
10秒前
共享精神应助juphen2采纳,获得10
11秒前
kangzezhou发布了新的文献求助10
11秒前
12秒前
万能图书馆应助hcxhch采纳,获得10
13秒前
www完成签到,获得积分10
14秒前
15秒前
16秒前
willam发布了新的文献求助10
16秒前
18秒前
xyl完成签到,获得积分10
19秒前
123完成签到,获得积分10
19秒前
19秒前
19秒前
yinch发布了新的文献求助20
19秒前
qianru发布了新的文献求助10
21秒前
小学霸搞科研完成签到 ,获得积分10
22秒前
Lucas应助keyring采纳,获得10
23秒前
guihai发布了新的文献求助20
23秒前
23秒前
23秒前
HYC完成签到,获得积分10
25秒前
juphen2发布了新的文献求助10
25秒前
25秒前
25秒前
Lucas应助俏皮谷蓝采纳,获得10
26秒前
27秒前
Semy应助风中悟空采纳,获得10
27秒前
27秒前
LEO发布了新的文献求助10
28秒前
orixero应助Lekai采纳,获得10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Superabsorbent Polymers: Synthesis, Properties and Applications 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6351680
求助须知:如何正确求助?哪些是违规求助? 8166200
关于积分的说明 17185782
捐赠科研通 5407783
什么是DOI,文献DOI怎么找? 2862981
邀请新用户注册赠送积分活动 1840543
关于科研通互助平台的介绍 1689612