干旱区生态环境知识资源中心(Arid): CSM-CERES-Wheat Sensitivity to Evapotranspiration Modeling Frameworks under a Range of Wind Speeds

Arid

DOI	10.3390/w14193023
	CSM-CERES-Wheat Sensitivity to Evapotranspiration Modeling Frameworks under a Range of Wind Speeds
	Nouri, Milad; Hoogenboom, Gerrit; Bannayan, Mohammad; Homaee, Mehdi
通讯作者	Nouri, M
来源期刊	WATER
EISSN	2073-4441
出版年	2022
卷号	14 期号:19
英文摘要	Crop modeling uncertainty is expected to be high under weather data limitations; thus, jeopardizing decision-making on food-water security. Missing near-surface wind speed (u(2)) data required to accurately estimate reference evapotranspiration (ETo) seemed to significantly affect both the potential evapotranspiration (ETP) and yield simulations for data-scarce windy regions. In this study, the uncertainty in crop modeling based on different ETP approaches was assessed. In this regard, wheat yield and evapotranspiration were simulated with the CSM-CERES-Wheat model using either the Priestley-Taylor/Ritchie (PT) or the Penman-Monteith DSSAT (PM) methods under rain-fed, low-nitrogen stress, rain-fed, high nitrogen stress, full irrigation, low nitrogen stress, and full irrigation, high nitrogen stress scenarios for a u(2) range from 0.8 to 3.5 m s(-1). The daily weather data required to run the model were retrieved from 18 semi-arid areas located in western Iran. The statistically significant differences in mean yield and cumulative distribution were determined by the non-parametric Wilcoxon signed-rank and the Kolmogorov-Smirnov tests, respectively. The deviation in evaporation and transpiration simulated by applying PT and PM was lower under rain-fed condition. Under rain-fed, low-nitrogen stress, the PT-simulated yield deviated significantly (p < 0.05) from PM-simulated yield by more than 26% for the sites with u(2) above 3 m s(-1). The deviation in ETP estimates did not, however, lead to statistically significant difference in yield distribution curves for almost all sites and scenarios. Nitrogen deficiency resulted in a smaller difference in yield for rain-fed condition. The yield results showed a deviation below 6% under full irrigation condition. Under windy rain-fed condition, high deviation in leaf area index (LAI) and ETP estimates caused a large difference in the actual transpiration to potential transpiration ratio (T-a/T-P), and yield. However, the deviation between PT- and PM-simulated LAI and T-a/T-P for the full irrigation scenarios was less than 6%. Overall, the results from this study indicate that when soil moisture is depleted, resembling rain-fed condition, simulation of yield appears to be highly sensitive to the estimation of ETP for windy areas.
英文关键词	crop modeling data limitation water-nitrogen stress water-limited regions
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000867292300001
WOS关键词	CLIMATE-CHANGE ; SOLAR-RADIATION ; WATER DYNAMICS ; CROP GROWTH ; MAIZE MODEL ; YIELD ; IRRIGATION ; IMPACT ; UNCERTAINTY ; CALIBRATION
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394834
推荐引用方式 GB/T 7714	Nouri, Milad,Hoogenboom, Gerrit,Bannayan, Mohammad,et al. CSM-CERES-Wheat Sensitivity to Evapotranspiration Modeling Frameworks under a Range of Wind Speeds[J],2022,14(19).
APA	Nouri, Milad,Hoogenboom, Gerrit,Bannayan, Mohammad,&Homaee, Mehdi.(2022).CSM-CERES-Wheat Sensitivity to Evapotranspiration Modeling Frameworks under a Range of Wind Speeds.WATER,14(19).
MLA	Nouri, Milad,et al."CSM-CERES-Wheat Sensitivity to Evapotranspiration Modeling Frameworks under a Range of Wind Speeds".WATER 14.19(2022).