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Sensitivity and uncertainty analysis of wheat cultivar parameters of the DSSAT model under different water and N treatments

文献类型： 外文期刊

作者： Gao, Shikai 1 ; He, Pengcheng 1 ; Gong, Xuewen 1 ; Li, Hao 2 ; Liu, Yihao 1 ; Wang, Qian 1 ; Wang, Xiaomeng 1 ; He, Aofeng 1 ; Fu, Yuliang 1 ;

作者机构： 1.North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450045, Peoples R China

2.Chinese Acad Agr Sci, Inst Farmland Irrigat, Xinxiang 453002, Peoples R China

关键词： Sensitivity analysis; Uncertainty analysis; DSSAT model; Parameterization

期刊名称：SCIENTIFIC REPORTS （ 影响因子：3.9； 五年影响因子：4.3 ）

ISSN： 2045-2322

年卷期： 2025 年 15 卷 1 期

页码：

收录情况： SCI

摘要： This work aims to quantify the extent to which the cultivar parameters in the DSSAT model affect the simulation output at different water and N application levels. To be specific, the extended Fourier amplitude sensitivity test (EFAST) method is used to analyze the global sensitivity and uncertainty of the cultivar parameters on the physiological indices output from the crop growth model under six different treatments. According to the test results, P5 and P1D are the varietal parameters most sensitive to aboveground dry matter and dry matter nitrogen fertilizer utilization; G2, G1, and P1D are the varietal parameters most sensitive to yield and maximum nitrogen at maturity; P1D and P1V are the varietal parameters most sensitive to the maximum leaf area index and dry matter water utilization. Due to the dual stresses of water and nitrogen, there is a significant decrease in the sensitivity of the parameters, with a greater impact caused by water stress treatments. Moreover, uncertainty is introduced to examine the effect of differences among treatments on model simulation. It is discovered that the uncertainty of these parameters is minimized at 200 kg/hm2 of N treatment with or without water stress. Therefore, the best simulation results are obtained at this level of nitrogen application. To sum up, this study provides crucial support for the parameterization and popularization of the DSSAT model under different water and N management treatments.

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