Modeling and Analysis of Rice Root Water Uptake under the Dual Stresses of Drought and Waterlogging

Jie Huang, Wei Dong (), Luguang Liu, Tiesong Hu, Shaobin Pan, Xiaowei Yang and Jianan Qin
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Jie Huang: Hubei Water Resources Research Institute, Wuhan 430070, China
Wei Dong: Hubei Water Resources Research Institute, Wuhan 430070, China
Luguang Liu: Hubei Water Resources Research Institute, Wuhan 430070, China
Tiesong Hu: State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
Shaobin Pan: Hubei Water Resources Research Institute, Wuhan 430070, China
Xiaowei Yang: Hubei Water Resources Research Institute, Wuhan 430070, China
Jianan Qin: Hubei Water Resources Research Institute, Wuhan 430070, China

Agriculture, 2024, vol. 14, issue 4, 1-19

Abstract: The development of an accurate root water-uptake model is pivotal for evaluating crop evapotranspiration; understanding the combined effect of drought and waterlogging stresses; and optimizing water use efficiency, namely, crop yield [kg/ha] per unit of ET [mm]. Existing models often lack quantitative approaches to depicting crop root water uptake in scenarios of concurrent drought and waterlogging moisture stresses. Addressing this as our objective; we modified the Feddes root water-uptake model by revising the soil water potential response threshold and by introducing a novel method to calculate root water-uptake rates under simultaneous drought and waterlogging stresses. Then, we incorporated a water stress lag effect coefficient, φ W s , that investigated the combined effect of historical drought and waterlogging stress events based on the assumption that the normalized influence weight of each past stress event decreases with an increase in the time interval before simulation as an exponential function of the decay rate. Further, we tested the model parameters and validated the results obtained with the modified model using data from three years (2016–2018) of rice ( Oryza sativa , L ) trails with pots in Bengbu, China. The modified Feddes model significantly improved precision by 9.6% on average when calculating relative transpiration rates, particularly post-stress recovery, and by 5.8% on average when simulating soil moisture fluctuations during drought periods. The root mean square error of relative transpiration was reduced by 60.8%, and soil water was reduced by 55.1%. By accounting for both the accumulated impact of past moisture stress and current moisture conditions in rice fields, the modified model will be useful in quantifying rice transpiration and rice water use efficiency in drought–waterlogging-prone areas in southern China.

Keywords: root water uptake; soil water potential; combined effect; drought and waterlogging; relative transpiration (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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