globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-473-2017
Scopus记录号: 2-s2.0-85010821974
论文题名:
Benchmarking test of empirical root water uptake models
作者: Dos Santos M; A; , De Jong Van Lier Q; , Van Dam J; C; , Bezerra A; H; F
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:1
起始页码: 473
结束页码: 493
语种: 英语
Scopus关键词: Transpiration ; Akaike information criterion ; Eco-hydrological models ; Empirical parameters ; Environmental conditions ; Hydraulic parameters ; Plant transpiration ; Root length density ; Statistical indices ; Forecasting ; Akaike information criterion ; benchmarking ; compensation ; data processing ; ecohydrology ; empirical analysis ; environmental conditions ; evapotranspiration ; prediction ; root system ; water uptake
英文摘要: Detailed physical models describing root water uptake (RWU) are an important tool for the prediction of RWU and crop transpiration, but the hydraulic parameters involved are hardly ever available, making them less attractive for many studies. Empirical models are more readily used because of their simplicity and the associated lower data requirements. The purpose of this study is to evaluate the capability of some empirical models to mimic the RWU distribution under varying environmental conditions predicted from numerical simulations with a detailed physical model. A review of some empirical models used as sub-models in ecohydrological models is presented, and alternative empirical RWU models are proposed. All these empirical models are analogous to the standard Feddes model, but differ in how RWU is partitioned over depth or how the transpiration reduction function is defined. The parameters of the empirical models are determined by inverse modelling of simulated depth-dependent RWU. The performance of the empirical models and their optimized empirical parameters depends on the scenario. The standard empirical Feddes model only performs well in scenarios with low root length density R, i.e. for scenarios with low RWU "compensation". For medium and high R, the Feddes RWU model cannot mimic properly the root uptake dynamics as predicted by the physical model. The Jarvis RWU model in combination with the Feddes reduction function (JMf) only provides good predictions for low and medium R scenarios. For high R, it cannot mimic the uptake patterns predicted by the physical model. Incorporating a newly proposed reduction function into the Jarvis model improved RWU predictions. Regarding the ability of the models to predict plant transpiration, all models accounting for compensation show good performance. The Akaike information criterion (AIC) indicates that the Jarvis (2010) model (JMII), with no empirical parameters to be estimated, is the "best model". The proposed models are better in predicting RWU patterns similar to the physical model. The statistical indices point to them as the best alternatives for mimicking RWU predictions of the physical model. © Author(s) 2017.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79283
Appears in Collections:气候变化事实与影响

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作者单位: Luiz de Queiroz, College of Agriculture, University of São Paulo, Piracicaba (SP), Brazil; Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba (SP), Brazil; Department of Environmental Sciences, Wageningen University, Netherlands

Recommended Citation:
Dos Santos M,A,, De Jong Van Lier Q,et al. Benchmarking test of empirical root water uptake models[J]. Hydrology and Earth System Sciences,2017-01-01,21(1)
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