Applying dual stable isotopes and a MixSIAR model to determine root water uptake of winter wheat

2018 ◽  
Vol 38 (18) ◽  
Author(s):  
杜俊杉 DU Junshan ◽  
马英 MA Ying ◽  
胡晓农 HU Xiaonong ◽  
童菊秀 TONG Juxiu ◽  
张宝忠 ZHANG Baozhong ◽  
...  
2021 ◽  
Vol 205 ◽  
pp. 104816
Author(s):  
Junming Liu ◽  
Zhuanyun Si ◽  
Lifeng Wu ◽  
Jinsai Chen ◽  
Yang Gao ◽  
...  

2018 ◽  
Vol 264 ◽  
pp. 119-129 ◽  
Author(s):  
Paola E. Corneo ◽  
Michael A. Kertesz ◽  
Shiva Bakhshandeh ◽  
Hero Tahaei ◽  
Margaret M. Barbour ◽  
...  

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1624 ◽  
Author(s):  
Lijian Zheng ◽  
Juanjuan Ma ◽  
Xihuan Sun ◽  
Xianghong Guo ◽  
Qiyun Cheng ◽  
...  

The future production of irrigated fruit orchards in the Loess Plateau of China is threatened by a shortage of freshwater. To improve water use efficiency under conditions where irrigation is limited, it is necessary to quantify the root water uptake (RWU) of apple trees. The RWU of apple trees was estimated under surface irrigation using water stable isotope technology and the Hydrus-1D model. Using the Romero-Saltos and IsoSource models, the stable isotopes of water in stems, different soil depths, and different precipitation were analyzed in a 5-year-old dwarfing apple orchard during two seasons 2016 and 2017. Hydrus-1D model was able to simulate the RWU of apple using the maximum coefficient of determination (0.9), providing a root mean square error of 0.019 cm3 cm−3 and a relative error of 2.25%. The results showed that the main depth of RWU ranged from 0–60 cm during the growth season, with the main contribution occurring in the 0–40 cm depth. These findings indicated that reducing the traditional surface irrigation depth will be important for improving the irrigation water use efficiency.


2020 ◽  
Author(s):  
Youri Rothfuss ◽  
Valentin Couvreur ◽  
Félicien Meunier ◽  
Hannes De Deurwaerder ◽  
Marco D. Visser ◽  
...  

<p>In the past decade, plant root water uptake (RWU) has been a major focus of ecohydrological studies employing water stable isotopes. The interest of the isotopic community for RWU rose concomitantly to the development of open-access multi-source mixing models based on Bayesian inference. Another more general reason was certainly the decrease in analytical cost with the advent of isotope-specific laser absorption spectrometry. The isotopic methodology used to determine relative profiles of RWU works on the premises that (i) RWU does not fractionate stable isotopes in water and (ii) the isotopic composition of water inside the xylem vessel of the last non-evaporating part of the plant (typically the stem) is that of RWU. Following a simple mass balance approach, the isotopic composition of RWU can be linked back by inversion to contributions to RWU (i.e., relative RWU) of a set of potential water sources (of known isotopic compositions) originating from the soil profile.</p><p>In recent research, the preferred tool for inverting water isotope data was Bayesian models and the literature shows that only a handful of studies complemented isotope analysis with observation of plant water status and flow. Consequently, most of the gathered information on RWU cannot be used to test hypotheses on which are built physically-based soil-root water flow models. The authors have on the other hand initiated an effort within the framework of dual experimental-modeling approaches, where tightly-controlled experiments are thought and prepared in order to validate, parameterize models, or test hypotheses. The present contribution gives an overview of the different attempts at integrating both water and isotope observations types and confronting them to model simulations explicitly accounting for root system architecture and hydraulic properties. It addresses the meaningfulness and limitations of isotope data, especially in the context of labeling experiments when treated with statistical (e.g. Bayesian) models. We finally propose a way forward and present improvements to be achieved on both experimental and modeling sides to increase the reliability and precision of isotope-derived estimates of RWU.</p>


2018 ◽  
Vol 215 ◽  
pp. 113-121 ◽  
Author(s):  
Huawu Wu ◽  
Jing Li ◽  
Cicheng Zhang ◽  
Bin He ◽  
Haixia Zhang ◽  
...  

2016 ◽  
Vol 15 (4) ◽  
pp. 891-906 ◽  
Author(s):  
Fei GUO ◽  
Juan-juan MA ◽  
Li-jian ZHENG ◽  
Xi-huan SUN ◽  
Xiang-hong GUO ◽  
...  

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