数字农科院2.0

Structural Equation Modeling Of Soil Moisture Effects On Evapotranspiration Of Maize In The North China Plain

文献类型： 外文期刊

作者： 秦安振;宁东峰;刘战东;赵犇;肖俊夫;段爱旺

作者机构：

关键词： Crop Water Use; Principal Components Analysis; Structural Equation Modeling; Path Analysis; Zea Mays L

期刊名称： NATIONAL ACADEMY SCIENCE LETTERS-INDIA

ISSN： 0250-541X

年卷期： 2020 年 43 卷 3 期

页码：

收录情况： JCR（2021版）

摘要： Relationships between crop evapotranspiration (ET) and soil water content (SWC) have been studied worldwide. However, traditional data processing has drawbacks in modeling the contribution of SWC to ET on a layer-to-layer basis. To address this issue, large-scale weighing lysimeters were used to monitor the real-time ET along with Insentek sensors to monitor daily SWC dynamics of summer maize at Xuchang Experimental Irrigation Station, North China Plain, in 2016 and 2017. At the vegetative stage of maize (V6 and V12), roots reached 70 cm deep, with an average root length density (RLD) of 0.55 cm cm(-3). Mean RLD at reproductive stage (VT and R3) was 1.13 cm cm(-3), and the roots reached 100 cm deep. Cumulative percentage of ETi to ET in topsoil (0-30 cm) was from 66% (V6) to 77% (R3), with the lowest proportion of 62% at maturity (R6), indicating > 2/3 of root mass distributed in the 0-30 cm soil layer. Principal component analysis was conducted to extract principal components of SWC. Soil moisture in the top (0-30 cm), middle (30-60 cm), and deep (60-100 cm) soil layers explained 8%, 14%, and 31% of the variances in ET (P < 0.05). Positive linear correlation was observed between ET and SWC in top and middle layers, while SWC in deep layer showed negative relationship with ET, which was mainly due to the gravitational forces acting on it. These findings support the premise that SWC in deep soil layer also has important effects on ET.

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