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Time-intensive geoelectrical monitoring under winter wheat

机译:冬小麦下的近期电气监测

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Several studies have explored the potential of electrical resistivity tomography to monitor changes in soil moisture associated with the root water uptake of different crops. Such studies usually use a set of limited below-ground measurements throughout the growth season but are often unable to get a complete picture of the dynamics of the processes. With the development of high-throughput phenotyping platforms, we now have the capability to collect more frequent above-ground measurements, such as canopy cover, enabling the comparison with below-ground data. In this study hourly direct-current resistivity data were collected under the Field Scanalyzer platform at Rothamsted Research with different winter wheat varieties and nitrogen treatments in 2018 and 2019. Results from both years demonstrate the importance of applying the temperature correction to interpret hourly electrical conductivity data. Crops which received larger amounts of nitrogen showed larger canopy cover and more rapid changes in electrical conductivity, especially during large rainfall events. The varieties showed contrasted heights although this does not appear to have influenced electrical conductivity dynamics. The daily cyclic component of the electrical conductivity signal was extracted by decomposing the time series. A shift in this daily component was observed during the growth season. For crops with appreciable difference in canopy cover, high-frequency direct-current resistivity monitoring was able to distinguish the different below-ground behaviours. The results also highlight how coarse temporal sampling may affect interpretation of resistivity data from crop monitoring studies.
机译:几项研究探索了电阻率断层摄影的潜力,以监测与不同作物的根水吸收相关的土壤水分变化。这些研究通常在整个生长季中使用一套有限的地面测量测量,但通常无法获得过程动态的完整图像。随着高吞吐量表型平台的开发,我们现在具有更频繁地收集的地上测量,例如顶篷覆盖,从而实现与地下数据的比较。在本研究中,在2018年和2019年的不同冬小麦品种和氮气治疗的Rothamsted研究下,在Field Scanalyzer平台下收集了每小时直流电阻率数据。两年的结果证明了应用温度校正来解释每小时电导率数据的重要性。接受较大量氮的作物显示出较大的顶篷覆盖,以及导电性的更快变化,特别是在大雨事件中。这些品种表现出对比度的高度,尽管这似乎没有影响电导率动态。通过分解时间序列提取电导率信号的日常循环分量。在生长季期间观察到该每日成分的转变。对于具有明显差异的遮篷覆盖差异的作物,高频直流电阻率监测能够区分不同的地下行为。结果还突出了粗略的时间采样如何影响来自作物监测研究的电阻率数据的解释。

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