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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Investigating plant root effects on soil electrical conductivity: An integrated field monitoring and statistical modelling approach
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Investigating plant root effects on soil electrical conductivity: An integrated field monitoring and statistical modelling approach

机译：调查植物根系对土壤导电性的影响：综合现场监测与统计建模方法

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摘要

Plants have been shown to affect soil water content and temperature. Previous studies were conducted mainly in forestry and agricultural soils, where conditions of soil and vegetation are different from those in an urban landscape. In an urban landscape, the influence of plant roots on electrical conductivity, soil water content and temperature is still not clear. This study aims to investigate the effects of soil water content and temperature on electrical conductivity in vegetated soils through an integrated field monitoring and computational modelling approach. A new relationship between soil electrical conductivity and water content as well as temperature is proposed. Field monitoring was conducted in both vegetated (tree species) and bare soils. The monitoring included measurements of soil water content, soil temperature and soil electrical conductivity. This was followed by response surface regression modelling. Measured results show that soil temperature at shallow depths was lower in vegetated soil than that in the bare soil. This observation was also consistent with the higher soil water content and hence, higher electrical conductivity under tree canopy. The model developed could predict nonlinear relationships between electrical conductivity and soil temperature and water content. Uncertainty analysis indicated normal distribution for electrical conductivity under variation of soil temperature and water content. (c) 2018 John Wiley & Sons, Ltd.
机译：已显示植物影响土壤含水量和温度。以前的研究主要是在林业和农业土壤中进行的，其中土壤和植被的条件与城市景观中的条件不同。在城市景观中，植物根部对导电性，土壤含水量和温度的影响仍未清楚。本研究旨在通过集成现场监测和计算建模方法来研究土壤含水量和温度对植被土壤电导率的影响。提出了土壤导电性和水含量与温度的新关系。在植被（树种）和裸土中进行现场监测。监测包括土壤含水量，土壤温度和土壤导电性的测量。接下来是响应表面回归建模。测量结果表明，浅层深度下的土壤温度比裸土壤较低。这种观察结果也与土壤含水量较高，因此在树冠下的电导率较高。开发的模型可以预测导电性和土壤温度和水含量之间的非线性关系。不确定性分析表明土壤温度和水含量变化下的电导率正态分布。 （c）2018 John Wiley＆Sons，Ltd。

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