Time stability of soil water storage (SWS) is the similarity of spatial patterns of soil water storage over time and is scale and location dependent due to multivariate effects of controlling factors. However, our understanding of scale and location dependency of the time stability of SWS and its seasonally dependent controls in cropped fields is inadequate. This study examined the scale and location dependent time stability of SWS at multiple depths, over different seasons in a cropped field in western Quebec, Canada. Soil water content was measured at 0.05, 0.10 and 0.20 m depths along six transects (128 locations per transect) using the actively heated fiber optic (AHFO) technique. Wavelet coherency analysis was used to examine the scale and location dependent time stability of SWS over different seasons. Results showed strong intra-seasonal time stability across all scales, locations and depths during the dry period in the summer due to a dominant control of evapotranspiration (ET). The weak inter-seasonal time stability of SWS showed the change in the dominant processes controlling the spatial patterns of SWS in different seasons. While the intra-seasonal time stability was also strong during the wet period of autumn, correlations were not significant across all scales, locations and depths, likely due to the dominant effects of smaller to medium scale processes. The results of the study clearly showed that the dominant hydrological processes controlling the time stability of SWS at different depths during a dry period in summer were different than that of a wet period in autumn. The change in the dominant hydrological processes affected the spatial scales and the locations of the similarity of the spatial patterns of SWS in the field. Therefore, the analysis outcome can be used to identify the change in the sampling domain as controlled by the hydrological processes operating at different scales and locations delivering the maximum information with minimum sampling effort.

土壤贮水量（SWS）的时间稳定性是土壤贮水量随时间变化的空间相似性，并且由于控制因素的多变量影响，其规模和位置取决于时间。但是，我们对短波红花时间稳定性及其在耕地中季节依赖性控制的规模和位置依赖性的了解不足。这项研究在加拿大魁北克省西部的一个耕地中，调查了不同季节SWS在不同深度的尺度和位置相关的时间稳定性。使用主动加热的光纤（AHFO）技术，沿着六个样点（每个样点128个位置）在0.05、0.10和0.20 m的深度处测量了土壤水分。小波相关性分析用于检查不同季节SWS的规模和位置相关的时间稳定性。结果表明，由于对蒸散量（ET）的主要控制，夏季干燥期间所有尺度，位置和深度的季节内时间稳定性均很强。SWS的淡季间时间稳定性较弱，表明控制SWS在不同季节的空间格局的主要过程发生了变化。尽管秋季的潮湿季节季节内时间稳定性也很强，但在所有尺度，位置和深度之间的相关性均不显着，这可能是由于中小型尺度过程的主导作用所致。研究结果清楚地表明，在夏季的干旱期间，控制SWS在不同深度的时间稳定性的主要水文过程与秋季的湿润时期不同。优势水文过程的变化影响了空间尺度和SWS空间模式相似性的位置。因此，分析结果可用于识别由在不同规模和位置运行的水文过程控制的采样域中的变化，从而以最小的采样工作提供最大的信息。