Temporal Stability of Soil Water Contents: A Review of Data and Analyses
Temporal Stability of Soil Water Contents: A Review of Data and Analyses
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DOI：
10.2136/vzj2011.0178
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发表时间：
2012-11
影响因子：
2.8
通讯作者：
K. Vanderlinden;H. Vereecken;H. Hardelauf;M. Herbst;G. Martínez;M. Cosh;Y. Pachepsky
中科院分区：
文献类型：
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作者：
K. Vanderlinden;H. Vereecken;H. Hardelauf;M. Herbst;G. Martínez;M. Cosh;Y. Pachepsky
土壤含水量（SWC）的时间稳定性（TS）已在广泛的空间和时间尺度上得到观察。然而，关于 TS SWC 控制因素的证据仍然是矛盾的或不存在的。这项工作的目标是对评估 TS SWC 的方法进行首次全面审查，并展示和分析已发布数据的清单。对 37 篇出版物中 157 个图表的平均相对差 (MRD) 数据和相关标准差 (SDRD) 进行的统计分析表明，MRD (SDMRD) 的标准差呈随规模增加的趋势，正如预期的那样。 MRD 一般服从高斯分布，R2 范围为 0.841 至 0.998。没有观察到 SDMRD 和 R2 之间的关系。最小的 R2 值主要出现在负偏态和 platykurtic MRD 分布中。提出了一种新的时间稳定 SWC 场统计模型。对 TS SWC 七个测量、地形和气候相关潜在控制因素的已发表数据的分析表明，控制因素的影响相互交织，而不是单一的主导因素。这就需要重点研究测量设计、地形、土壤、植被和气候对 TS SWC 的相互作用和影响。提出的研究途径将有助于更好地理解 TS 现象并最终识别潜在机制。
Temporal stability (TS) of soil water content (SWC) has been observed throughout a wide range of spatial and temporal scales. Yet, the evidence with respect to the controlling factors on TS SWC remains contradictory or nonexistent. The objective of this work was to develop the first comprehensive review of methodologies to evaluate TS SWC and to present and analyze an inventory of published data. Statistical analysis of mean relative difference (MRD) data and associated standard deviations (SDRD) from 157 graphs in 37 publications showed a trend for the standard deviation of MRD (SDMRD) to increase with scale, as expected. The MRD followed generally the Gaussian distribution with R2 ranging from 0.841 to 0.998. No relationship between SDMRD and R2 was observed. The smallest R2 values were mostly found for negatively skewed and platykurtic MRD distributions. A new statistical model for temporally stable SWC fields was proposed. The analysis of the published data on seven measurement‐, terrain‐, and climate‐related potentially controlling factors of TS SWC suggested intertwined effects of controlling factors rather than single dominant factors. This calls for a focused research effort on the interactions and effects of measurement design, topography, soil, vegetation and climate on TS SWC. Research avenues are proposed which will lead to a better understanding of the TS phenomenon and ultimately to the identification of the underlying mechanisms.