Open AccessTemporal Stability of Soil Water Contents: A Review of Data and Analyses
Author(s) -
Vanderlinden Karl,
Vereecken Harry,
Hardelauf Horst,
Herbst Michael,
Martínez Gonzalo,
Cosh Michael H.,
Pachepsky Yakov A.
Publication year - 2012
Publication title -
vadose zone journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.036
H-Index - 81
ISSN - 1539-1663
DOI - 10.2136/vzj2011.0178
Subject(s) - standard deviation , soil water , environmental science , range (aeronautics) , scale (ratio) , stability (learning theory) , statistics , temporal scales , terrain , climatology , physical geography , soil science , mathematics , geography , geology , ecology , cartography , computer science , machine learning , materials science , composite material , biology
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 R 2 ranging from 0.841 to 0.998. No relationship between SDMRD and R 2 was observed. The smallest R 2 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.