SCHRIFTENREIHE Institut für Pflanzenernährung und Bodenkunde ...
SCHRIFTENREIHE Institut für Pflanzenernährung und Bodenkunde ...
SCHRIFTENREIHE Institut für Pflanzenernährung und Bodenkunde ...
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tool for sampling strategies and for verifications of hydraulic process.<br />
Keywords: Time stability; Soil moisture; Hydraulic model; Sample strategy<br />
1. Introduction<br />
66<br />
Temporal stability of soil moisture is essential to <strong>und</strong>erstand the variability of<br />
structures and functions over an area, as well as the <strong>und</strong>erlying hydrological<br />
processes (Grayson et al., 2002; Lin et al., 2006). It is characterized by the<br />
moisture status of soils which in some areas may be consistently wetter or drier<br />
than in other areas, or compared with the average moisture content across the<br />
whole area (Vachaud et al., 1985). Therefore, the temporal stability suggests<br />
that the field mean moisture could be determined from few point measurements<br />
of time-stable sites. This aids to reduce the sampling number and frequency,<br />
thus increase sampling efficiency without a significant loss in accuracy.<br />
Using the temporal stability concept, the sampling strategy is to investigate<br />
if some locations can represent the field mean moisture and if this character can<br />
conserve during the considered period. This has been proofed by many reports<br />
(Kachanoski and de Jong, 1988; Lin et al., 2006; Parent et al., 2006), which<br />
showed that certain sampling locations represented the mean of the whole study<br />
area reasonably well. Moreover, Vachaud et al. (1985) fo<strong>und</strong> that some locations<br />
could represent the mean field water content at any time of the year. Therefore, if<br />
the time stability concept can be successfully applied, the selected points may<br />
be assumed to accurately represent the mean soil moisture beyond the<br />
measured period. However, the selection of the time-stable sampling locations is<br />
based on a posteriori information derived from previous data analysis, thus it is<br />
not really practical. Hence, an apriori approach to estimate time stable locations<br />
is of more interest from a practical view. Time-stable locations have been fo<strong>und</strong><br />
to be related to the averaged soil and plant properties, e.g. soil particle size and<br />
vegetation coverage (Vachaud et al., 1985; Hupet and Vanclooster, 2004; Starr,<br />
2005). Thus it should be possible to choose some parameters as a covariance of<br />
soil moisture for an apriori procedure to estimate time-stable locations.<br />
The high spatial variability of soil moisture and the small measurement