SCHRIFTENREIHE Institut für Pflanzenernährung und Bodenkunde ...

Chapter 3 Factors controlling spatio-temporal variability of soil moisture using multivariate geostatistics
water status was shown to have limited influence on the controlling factors, as
discussed previously, all SWC data were averaged for individual plots.
Semivariance
Semivariance
2.5x10 -3
2.5x10 -3
2.0x10 -3
2.0x10 -3
1.5x10 -3
1.5x10 -3
1.0x10 -3
1.0x10 -3
7.0x10 -3
6.0x10 -3
5.0x10 -3
4.0x10 -3
3.0x10 -3
2.0x10 -3
1.0x10 -3
Soil moisture
0 20 40 60 80 100 120 140
Soil moisture vs SOC
0 20 40 60 80 100 120 140
Distance(m)
Semivariance
0.0 0.0
-8.0x10 -4
-8.0x10 -4
-1.6x10 -3
-1.6x10 -3
-2.4x10 -3
-2.4x10 -3
-3.2x10 -3
-3.2x10 -3
0.0
-8.0x10 -4
-1.6x10 -3
-2.4x10 -3
-3.2x10 -3
Soil moisture vs sand content
0 20 40 60 80 100 120 140
0 20 40 60 80 100 120 140
Distance(m)
Soil moisture vs BD
Fig. 3.4. Semiariograms and cross-semivariograms maps of soil variables and models for the
linear Model of Coregionalization exemplified by UG 99. SOC: soil organic carbon (g kg -1 ), BD:
bulk density (g cm -3 ).
The coregionalization modeling for the soil variables was carried out for
sand content, SOC and bulk density only, since they showed the strongest
correlations with SWC compared to other soil variables (Table 4). The LMC was
fitted using three spatial structures: nugget effect (random;