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For all datasets we found negative linear relationships between the coefficient of variation and the mean soil moisture, indicating lower spatial variability at higher mean soil moisture.
This information will help in selecting the optimal methods for estimation the area mean soil moisture.
Numerous approaches have been developed to identify optimal sites for predicting mean soil moisture.
The mean soil moisture of the 20 grids/points before rainfall is 9.3% and after rainfall is 15.1%.
These sandy soil zones were delineated based on their bioclimatic characteristics, aridity, mean soil moisture content and precipitation.
Skewness exhibited a decreasing pattern with increasing mean soil moisture contents and kurtosis exhibited the U-shaped relationship.
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The temporal stability analysis allowed to identify the grassland site as the most representative of the catchment-mean soil moisture behavior (coefficient of determination, R2 = 0.96).
At the late sampling date in 2009, population-mean soil moisture was positively correlated with mean leaf number (r = 0.848, P = 0.002), mean inflorescence number (r = 0.880, P ≤ 0.001) and mean reproductive output (r = 0.864, P ≤ 0.001); and negatively correlated with mean population density (r = 0.576, P = 0.081).
More precipitation caught at the mountain peak should mean more soil moisture migrating down the slopes.
Hilltop and steep slope locations consistently underestimated mean field soil moisture.
Figure 2 Daily mean of soil moisture content, converted into water filled pores space at the three eddy covariance sites.
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