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The laboratory analysis conducted on the Colorado soil samples included EC" SAR, boron, saturation percentage, soil pH, relative % water content, and a full soil cation and anion analysis. Some pertinent summary statistics concerning these variables are given for each field in tables 1,2,3, and 4. Note that these tables list information about the distribution statistics, soil chemistry, and chemical correlation matrix for each field. The means, standard deviations, and quantile estimates for the sample salinity, SAR, boron, and SP data for each sampling depth are displayed under distribution statistics. The mean and standard deviation of the sample pH levels are displayed under the soil chemistry heading, along with the % cation proportions (again for each sample depth). The chemical correlation matrix displays the joint correlation structure between the depth-averaged In(salinity), In(SAR), In(boron), pH, SP, and relative % water content sample data. Figures 1 through 4 display plots of the In(salinity) data versus the In(SAR), In(boron), and SP data for fields 1 through 4, respectively. Note that the data shown in figures 1 through 4 are the same data that the chemical correlation estimates are based on. Some of the pertinent sample information for each field contained in tables 1-4 and figures 1-4 is summarized below: Field 1. Field 2. Field 3. The sample salinity data displayed extremely little variation across the field. In the 0-30 cm depth, all the soil salinity samples fell between 4.5 and 6.8 dS/m. The most variability occurred in the 60-90cm depth; the salinity values at this sampling depth ranged from 5.6 to 10.2 dS/m (again, relatively minimal variation). Likewise, the SAR and boron data also showed relatively little spatial variation. The average SP levels were around 60%, and both the means and standard deviations increased with depth. Note that the sample salinity and SAR levels were highly correlated, and that the salinity appeared to be somewhat positively correlated with soil texture (SP) and negatively correlated with the relative % water content. Both the mean and standard deviation of both the sample soil salinity and SAR levels increased with depth in field 2. Both the salinity and SAR levels were high enough in this field to be problematic. The boron levels were minimal, but the SP data appeared rather variable. The salinity and SAR were again highly correlated. However, there appeared to be no correlation between soil texture and salinity, and only weak positive correlation between salinity and water content. The salinity and SAR levels were much lower in field 3, as compared to field 2. Again, however, both tended to increase with depth. As with field 2, the SP levels were quite variable,; and the salinity / SAR correlation was quite high. Unlike field 2, there appeared to be no correlation between salinity and water content, and moderate positive correlation between salinity and SP. There also happened to bel reasonably strong negative correlation between salinity and boron in this field (which is unusual).