Technical Abstract: Soil invertebrates were surveyed in forage fields at Auburn and Grove Hill, AL by acoustic monitoring and traditional excavation procedures in 1997 and 1998. For this report, recordings from sampled sites were analyzed by computer and by listeners with previous training in identification of subterranean sounds. The computer analysis discriminated soil invertebrate sounds from background noise by matching individual sound pulses with spectral profiles derived from validated samples from each survey. Sound pulses produced by white grubs and other large soil invertebrates often could not be distinguished from each other; consequently, in comparing acoustic and excavation assessments, all sound-producing organisms were pooled into a single, noisemaker category. Relationships between sound rates and noisemaker counts were analyzed by first transforming the original assessments into categorized (discretized) variables, i.e., low, medium, or high likelihoods of noisemakers, or below- or above-threshold pulse rates. In the Grove Hill-1997 survey, noisemaker pulse rates were not high enough above the background noise level to establish a significant relationship between sound activity and infestation. In the Auburn-1997, Auburn-1998, and Grove Hill-1998 surveys, however, significant relationships were found between noisemaker counts and likelihoods rated by listener- and computer-based acoustic methods. Geostatistical analysis of the Auburn-1998 survey found a significant correlation (R2 = .41) between kriged (spatially interpolated) estimates of above-threshold pulse rates and noisemaker counts. These results clarify initial findings of a significant correlation between log-transformed pulse rates and log-transformed noisemaker counts in the Auburn-1997 survey but neither Grove Hill survey.