Data from vertebrate microsites are important in paleoecological reconstructions, but their usefulness has been limited because of undemonstrated repeatability of sampling data and the time- and labor-intensive nature of their retrieval. Re-examination of a previously studied vertebrate microsite revealed that repeatable diversity and abundance data are obtainable using a controlled sorting methodology. It was found that a curve fitted to a plot of empirical diversity vs. sampling frequency will tend toward an asymptote as sampling frequency increases, indicating that the likelihood of discovery of new taxa having a major impact upon a paleoecological interpretation is diminishing. Rarefaction analysis was applied to the data obtained, and the rarefaction curve provided support for the behavior of the empirical diversity curve. It was also found that as sampling frequency increases, rank orders of relative abundance stabilize among the most common taxa in the sample, indicating that the likelihood of discovery of highly abundant taxa is diminishing. Adequate sampling of a vertebrate microsite can thus be achieved by dividing the original field sample into many small subsamples, and additively plotting diversity and relative abundance data. Once the diversity curve begins to tend toward an asymptote, and the abundance ranks among the most common taxa have stabilized, it is necessary to continue sampling only until double this number of subsamples has been analyzed in order to confirm the established patterns. Proceeding in this fashion will verify that ostensible exhaustion of the taxa present has been achieved. Standardization of sampling methodology will allow similarly compiled data to be compared, both from a single site and among multiple sites, improving the reliability of palaeoecological interpretations generated from vertebrate microsites.