Resolution of the total evidence (i.e., character congruence) versus consen
sus (i.e., taxonomic congruence) debate has been impeded by (1) a failure t
o employ validation methods consistently across both tree-building and cons
ensus analyses, (2) the incomparability of methods for constructing as oppo
sed to those for combining trees, and (3) indifference to aspects of trees
other than their topologies. We demonstrate a uniform, distance-based appro
ach which allows for comparability among the results of character-and taxon
omic-congruence studies, whether or not an identical suite of taxa has been
included in all contributing data sets. Our results indicate that total-ev
idence and consensus trees differ little in topology if branch lengths are
taken into account when combining two or more trees. In addition, when char
acter-state data are converted to distances, our method permits their combi
nation with information produced by techniques which generate distances dir
ectly. Moreover, treating all data sets or trees as distance matrices avoid
s the problem that different numbers of characters in contributing studies
may confound the conclusions of a total-evidence or consensus analysis. Our
protocol is illustrated with an example involving bats, in which the three
component studies based on serology, DNA hybridization, and anatomy imply
distinct phylogenies. However, the total-evidence and consensus trees suppo
rt a fourth, somewhat different, topology resolved at all but one node and
which conforms closely to the currently accepted higher category classifica
tion of Chiroptera. (C) 1999 Academic Press.