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<br /> <br />DOUGLAS ET AL.-COLORADO RIVER CHUBS <br /> <br />titative characters, but rather to demonstrate <br />that under specific conditions, researchers can <br />be relatively confident in the use of qualitative <br />characters for field identification of these fishes. <br />Of most importance to the endangered species <br />manager is the rapid and reliable identification <br />of species, not the means whereby that identi- <br />fication is accomplished. <br />The marked success of qualitative rankings <br />in segregating these taxa (Fig. 3) is based on the <br />inherent information content of the character <br />type. By this we mean that qualitative rankings <br />are not single characters (as are the quantitative <br />ones), but in fact are multi-variable, depicting <br />overall variation within body regions critical to <br />separation of species of Colorado River Gila <br />(e.g., skull, mouth/snout, caudal peduncle, and <br />so forth). Although anatomical regions (espe- <br />cially like the nuchal hump) are composed of <br />numerous separate characters, the regions <br />themselves may not be amenable to standard <br />methods of quantification (Hubbs, 1946; Smith <br />et aI., 1979). Also, individual characters that <br />comprise these regions may not be particularly <br />informative when evaluated independently and <br />separately. This, in fact, may be why the quan- <br />titative characters were unable to successfully <br />separate taxa. Qualitative data provided a clear <br />separation because ran kings succinctly sum- <br />marized discriminating anatomical regions. The <br />. separation was maintained in spite of alteration <br />in scale of the data (Fig. 3B), but diminished <br />(although remaining) when two important sca- <br />lation features were deleted (Fig. 3C). We will <br />examine use of these and other qualitative fea- <br />tures in future studies of the G. robusta complex. <br />Does this mean that G. cypha and G. robusta <br />cannot be discriminated by using quantitative <br />morphometric data? No. Previous work using a <br />variety of morphometric characters collected <br />from preserved specimens has accomplished this <br />separation (Smith et aI., 1979; Bookstein et aI., <br />1985). We demonstrate that under restrictions <br />of this study, in which a variety of personnel <br />collected data for a limited number of charac- <br />ters in a brief time on living fishes under field <br />conditions, two forms could not be clearly sep- <br />arated on the basis of the quantitative charac- <br />ters used (Fig. 4). In this regard, a morpho- <br />metric analysis of these (and other) populations <br />of Gila will require two things. First, clear and <br />unambiguous quantification must be accom- <br />plished of those critical anatomical regions sum- <br />marized by our qualitative data (this, in part, <br />has already been attempted by Smith et aI., <br /> <br />1979). Second, a means of collecting reliable <br />quantitative data on live specimens must be de- <br />veloped, which allows uninjured release after <br />handling and manipulation. <br />From our perspective, some confusion <br />shrouding identification of problematic Gila <br />hinges on apparent misunderstanding of the <br />populational nature of natural selection (a sta- <br />tistical concept). The conservative nature of <br />fisheries science, with reliance on an idealized <br />morphological archetype to represent a species, <br />contributes substantially to this problem. Vari- <br />ation within and between populations and <br />species must be recognized as a natural phe- <br />nomenon amenable to statistical analysis, rather <br />than an infrequent occurrence to be either re- <br />defined or dismissed. The recent assimilation <br />of population genetics into fish management <br />(Vrijenhoek et aI., 1985; Ryman and Utter, <br />1987) may, in fact, encourage a more theoret- <br />ical and evolutionary expansion of this applied <br />and traditional science. <br />How do our results agree with more theo- <br />retical studies of the perceptual basis of phe- <br />netic grouping? Sokal and Rohlf (1980), in a <br />rather surprising result, noted that the majority <br />of participants in their taxonomic experiment <br />generated classifications that could be accu- <br />rately predicted a priori by analyzing only 4-5 <br />characters of the total of 86 defined. This re- <br />stricted data set represented subtle features of <br />the Caminalcules not particularly obvious in an <br />initial inspection of the imaginary organisms, <br />but which contributed greatly to discrimina- <br />tion. These conclusions argue strongly that the <br />great majority of observers in the Sokal-Rohlf <br />experiment were evaluating Caminalcules not <br />in a univariate (or single character) sense, but <br />rather in a multivariate (e.g., multi-variable) <br />manner, using what many would term "gestalt" <br />in the sense of Goethe (a view of the whole <br />organism; Blackith and Reyment, 1971; Mayr, <br />1982). The assessment of different character <br />states by our technicians enabled species of Gila <br />to be separated through multivariate statistical <br />comparisons, the same kinds of comparisons that <br />either a systematist or non-systematist uses in <br />visually separating taxa or other categories of <br />objects through step-wise, conscious or uncon- <br />scious decisions based on combinations of char- <br />acters. <br />Our results indirectly support those of Moss <br />(1971), who indicated that the ability to group <br />organisms or to recognize characters, at least <br />at the phenetic level, is an eminently human <br /> <br />659 <br />