<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
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