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WILLIS, MURPHY, AND GUY REVIEWS IN FISHERIES SCIENCE <br />V. STOCK DENSITY INDEX CORRELATIONS <br />A. SINGLE SPECIES CORRELATIONS <br />An appropriate question concerning the use of stock density indices is whether they <br />reflect the density and dynamics of fish populations. In some situations, the answer <br />is certainly yes (Table 3). As the density of a population increases, the PSD tends <br />to decrease -especially after the population reaches carrying capacity. However, <br />low PSD also can occur at low population density because of problems with poor <br />habitat, food supply, or angler overharvest (Gabelhouse, 1984a). As growth in- <br />creases, there is a tendency for PSD to increase. As total annual mortality increases, <br />there is a tendency for PSD to decrease. In situations where recruitment is high <br />enough to result in overpopulation, PSD values will be low. Where recruitment is <br />low enough that populations remain below carrying capacity, PSD can be high. <br />These relationships are most likely to be found in similar environments in single <br />geographic areas. Good examples are provided by the Central States Small Impound- <br />ment Work Group (formerly Central States Pond Management Work Group) studies <br />on largemouth bass and bluegills (Novinger and Legler, 1978; Reynolds and Babb, <br />1978) and largemouth bass and crappies (Gabelhouse, 1984b). Those studies were <br />completed in similar environments (small impoundments) in a specific region of the <br />U.S. (midwest). Guy and Willis (1990) noted that largemouth bass PSD (r = 0.86, p <br />= 0.0002) and RSD-P (r = 0.70, p = 0.009) were correlated with mean length of <br />largemouth bass in South Dakota ponds. <br />Variations in factors such as productivity and growing season also can preclude <br />establishment of a clear relationship between stock density indices and population <br />parameters. In fact, these factors also may help explain the wide variability found <br />in the relationships reported in Table 3. Coefficients of determination typically are <br />low, and much variability in the relationships is unexplained. <br />Based on modeling results, Carline et al. (1984) suggested that PSD increased <br />linearly with survival, but increased curvilinearly with growth. Willis and Scalet <br />(1989) found that curvilinear regressions provided a better fit for PSD and growth <br />of northern pike; however, the improvement in correlation coefficients was <br />slight. <br />8. PREDATOR-PREY RELATIONSHIPS <br />Another question concerning the use and interpretation of stock density indices <br />revolves around the possible inverse relationship between size structure of predator <br />and prey populations. We have summarized the correlations between predator and <br />prey size structure that we are aware of in Table 4. All the examples deal with <br />largemouth bass as the predator species. In small impoundments, largemouth bass <br />PSD tends to decline as bass density increases. As largemouth bass density increases, <br />predation on "panfish" tends to increase. Therefore, panfish PSD tends to increase <br />as largemouth bass density increases and an inverse relationship between PSD of <br />predator and prey species results. <br />Carline et al. (1984) suggested that the likelihood of an inverse relationship <br />declined as impoundment size increased and fish community complexity increased. <br />212 <br />