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HSI determination. <br />HSI = (CF x CC x CWQ2.x CR2 x COT)1/7 ~ or <br />If CwQ or CR is <_ 0.4, then the HSI_.equals the lowest of the <br />_. _... <br />following: CwQ, CR, or the above equation. , <br />Sample data sets using lacustrine-HSI model are listed in Table 3. <br />Interoretino Model Outouts <br />The proper interpretation of .the HSI produced by the models is one of <br />comparison. If two water bodies have large differences in HSI's, then the one <br />with. the higher HSI should be able: to support more catfish than the water body <br />with the lower HSI ,_, given that the model assumptions have not been violated. <br />The actual differences in-HSI that indicate-a true difference- in-carrying <br />capacity are unknown and likely to be high: We have aggregated a large number. <br />of variables into a single index-with little or no quantitative information on <br />how the variables interact to effect carrying capacity. The probability that <br />we have made an error in our assumptions on variable interactions is high. <br />However, we believe the model is a reasonable hypothesis of how the selected <br />variables interact to determine carrying capacity. <br />Before using the model, any available statistical models, such as those <br />described under model 3 in the next section, should be examined to determine <br />if they better meet the goals of model application. Statistical models are <br />likely to be more accurate in predicting the value of a dependent variable, <br />such as standing crop, from habitat related variables than the HSI models <br />described above. A statistical model is especially useful when the habitat <br />variables in the data set used to derive the model have values similar to the <br />proposed model application site. The HSI models described above may be most <br />useful when habitat conditions are dissimilar to the statistical model data <br />set or it is important to evaluate changes in variables not included in the <br />statistical model. <br />The sample data sets consist of different variable values (and their <br />corresponding SI score), which although not actual field measurements, are <br />thought to represent realistic conditions that could occur in various channel <br />catfish riverine or lacustrine habitats. We believe the HSI's calculated from <br />the data reflect what carrying capacity trends would be in riverine or lacus- <br />trine habitats with the characteristics listed in the respective data sets. <br />22 <br />