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<br />" <br /> <br />.' <br /> <br />Society and the American Society of Civil Engineers set the stage for this endeavor to couple <br />management-oriented aquatic science with the physical mechanics of water flow in stream channels. <br />From the outset a fundamental tenet of the evolution of in stream flow methodology was that <br />something simpler (less mathematical) and more intuitive (to field personnel working for <br />management agencies) than full-blown ecosystem simulation was needed. As a consequence, the <br />methodology has tended to focus on economically important fishes and their habitat "preferences" <br />as determined by flow. This should not be surprising since a primary objective of wildlife and <br />fisheries management for decades has been to protect and enhance species-specific habitats in order <br />to maximize canying capacity, and hence, maximize harvest of surplus biota. <br />The first widely used methods were entirely based upon the fact that below some flow <br />threshold, physical habitat becomes limiting to fish and other stream biota during some part of their <br />life cycle. The most commonly used of these is the "Montana" method (rennant 1975 and various <br />modifications, see Wesche and Rechard 1980 for review) which attempts to relate perceived <br />problems, though rarely quantified (my observation, but also see Morhardt 1986), of the regulated <br />flows to the historical flow regime that occurred on the average. This approach to habitat <br />optimization, though still widely used (Reiser et al. 1989a), does not consider the importance of <br />flow variation and its complex relationship to channel geomorphology described above. <br /> <br />Statistical Approaches <br />Many studies have attempted, with widely varied success, to statistically relate some <br />measures of the biophysical attributes of rivers and streams to the disturbance effect of flow <br />variation. Most of these studies are basic science where the intent was to document aspects of the <br />structure and function of stream ecosystems with respect to flow changes. Much of the work was <br />focused on demonstration of relationships between the distribution, abundance and behavior of <br />aquatic biota and important physical variables using various regression and multivariate analyses in <br />natural (regulated situations compared to unregulated controls) and experimental designs <br />(experimental manipulations designed to simulate flow effects) (cf., Kroger 1973, Reice 1985, <br /> <br />46 <br />