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<br />r <br /> <br /> 100 <br />'0 90 <br />CD 80 <br />'0 <br />CD 70 <br />CD <br />u <br />)( 60 <br />CD <br />CD 50 <br />E 40 <br />:;::: <br />- 30 <br />0 <br />~ 20 <br />0 <br /> 10 <br /> 0 <br /> 0.0 3.1 <br /> <br />I...... <br /> <br />....p~...... ..~~~/~~~.. <br />OjflCt With mil' . . .... <br />'Qallon '. <br /> <br /> <br />..-.-----------!'!_oJ~____________.~ ... <br />. <br />,. <br />': <br /> <br />6.2 9.3 12.4 15.5 18.621.724.827.931.0 <br /> <br />Units of available habitat <br /> <br />Fig. 2.5. Duration analysis of habitat available under <br />baseline conditions, with-project, and after <br />mitigation of project. <br /> <br />present about 90% of the time under the baseline <br />condition, but only 15% of the time under the <br />with-project condition. <br />An extension of these incremental, project-bar- <br />gaining methodologies leads to predicting popula- <br />tion responses to flow changes (Cheslak and Jacob- <br />son 1990; Bartholow et al. 1993). In an approach <br />such as IFIM, these predictions will typically re- <br />quire hydrologic analyses, habitat models, sedi- <br />ment transport, water quality, and temperature <br />analyses, as well as trophic level studies, validation <br />of species criteria, studies of biomass, and popula- <br />tion dynamics (Bovee 1982). <br />An alternative to combining these models into <br />a predictive methodology would be long-term em- <br />pirical observations offish behavior. Such studies <br />would document population responses to carefully <br />controlled changes in flow over perhaps 20 years. <br />Recent research on the South Platte River, Colo- <br />rado, by Bovee (1988) demonstrated the rigorous <br />analysis required to show the relation between <br />flow and population. Bovee's work highlights that <br />these relations can be established in theoretically <br />sound, intuitively satisfying directions. We have <br />already seen (Fig. 2.4) the form that these popu- <br />lation responses to changes in flow over time are <br />likely to take. <br /> <br />Conclusion <br /> <br />Several instream flow quantification procedures <br />are commonly used. The Tennant Method and wet- <br />ted perimeter technique are widely used in the <br /> <br />THE INSTREAM FLOW INCREMENTAL METHOLDOLOGY 15 <br /> <br />early stages of planning throughout the country. <br />The wetted perimeter and conceptually similar ap- <br />proaches, concentrating on passage for upstream <br />migrating salmon, are important first-cut analyti- <br />cal tools. The PHABSIM method is commonly used <br />as a way to look at hydroelectric power projects <br />(Bovee 1985), to set standards for controversial <br />streams (Washington Department of Ecology <br />1987), and to develop conditions on federal permits <br />and licenses (Cavendish and Duncan 1986). The <br />PHABSIM method is sometimes used in very com- <br />plex problems (Olive and Lamb 1984), but care <br />must be taken to consider several intervening vari- <br />ables. IFIM is appropriate for the most controver- <br />sial project assessments (Fig. 2.6; Trihey and Stal- <br />naker 1985). <br />Naturally, all of this experience with instream <br />flow technology has led to a literature of evaluation <br />and criticism. In particular, useful insights into <br />choosing and employing instream flow assessment <br />technologies were provided by Wesche and Re- <br />chard (1980), Bain et al. (1982), Orth and <br />Maughan (1982), Loar (1985), Morhardt (1986), <br />and Gore and Nestler (1988). <br />In conclusion, experience and the critical litera- <br />ture teach that there is simply no one best way. The <br />choice of method or methodology depends on the <br />circumstances. Literally dozens of approaches, <br />models, and tools have been used, each developed <br />to satisfy a specific need. To establish the necessary <br />flow, the analyst must know the history and pur- <br />pose of these techniques and must use this knowl- <br />edge to make an informed choice of the best process <br />to follow. <br /> <br />Incremental vs. Standard Setting <br />Problems <br /> <br /> <br />Complexity <br />of decision <br /> <br />Complexity <br />of system <br /> <br />Fig. 2.6. Spectrum of problem-solving methodologies. <br />