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<br />r <br /> <br />subjectivity, and judgement. It is something that <br />can only truly be learned by doing. Trust and <br />credibility are essential to the implementation of <br />IFIM, and they must appear in every application. <br />Our knowledge about rivers, biology, and human <br />nature will never be perfect, nor will our imple- <br />mentation of IFIM. We can, however, control the <br />quality of our own work. We can be craftsmen. <br /> <br />Approach <br /> <br />IFIM is an adaptive system composed of a li- <br />brary of models that are linked to describe the <br />spatial and temporal habitat features of a given <br />river regulation. In addressing a river system <br />problem, one must keep in mind the matter of <br />scale. Table 4.1 describes a river system at five <br />levels of resolution, from the river basin scale down <br />to microhabitats (similar to that offered by Frissell <br />et al. 1986). When addressing a river regulation <br />problem, it is necessary to bound the area of in flu- <br />ence and to stratify your approach so that observa- <br />tions can be expanded from the micro-scale up to <br />at least the river segment scale, if not the stream <br />network or full sub-basin scale. Most experience <br />and application of IFIM techniques have been at <br />the micro- and meso-habitat levels, focusing on one <br />or a few river segments. Consequently, the great- <br />est improvement in field techniques and the most <br />tested concepts relate to (1) river hydraulics and <br />microhabitat utilization by aquatic species and <br />(2) longitudinal analysis of water chemistry and <br />temperature through long river segments com- <br />posed of many mesohabitat types. <br /> <br />THE INSTREAM FLOW INCREMENTAL METHOLDOLOGY 23 <br /> <br />Recent emphasis on reservoir operations and <br />stream network analysis has linked habitat models <br />with engineering models for water routing and <br />reservoir storage and release (Waddle 1992). The <br />combined effects of severe ramping rates associated <br />with peaking hydropower operations and the re- <br />evaluation of large storage reservoir operations <br />have elevated the instream flow management issue <br />in the United States to the stream network and <br />even the river basin scale (Lubinski 1992; Hesse <br />and Sheets 1993). <br />A thorough understanding of the hydroperiod, <br />the water supply, and the management capabili- <br />ties is essential to IFIM studies in regulated riv- <br />ers. The most common instream flow problems <br />being addressed today throughout the United <br />States require the aggregation of habitat data at <br />the stream network or sub-basin level and focus <br />fishery managers' attention to the population <br />level. The inherent need to describe the within-ba- <br />sin movement and life history periodicity <br />(Fig. 4.1) establishes the utility of computer-based <br />modeling for tracking and summarizing informa- <br />tion throughout a stream network (Bartholow <br />et al. 1993). It is no longer sufficient to argue for <br />flows to maximize the habitat value for one life <br />stage (adult) at a few isolated spots in a river. <br />Computer simulations provide the mechanism for <br />'gaming' with various river regulation schemes. <br />Allocated water budgets for fish production and <br />decisions on storage and release from reservoirs <br />are now becoming the responsibility of the fishery <br />manager (Waddle 1991; Bartholow and Waddle <br />1994). <br /> <br />Table 4.1. Major factors influencing habitat of river ecosystems based on spatial scale of the processes. <br /> <br />Scale Major factors influencing habitat <br /> <br />River basin Climatic change; climax vegetation; geologic disturbances (earthquakes, <br />volcanos); catastrophic floods and droughts. <br />Stream network Valley gradient; local geology (natural or man-made barriers to fish migration); <br />watershed vegetation and land use activities; runoff patterns; groundwater <br />flow; soils and sediment yield; location of dams and diversions. <br />River segment (macro-scale) Longitudinal gradients of temperature and water quality; habitat types and <br />proportions (more similar within segments than among segments); canyons, <br />floodplain segments, bedrock controlled reaches, alluvial reaches, etc. Periodic <br />floods can reshape floodplain contours and reroute channels. <br />Mesohabitats (meso-scale) Unique channel width/depth ratios: Pools, runs, chutes, oxbows, cutoff <br />.backwaters, riffles, pocketwater, plunge pools, side channels, navigation pools, <br />channelized reaches. <br />Cross sections (micro-scale) Channel geometry; stage/discharge relations; substrate material distribution; <br />% fine materials; cover objects (instream, undercut banks, overhead vegeta- <br />tion, ledge rock, woody debris, root wads); depth and velocity distributions. <br />