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<br />in!.! habitat value~ are mcallin~lcss dUrIng the other lllollth~ <br />be-cause the lilc st:lge IS not rresclll durin~ those months <br />Juvenile and lIdult habllat. how('\'Cr. IS needcd throughOlIl <br />the year for a resident fish sUl.:h as the rainbow trout. Com,e- <br />que~tly, hydrologic timc series of monthly or daily values <br />are needed for fishery studies. as opposed to the average <br />annual flow values often used by water managers. <br /> <br />Effective Spawning and Incubation <br /> <br />Much research has been conducted on the size of gravel <br />needed for spawning and the hydraulic conditions needed <br />for redd building. Criteria for describing adequate depth. <br />velocity, substrate, and percent fines in the interstitial <br />spaces are available for several riverine salmonid species <br />McMahon 1983; Baldrige and Amos 1981; Hickman and <br />Raleigh 1982; Raleigh et a!. 1983, 1984; Raleigh and Nel- <br />son 1985). Computer programs have been written to track <br />the hydraulics above specified micro areas on river beds <br />from the spawning through the incubation period (Milhous <br />1982a; Bovee 1985). From output ofthe PHABSIM micro- <br />habitat model. one can identify specific areas within a <br />stream reach suitable for spawning. Even though spawning <br />may have been successful in a given area of streambed, five <br />events may occur that render it useless: (l) dewatering for <br />2 wk or longer during incubation; (2) freezing of embryos <br />in shallow water; (3) scour - the resuspension of suitable <br />size spawning gravel and its removal from the site; (4) depo- <br />sition of fine materials within the interstitial spaces of the <br />redd during the incubation period; and (5) movement of the <br />redd gravels during the fry emergence period. <br />The effective spawning and incubation program simulates <br />the hydraulic conditions over each of the suitable spawning <br />areas for the several months of the incubation period and <br />identifies the amount of the spawning area that is still intact <br />at the computed time of hatching and emergence. Use ofthis <br />program requires information about near bottom velocities <br />that result in scour and deposition, and the depths at which <br />dewatering or freezing occurs. The quantity of suitable <br />microhabitat is determined by computing the surface areas <br />having suitable conditions for both spawning and incubation <br />for the period from spawning to hatching for each year in <br />the time series. This can be repeated with simulated flow <br />time series for a proposed water regulation scheme, and <br />comparisons made. A variation of this type of analysis is <br />possible when flow can be controlled by releases from a <br />reservoir throughout the spawning and incubation period. <br />Figure 9 shows a nomograph constructed for various incu- <br />bation flows at a specified set of spawning flows in the Ter- <br />ror River, Alaska. From such nomographs, the best <br />combination of spawning and incubation conditions can be <br />determined for the amount of water that is forecasted to be <br />available for management during a specific year. <br />Use of these engineering techniques, coupled with biolog- <br />ical criteria makes it possible to illustrate impacts of alterna- <br />tive water management schemes. This capability can also be <br />applied to real-time fishery management decisions. Water <br />managers typically forecast water supply 1 to 6 months in <br />the future and compare this with existing storage and the <br />projected water supply and demand. The fishery manager <br />can be effective, using the tools described here, and the <br />forecasting capabilities of the water management engineers, <br />to suggest that specific flows be maintained during the <br /> <br />..-., <br /> <br />8 <br /> <br />, <br />E <br /> <br />_____65.00 <br />6 <br />~:J___ <br />t>--..... .~ 02.86 <br /> <br />I o~ "'. 1.71 <br />.. "'" <br />./' ~ 01.14 <br />c: t <br /> <br />o - <br /> <br /> <br /> <br />.~~~ <br /> <br /> <br />· .43 <br /> <br />C\I <br />E <br /> <br />7 <br /> <br />- <br /> <br /><<l <br />Q) <br />.... <br /><( <br />Cl <br />C <br />C <br />;: <br /><<l <br />C. <br />(/) <br />Q) <br />> <br /> <br />6 <br /> <br />5 <br /> <br />- <br />o <br />Q) <br />- <br />- <br />W <br /> <br />4 <br /> <br />3 <br />o <br /> <br />3 <br /> <br />6 <br /> <br />9 <br /> <br />Spawning Flow (m3. 5 -1 ) <br /> <br />FIG, 9. The relation between effective spawning habitat area for <br />pink salmon (Oncorhynchus gorbuscha) and spawning flow for <br />specified incubation flows in Terror River. Alaska. Numbers at the <br />end of each curve show incubation flow (from Milhous 1982a). <br /> <br />spawning season that are biologically compatible with the <br />anticipated water supply during the incubation and hatching <br />season. A common observation in rivers having uniform <br />gravel bottoms is that fairly high flows during the spawning <br />season result in the spawners building redds high up on the <br />stream cross-section near the margins of the stream. Subse- <br />quently, if water supply drops, it may become impossible <br />to maintain flows over these redds during the entire incuba- <br />tion period. If this could be forecasted, a better management <br />scheme would be to reduce the flow during the spawning <br />period, forcing the spawners lower into the channel where <br />it is more probable that flows can be maintained during the <br />incubation period. In other streams where spawning gravels <br />may be limiting and control is feasible, the flow necessary <br />to provide adequate conditions over the limited gravel bars <br />can easily be computed and specified. <br /> <br />Temperature Analysis <br /> <br />It is well known that the length of the incubation period <br />for salmonids is variable and is predominantly determined <br />by the temperature of the water during the incubation <br />period. The degree day accumulation (above a specified <br />threshold temperature) for hatching has been well estab- <br />lished for many salmonids (Piper et al. 1982). By using the <br />degree-day output from a macrotemperature simulation one <br />can derive the phenology of a species to determine the time <br />of spawning, duration of incubation. and emergence. A <br />hydrologic time series is used as input into the temperature <br />model to yield degree-day simulations for various flow reg- <br />ulation schemes. For a particular species, the incubation <br />period and hatching time is computed from the temperature <br /> <br />23 <br />