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946 <br />OSMUNDSON ET AL. <br />200 mm TL and longer. Because condition changes <br />monthly (Hawkins 1992), month-specific length- <br />weight relationships were developed by using the <br />1990-1994 data. Only fishes weighed with an elec- <br />tronic balance were included. Excluded from the <br />June calculations were 1994 data because we as- <br />sumed gonads matured early that year and would <br />have biased fish weights. Relative condition of <br />each fish was calculated using the month-specific <br />constants from the length-weight relationships <br />(fish not weighed with a balance and those cap- <br />tured in June 1994 were again excluded). We com- <br />pared mean condition factors between upper and <br />lower reaches within 100-mm length-classes and <br />among length-classes within reaches. <br />Relative abundance of potential forage spe- <br />cies.-Estimates of relative abundance of small <br />prey fish less than 100 mm TL were from unpub- <br />lished fall seine survey data collected for an in- <br />teragency annual monitoring program (see McAda <br />et al. 1994 for methods). We used electrofishing <br />and trammel netting to develop catch-rate indices <br />of larger prey fish (>100 mm TL) likely to serve <br />as forage for large Colorado squawfish. Electro- <br />fishing surveys were conducted from 20 April <br />through 7 July, 1993, in two or more 0.8-km sub- <br />reaches within each stratum (Table 1). The starting <br />points (rkm) for electrofishing subreaches were se- <br />lected by using a random numbers table. Within <br />each sample subreach, both shorelines were elec- <br />trofished in a downstream direction. After identi- <br />fication and length measurement, fish were re- <br />leased at the lower end of the subreach. Catch per <br />unit effort was expressed as the number caught <br />divided by the time electric current was applied, <br />as metered by the VVP-15. Numbers of each spe- <br />cies captured in trammel nets during Colorado <br />squawfish sampling were recorded during 1992- <br />1994, and CPUE was calculated as the mean num- <br />ber of fish caught per net set. <br />We developed an index of relative abundance <br />for soft-rayed fusiform fish by pooling CPUE of <br />the common species within each stratum. Spitted <br />species were excluded, as were rare species. <br />Though prey preference of Colorado squawfish is <br />unknown, soft-rayed fish were assumed to be pre- <br />ferred over spined or spiny-rayed fish, as is the <br />case with northern pike Esox lucius and muskel- <br />lunge E. masquinongy (Beyerle and Williams <br />1968; Mauck and Coble 1971; Wahl and Stein <br />1988). These two large, cool-to-warmwater, north <br />temperate piscivores have morphologies and eco- <br />logical roles similar to Colorado squawfish. Spined <br />and spiny-rayed fish are more costly, in terms of <br />both energy required for ingestion and risk of mor- <br />tality from throat or stomach puncture (Gillen et <br />al. 1981; McAda 1983). We conducted an addi- <br />tional relative abundance analysis by first parti- <br />tioning potential prey so that only soft-rayed fish <br />100-300 mm long were considered, based on the <br />assumption that Colorado squawfish can only con- <br />sume fish up to about half their own length (e.g., <br />Juanes 1994). <br />Diet.-Stomach contents of Colorado squawfish <br />captured during 1994 were examined by using a <br />Seaburg stomach sampler (Seaburg 1957) as mod- <br />ified by Gengerke et al. (1973). Back-flush tubes <br />of various diameters were used based on the size <br />of the fish. Empty stomachs were recorded in the <br />field. Stomach contents from those fish containing <br />food were preserved in 10% formalin and sent to <br />the Larval Fish Laboratory (LFL) at Colorado <br />State University for analysis. Food items were <br />identified to lowest practical taxon and measured <br />in standard length (SL), when possible; visual es- <br />timates were made of the percentage of total vol- <br />ume of stomach contents contributed by each tax- <br />on. The `aggregate percent method' (Swanson et <br />al. 1974) was used to calculate an overall percent <br />volume for each food item for those fish containing <br />food. <br />Temperature.-Main channel temperatures <br />(nearest 0. VC) were monitored at sites within stra- <br />ta 1, 3, 5, 6, and 7 and at two sites upstream of <br />stratum 7 (Cameo and Rulison, Colorado) in a <br />reach historically used by Colorado squawfish but <br />presently unoccupied due to the long-term effects <br />of three instream barriers that block migrations <br />(Figure 1). At five sites, thermographs (Ryan In- <br />struments, Redmond, Washington) were deployed <br />and downloaded twice yearly. Data from stratum <br />5 and Cameo were collected by the U.S. Geolog- <br />ical Survey at the Colorado-Utah state line and <br />Cameo gauging stations, respectively. Mean daily <br />values were calculated from readings taken every <br />2 h. <br />We compared temperature indices for growth <br />among thermograph sites for the 1992-1996 pe- <br />riod to measure spatial variation in thermal regime <br />suitability along the river continuum. We derived <br />these indices by using an approach developed spe- <br />cifically for Colorado squawfish by Kaeding and <br />Osmundson (1988) in which mean daily temper- <br />atures are converted to values relative to the max- <br />imum potential (1.0) for growth at the optimum <br />temperature (25°C); these thermal units are then <br />summed to provide an annual value.