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Gmean CPE for Colorado squawfish in each reach was correlated with flow pazameters that <br />occurred in that reach for that year. Gmean CPE and mean total length of Colorado squawfish were <br />correlated with accumulated temperature units for the yeaz to evaluate relations between abundance or <br />growth and temperature. Average high flow was correlated with accumulated temperature units to <br />examine the effect of runoff on river wazming. <br />Habitat use of YOY Colorado squawfish was evaluated using independent t-tests, analysis of <br />vaziance (ANOVA), and simple correlation. Independent t-tests compazed differences in water <br />temperature (actual temperature of the backwater as well as temperature difference between the <br />backwater and the main channel), backwater surface azea and maximum depth of backwaters that <br />contained at least one YOY Colorado squawfish with backwaters that did not contain any. <br />Histograms compazing the relative distribution of all types of backwaters sampled with the relative <br />distribution of backwaters that contained at least one Colorado squawfish were developed. CPE in <br />backwaters that contained Colorado squawfish was correlated with backwater temperature, backwater <br />size, and maximum depth to evaluate correlations among the different pazameters. ANOVA was used <br />to compaze differences in gmean CPE among four categories of the pazameters mentioned above. <br />The backwaters were split into the four categories based on the distribution of each parameter over <br />the course of the monitoring program. Each of the four categories roughly corresponded to 25% of <br />all observations of this parameter over the 7 yeazs. These categories aze: maximum depth (cm)- <br />< 35, 35 to 49, 50 to 76, and > 76; surface area (rr~- < 350, 350 to 649, 650 to 1349, and > 1349; <br />temperature (°C)-9-15, 16-19, 20-23, and 24-32; and temperature difference (°C; only three <br />categories were used)--5 to -1, 0 to +3, and +4 to + 18. Significant differences identified with <br />ANOVA were further evaluated with Tukey's HSD (honestly significant difference) procedure. All <br />analyses were partitioned by reach and year to avoid confounding results by differences in abundance <br />among yeazs and reaches. All data manipulations and analyses were performed with dBASE and <br />SYSTAT softwaze packages. <br />Results <br />River Flows and Water Temperatures <br />River flow was highest in 1986 of all years sampled during ISMP (Table D-1; Figures D-1 <br />through D-6) in both the Green and Colorado rivers. Flow peaked at 34,100 cfs in the lower <br />Colorado River and 35,400 cfs in the lower Green River (Table D-1). Runoff was almost as high in <br />the Colorado River in 1987 (30,500), but was considerably reduced in the Green River in 1987 <br />(13,600). Maximum river flow in the Colorado River in subsequent years was 14,300 in 1988, 9,670 <br />in 1989, 12,200 in 1990, 18,400 in 1991, and 17,100 in 1992. Yearly maximum flow in the Green <br />River from 1988 through 1992 was 16,900, 7,840, 11,000, 12,400, and 10,700 respectively. Flows <br />throughout each yeaz, including the fall sampling period, generally followed the same pattern as <br />spring runoff. Flows were highest in 1986, lowest in 1989, and somewhere in the middle during <br />other yeazs (Tables 2, B-2, and D-1). <br />Water temperatures in both the Green and Colorado rivers generally reflected the runoff patterns <br />established during spring. Warming was slow in 1986 because the large volume of runoff delayed <br />wazming (Table B-3) and faster during the lower water yeazs. Accumulated temperature units were <br />negatively correlated with average high runoff (mean of flows 15 days before and 15 days after the <br />highest flow of the yeaz) except for temperatures exceeding 20°C in Reach 2. As would be expected <br />because of increased exposure to warmer air temperatures as the water moved downstream, river <br />7 <br />