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<br />9 <br /> <br />as an arbitrary starting date. This was presumed biologically relevant to <br />Yampa River fishes since April is the normal ice break-up period and beginning <br />of increased flows, temperature and low-velocity habitat. It was presumed <br />SPAWNl and SPAWNT may also be highly correlated. The correlation between CPUE <br />and FO and between SPAWN1 and SPAWNT were also examined. <br /> <br />Flow indices in May, June and July were selected for analysis because this <br />time period is most influenced by high spring flows, and was presumed critical <br />as an early determinant of spawning success and YOY abundance. For each <br />month, peak discharge (PEAK), average daily discharge (AVG), and total monthly <br />discharge (TOT) were determined from USGS gage records. These flow indices <br />for each month were selected on the basis that each may have a different <br />effect on spawning success, but recognizing that the flow indices were highly <br />correlated themselves. Flow indices for each month were examined versus <br />species abundance indices to reflect potential differences in spawning and <br />nursery habitat requirements for each species over the three month period. <br />How peak discharge, average daily discharge, and total monthly discharge <br />influence flushing flows, spawning habitat maintenance, and availability of <br />spawning or nursery habitat relative to each species is uncertain, but <br />presumed to differ. The four biological indices were also compared with <br />cumulative degree-days estimates for the Yampa River each year. Cumulative <br />degree-days were used as an index of the rate of warming in the annual <br />temperature regime of the Yampa River. Degree-days were estimated using <br />Maybell gage temperature data for 1981-1984 only. Even though this gage is <br />located approximately 48 km upstream of the study area, this was the most <br />continuous data available and presumed useful due to a probable direct and <br />positive relationship with mainchannel water temperatures downstream, and with <br />low-velocity habitats associated with the mainchanne1.This data was compared <br />with water temperature data taken at seine sample sites to confirm this <br />presumption. For May, June, and July each year, the number of days in which <br />the maximum water temperature reached l6C, l8C and 20C were determined (16DD, <br />18DD, and 20DD, respectively). As a cumulative index, the number of 16DD, <br />18DD, and 20DD degree-days determined for May were added to those determined <br />for June to represent June values and June values were added to July estimates <br />to determine July values. These temperature categories were selected to <br />represent the range of temperatures most affected by variable spring flows in <br />May through July. The onset of each of these temperature levels would be <br />influenced by the magnitude and timing of peak spring flows, thus affecting <br />the rate of warming in the Yampa River at the Maybe11 gage and downstream. <br />Correlations between flow and temperature indices for each month were also <br />examined. <br /> <br />In summary, four biological indices (CPUE, FO, SPAWNl, SPAWNT) were <br />compared in a correlation matrix with three flow indices (PEAK, AVG, TOTAL) <br />for each of three months (MAY, JUNE, JULY). CPUE and FO were estimated for <br />each of five river reaches within the study area as well as a seasonal total <br />for each year. SPAWNl and SPAWNT were yearly estimates only. Seasonal <br />estimates of CPUE and FO, and SPAWNl and SPAWNT were also compared in a <br />correlation matrix with three temperature regime indices (16DD, l8DD, 20DD) <br />for each of the three months. Results were interpreted on the basis of two <br />criteria. Correlation coefficients were significant at P<0.05 for n-2 degrees <br />of freedom. A correlation coefficient was considered strong if "r" was s.0.10 <br />