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1 <br /> <br /> Discrete measurements of water velocity were not made; instead, visual assessments were <br /> made of the speed of water passing over the position of a located razorback sucker. Swift <br /> current was defined as being equal to the channel current. Slow current was defined as <br /> regions of no current or current that was visually estimated to be less than 2 km/hr. The <br /> category of moderate current was given to current other than swift or slow. The depth of <br /> the water where a razorback sucker was located was estimated by approaching as close to <br /> the fish as possible and lowering a 3-m-long, incremented oar into the water until it <br /> touched bottom or until the entire oar was beneath the surface. Water depth was placed <br /> into three categories: <1.2, 1.2 to 3, and >3 meters. <br /> Equipment Performance <br /> The ability of the ATS receiver to detect transmitter signals was affected by various <br /> factors. First, the effective range of the transmitter was more than doubled by efforts to <br /> eliminate static interference generated by the outboard engine. The receiver was placed <br /> into a large army-surplus rocket box. Next, the power supply was changed from running <br /> off of the boat's battery to a small motorcycle battery that was also placed inside of the <br /> rocket box. And finally, the whip antenna was mounted on the bow so as to maximize its <br /> distance from the outboard engine. After making these modif cations, shallow water <br /> detections improved from 100 to 250 m to an average of 700 to 1000 m, with maximum <br /> detection ranges often approaching 1.7 km. <br /> <br /> Even with the increase in receiver erformance dee si nals >5 m remained difficult to <br />P ~ p g <br /> detect due to signal attenuation. Razorbacks in the deepest portion of the channel were <br /> usually detected at less than 300 m. Since the boat was operated at a constant speed of <br /> 350 m/minute, and the receiver was able to scan all of the tag frequencies in a single <br /> minute, it was unlikely that many tags were missed during the monitoring. Additionally, <br />all surveys were "round-trip," so each portion of surveyed river was scanned for tagged <br /> razorbacks twice each trip. Very rarely were tagged razorbacks not detected on the initial <br /> leg and later detected on the return trip. <br /> Data Analysis <br /> The condition factor, a "plumpness" index, was calculated for each razorback sucker <br /> using the equation K = [weight(grams)* 100]/[length(mm)']. A regression analysis was <br /> performed on the condition factors to determine if there was a significant positive or <br /> negative relationship between K and either length or weight. This analysis was <br /> performed on Excel `97. Next, atwo-tailed t-test was utilized to determine if razorback <br /> suckers that utilized backwater habitat had significantly different condition factors than <br /> the suckers that were not observed to utilize backwaters. The t-test was performed on <br /> Excel `97. Finally, three separate 3-factor ANOVAs were performed to determine if the <br /> condition factor of a fish would influence its selection of a particular habitat type, current <br /> 7 <br /> <br />