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<br />, <br /> <br />- <br />E <br />E <br />......... <br /> <br />1000 <br />900 <br />800 <br />700 <br />600 <br />500 <br />400 <br />300 <br />200 <br />1100 <br />1000 <br />900 <br />800 <br />700 <br />600 <br />500 <br />400 <br />300 <br />200 <br />o <br /> <br />.c: <br />..... <br />0) <br />c: <br />Q) <br />CO <br />..... <br />~ <br /> <br />693 <br /> <br />GROWTH AND SURVIVAL OF COLORADO SQUAWFISH <br /> <br />Il!I!!fllllmlffi~lII~ <br />IIIl 1l11111!lll <br />11111 <br /> <br />A <br /> <br />lllllllllll!!! III ~ Illlllll~ I <br />Jlllllll!111 <br />l <br /> <br />B <br /> <br />, <br /> <br />5 10 15 20 25 30 35 40 45 50 55 <br /> <br />Age (years) <br /> <br />FIGURE 4.-Lengths from Monte Carlo simulations <br />using (A) size-specific growth rates as shown in Tables <br />I and 2 and (B) constant growth rate for fish 550 mm <br />TL and longer (see Table 2). Bars represent lengths of <br />95% of fish of each age-group. <br /> <br />Differences in size distribution were, however, <br />present between fish (~550 mm) caught in tram- <br />mel nets and by electrofishing. The only data set <br />with comparable periods and reach of capture for <br />both methods was in 1994 in a section (rk 246- <br />275) of the upper reach. Captures by electrofishing <br />(N = 13) included significantly (P = 0.016) more <br />large fish than by trammel netting (N = 21), a bias <br />consistent with observations of others (see Reyn- <br />olds 1983). Although we could not test if distri- <br />butions of fish caught by trammel nets were rep- <br />resentative of the population, we assumed they <br />were because fish were confined and actively <br />trapped, thereby reducing or eliminating possibil- <br />ities for size selectivity (i.e., differential trap shy- <br />ness, escapement ability, or susceptibility to elec- <br />tric fields). Survival estimates were therefore cal- <br />culated for fish 550 mm and longer from trammel- <br />net data only. <br />Estimates.-For 1991-1994 data combined, <br />suitable survival rates varied from 0.83 to 0.87 (P <br /> <br />50 <br /> <br />40 <br /> <br />A <br /> <br />30 <br /> <br />20 <br /> <br />",,11111111111 <br /> <br />(i) 10 <br />L- <br />as <br />Q) <br />~ <br />Q) <br />0) <br /><( <br /> <br />o <br /> <br />50 <br /> <br />B <br /> <br />40 <br /> <br />30 <br /> <br />20 <br /> <br />",,11111111111 <br /> <br />10 <br /> <br />o <br />400 <br /> <br />500 600 700 800 900 1000 <br />Total length (mm) <br /> <br />FIGURE 5.-Simulated range of estimated ages for <br />Colorado squawfish of given length. Simulations used <br />(A) size-specific growth rates as shown in Table 2 or <br />(B) an assumed constant growth rate for fish 550 mm <br />TL and longer. Bars in both graphs represent ages of <br />95% of fish of each length group. <br /> <br />< 0.05). Only a narrow range of estimates was not <br />significantly different from the measured distri- <br />bution, even with P < 0.001 (Figure 6). The best <br />fit for the measured distribution was for a survival <br />rate of 0.85 (Figure 7). Similar but broader ranges <br />of survival were estimated for individual years, <br />largely a reslllt of smaller sample sizes. All years <br />combined produced a range of suitable survival <br />rates that narrowed to 0.82-0.87 (Table 3). For a <br />growing or declining population with a stable age <br />distribution, the effect on survival rate would be <br />a change of = 1.0% for each 1.0% in population <br />increase or decrease (Table 4). Estimated survival <br />rates were the same when growth rates for fish 550 <br />mm and longer used in calculation of stable length <br />distributions varied by fish size (as in Table 2) or <br />when assumed to be constant (as in Figure 4b). <br />Twenty simulations of stable age distributions that <br />used different random-number sequences pro- <br />duced identical suitable survival rates and nearly <br />identical K-S d-value statistics. <br />