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1 <br /> <br /> <br /> <br />1 <br />a function of the independent variables: predator TL, prey TL, (predator TL)2, (prey TL)2, <br />predator feeding strategy, water clarity, alternative prey, and second-order interactions. <br />red shiners exhibited different levels of predation that were not related to their size. We assumed <br />Predator feeding strategy was included as a predictor variable because each of the f ve groups of <br />these different behaviors represented the range of feeding strategies that were employed by <br />' groups of red shiners in the natural environment. A global model was fit using the method of <br />maximum likelihood, and model selection was by AIC. Model selection suggested that the best <br />' predictors of attack rate were prey TL, predator feeding strategy, water clarity, and alternative <br />' prey. Attack rate increased with larval size and was independent of red shiner size. Larger <br />' larvae- may be attacked more often than small ones because they aze more active and visible to <br />predators and because they aze energetically more profitable (Litvak and Leggett 1992, Bertram <br />' 1996). Cleaz water and the absence of alternative prey each increased attack rate 2-3-fold <br />' relative to conditions with turbid water or alternative prey present. The attack-rate equation had <br />the form: <br />1 <br /> <br />y = - 4.75 + 0.147•x, + 0.909•x2 + 1.157•x3 - 0.439 fs~ + 0.1036 fs2 - 4.45 fsj - 1.88 fs4 <br />(4) <br /> <br /> <br /> <br /> <br /> <br />where: y =loge ((number of attacks• m2)• (larva• red shiner• 6 hour)'') <br />x, =prey TL, <br />x2 = 1 if water is clear; 0 if water is turbid, <br />x3 = 1 if alternative prey is absent; 0 if present, <br />fs, = 1 if simulating the feeding strategy of predator group 1; else = 0, <br />fs2 = 1 if simulating the feeding strategy of predator group 2; else = 0, <br />15 <br /> <br />