Laserfiche WebLink
<br />1 <br />1 <br /> <br /> <br /> <br /> <br />1 <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br />6-hour period. This quantity was estimated by conducting laboratory studies in which red <br />shiners were offered a surplus of chironomid larvae prey. Mean maximum consumption of <br />Colorado squawfish larvae in a 6-hour period was approximately i 0% of red shiner body mass. <br />The number of larvae used in each trial varied from 15 for the lazgest larvae to 227 for the <br />smallest. In alternative prey trials, an equal mass of Colorado squawfish larvae and chironomid <br />larvae were used such that the total mass of prey did not exceed 90% of red shiner maximum <br />ration. Generally, 25 to 100 chironomid larvae (0.005 to 0.01 g each) were added. At the <br />conclusion of a trial, predators were captured and remaining larvae and alternative prey were <br />recovered from pools by washing sediment and straining pool contents through fine-mesh nets. <br />Recovered fish larvae were counted, and chironomid larvae- were weighed to determine red <br />shiner consumption. Preliminary trials showed that in 5 of 5 cases, the removal protocol <br />recovered all 25 10-mm fish larvae and chironomids released into mesocosms. <br />The response variable measured for each mesocosm trial was number of larvae eaten. To <br />estimate the number of attacks that occurred in a trial, this quantity was divided by its respective <br />size-dependent capture probability from equations 2 and 3. For example, if ten larvae were eaten <br />and probability of capture was 0.25, then 10 • (0.25)'' = 40 attacks must have occurred. The <br />estimated total number of attacks in each trial was then sealed to <br />(number of attacks• m2)~(larva• red shiner day)-' where day was defined as being 14-hours long <br />which approximates the daylight period during summer in the Colorado River Basin. <br />Data from 69 pool trials was analyzed with a general linear model that assumed a Poisson <br />distribution of the responses because most observations were at or neaz zero with relatively few <br />large values. The data were used to estimate a statistical model that predicted loge(attack rate) as <br />14 <br /> <br />