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Last modified
7/14/2009 5:02:31 PM
Creation date
5/22/2009 7:29:13 PM
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UCREFRP
UCREFRP Catalog Number
7760
Author
Beyers, D. W., R. T. Muth and M. S. Farmer.
Title
Experimental Evidence of Competition Between Larvae of Colorado Squawfish and Fathead Minnow.
USFW Year
1994.
USFW - Doc Type
\
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Discussion <br />Symmetry of competition <br />Patterns of distribution and abundance of organisms may depend on the <br />relative importance and intensity of intraspecific and interspecific <br />competition. The symmetry of these interactions is of interest because <br />effects of one may outweigh those of the other under certain <br />circumstances (Underwood 1986). In this experiment, effects of intraspecific <br />exploitative competition were accounted for by using regression to describe a <br />density-dependent relation between growth and feeding regime in single-species <br />assemblages, and then subtracting these effects from the response of relative <br />growth in mixed-species assemblages. Thus, interpretation of interspecific <br />effects was simplified because d and the index of competitive ability only <br />reflect effects of interspecific competition. Several authors have argued <br />that competition is usually not symmetrical and that one species is typically <br />more affected than the other (Lawton and Hassell 1981; Connell 1983; <br />Schoener 1983; but, see Underwood 1986). This experiment showed that <br />competitive effects between Colorado squawfish and fathead minnow were <br />asymmetrical, and that negative effects were greater and more frequent for <br />Colorado squawfish than for fathead minnow. <br />It is uncertain why the outcome of competition varied and fathead minnow <br />were superior in only seven of nine mixed-species experimental treatments. <br />The most likely explanation we have presented, attributes variable outcome of <br />the experiment to our inability to compensate for mortality of study fish. <br />Alternatively, statistical sensitivity to number of replicates, variability of <br />data, and selected level of significance may have contributed to low <br />statistical power and an inability to detect experimental treatment effects. <br />17 <br />
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