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<br />Squawfish Population Viability Analysis --July 1993 <br /> <br />Page 31 <br /> <br />adults per river kilometer for the Green River. This is not a very high <br />number. And it is certainly much reduced from the period prior to human <br />harvest. Early historical evidence suggests the presence of much larger <br />adult fish and greater densities. These were large enough that for at least <br />ashort period of time the population could support a commercial harvest. <br /> <br />Based on historical accounts of catch, squawfish densities have been much <br />greater. For sake of argument, say they were 10 times greater. What <br />would this reduction be due to? We know that there are a number of <br />things that have negatively impacted the Colorado squawfish: harvesting, a <br />reduced prey base, exotic competitors and predators, modified flow <br />regimes, and so forth. <br /> <br />If one had a carrying capacity function ('carrying capacity' in this context <br />really means the equilibrium density in the presence of a set of ecological <br />forces) of the following form: <br /> <br />K(harvest, flow regime, exotics, barriers, depensation effects,...) <br /> <br />and if one had a quantification of the different impacts, then one could <br />possibly allocate to the different disturbances their relative contribution to <br />the endangerment of the Colorado squawfish. This would be <br />straightforward if only a single factor had any real importance. Multiple <br />causation makes the allocation of blame less precise, and it also allows for <br />nonlinearities and interaction effects. That is, ,a flow regime alteration <br />could have caused a 10% decline and exotics could also caused a 10% <br />decline if each were considered in isolation. But jointly there could be an <br />interaction that caused an overall 40% decline. <br /> <br />Knowledge of the K(.) function would be invaluable for recovery <br />planning. If some goal were established for increased abundance, it would <br />be possible to adjust independently the variables to achieve the most cost <br />effective solution. <br /> <br />Figure 3.2 shows the reduction of total population density due to human <br />disturbance. It is assumed that there is a function of the form: <br /> <br />N(t+l) <br /> <br />= <br /> <br />R(N(t)) + surv*N(t) = F(N(t)), <br /> <br />where R(.) is the density dependent recruitment function, surv is the per <br />time step adult survival rate, and under this relationship the equilibrium <br />obtains for densities at which N(t+ 1) = N(t). <br />