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<br />Squawfish Population Viability Analysis --July 1993 <br /> <br />Page 18 <br /> <br />Regardless of the combination of j and m values,th~ steady state <br />distribution of adult ages is constant, and follows a geometric distribution; <br /> <br />prob(Adult of age x+7) = d(1-d)(x-l) <br /> <br />where d is the death rate (= l-adulCsurvival = 0.19). The mean of such a <br />geometric distribution is theinverse of its parameter, the death rate, d. <br />The mean adult age is thus 7 plus (lId), or 12 years, which is thus the <br />generation time for population genetic considerations. If there were no <br />human harvest of Colorado squawfish, d would be lower and the <br />generation time longer. For example with d = 0.10, the generation time <br />would be 17 years. <br /> <br />1.15 Discussion of Demography <br /> <br />The foregoing analysis, based on animal age as a key independent variable, <br />worked through the largest available (i.e., computer readable) block of <br />data to arrive at a self-consistent picture of the demography and life history <br />of the Colorado squawfish. From the foundation of this demography, <br />further modeling forays can be taken into the aspects of ecology and river <br />geometry that threaten the future existence of the Colorado squawfish. It <br />would be instructive to perform an analysis based on size rather than age to <br />see if the same patterns emerge. <br /> <br />2.1 Introduction to Genetics <br /> <br />Genetics plays three different roles in a population viability analysis. First, <br />genetic differences (consistent across the genome) can help to delineate <br />separate population subregions, each of which is considered to have unique <br />value and each of which must have independent viability to be considered <br />recovered. Second, genetic analysis can sometimes be used to infer <br />important dynamical parameters, such as dispersal rates of individuals <br />between local populations. Third, an erosion of genetic variability in local <br />populations, or in the regional population, can increase extinction <br />probabilities and can even lead populations into what Qilpin and Soule <br />(1986) have termed "extinction vortices," such as a case wherein <br />environmental stochasticity exacerbates inbreedIng and inbreeding <br />depression makes the population more susceptible to environmental <br />stochasticity. <br /> <br />2.2 Current Knowledge of Squawfish Genetics <br />