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2003 period. Differences in survival rates over time may be useful to interpret trends in <br />population abundance. <br />We used Pradel's model (Pradel 1996) to estimate 1, the finite rate of population change, <br />which is defined as: <br />7X; = N; +,1N; = ?r +f, <br />where Nis population size at time i or i + 1, O; is survival rate, and f is the number of fish <br />recruited to the population at time i per adult in the population at time i. A Xj value less than one <br />indicated a declining population, Ii > 1 indicated an increasing population, and I; of 1 indicated a <br />stable population. Functionally, the Pradel model is similar to the Jolly-Seber model used to <br />predict survival rates but uses the capture history in reverse order to predict the probability of <br />entering the population (Nichols et al. 2000). A main assumption of this model is that study area <br />size is constant over the sampling period, which precluded the use of capture data from other <br />ISMP reaches in some years. Global models that fit parameters (p, S, X) for all years and river <br />reaches were compared with models with a reduced parameter set. The AIC, for small samples <br />was used as a guide in model selection. We were careful to guard against overfitting models <br />with the sometimes sparse data available for some reaches or rivers and focused on those that <br />gave reasonable estimates of parameters that were critical to understanding the status of Colorado <br />pikeminnow in the Green River Basin. <br />24 <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />• <br />•