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Standard errors for river-wide estimates were obtained from the variance-covariance matrix of <br />the likelihood from program MARK. Probability of annual transition for each reach (r&.) was <br />estimated; the low frequency of transitions between sampling passes conducted in a single year <br />did not warrant occasion-specific Vls. <br />Abundance of Colorado pikeminnow in each reach was estimated with the Huggins <br />model estimator (Huggins 1989, 1991; Alho 1990). Abundance estimates from the Huggins <br />model were derived by the equation K, llp', where M,+ , is the number of unique animals <br />captured over all short-term sampling occasions and: <br />P pi), <br />t <br />where p; is the probability of initial capture within the annual sampling season. Animals in the <br />population that were never captured have capture probability (1 -p)" but are conditioned out <br />(removed from) of the likelihood. The new multinomial distribution still sums to one, and <br />because only fish that were captured are included in the likelihood, individual covariates (here <br />TL or polynomials for such) were incorporated to estimate p, Or, and S, where appropriate. <br />Estimates ofp* are derived with information from both the closed-captures portion of the <br />likelihood used for abundance estimation and from the Cormack-Jolly-Seber (CJS) component of <br />the model used to estimate annual survival rates across all reaches. With the additional <br />information provided about p* from the CJS portion of the likelihood, the individualp's per pass <br />within the annual sampling period are identifiable based on the numbers of fish initially captured <br />during each sampling pass within a year. Thus, we could calculate abundance estimates for river <br />reaches and years where no animals were recaptured between passes within a single year. <br />21