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Title: Relative effects of survival and reproduction on the population dynamics of emperor geese
Author(s): Schmutz, J., R. Rockwell and M. Petersen
Citation: J. Wildl. Manage. 61:192-202
Year: 1997
Abstract: Populations of emperor geese (Chen canagica) in Alaska declined sometime between the mid-1960s and the mid-1980s and have increased little since. To promote recovery of this species to former levels, managers need to know how much their perturbations of survival and/or reproduction would affect population growth rate. We constructed an individual-based population model to evaluate the relative effect of altering mean values of various survival and reproductive parameters on growth rate and fall age structure (AS, defined as the proportion of juv), assuming additive rather than compensatory relations among parameters. Altering survival of adults had markedly greater relative effects on growth rate than did equally proportionate changes in either juvenile survival or reproductive parameters. We found the opposite pattern for relative effects on AS. Due to concerns about bias in the initial parameter estimates used in our model, we used 5 additional sets of parameter estimates with this model structure. We found that estimates of survival based on aerial survey data gathered each fall resulted in models that corresponded more closely to independent estimates of growth rate than did models that used mark-recapture estimates of survival. This disparity suggests that mark-recapture estimates of survival are biased low. To further explore how parameter estimates affected estimates of growth rate, we used values of survival and reproduction found in other goose species, and we examined the effect of an hypothesized correlation between an individual's clutch size and the subsequent survival of her young. The rank order of parameters in their relative effects on growth rate was consistent for all 6 parameter sets we examined. The observed variation in relative effects on growth rate among the 6 parameter sets is indicative of how relative effects on growth rate may vary among goose populations. With this knowledge of the relative effects of survival and reproductive parameters on growth rate, managers can make more informed decisions about which parameters to influence through management or to target for future study.

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