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A nonlinear least-squares procedure is developed to estimate harvest rate and differential vulnerability in wildlife populations that are harvested with 1 segment of the population more able than another. The method requires age data by category from a series of harvests, plus information on accumulated harvest effort, and assumes that the nonharvest mortality rate is the same for the categories. The data need not be from consecutive harvests, as long as the effort is known for missing Monte Carlo simulations were done to verify the estimation procedure. An example shows the application of the method to moose (Alces alces) harvest data from Ontario.


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