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Abstract: We devised a novel approach to model reintroduced populations whereby demographic data collected from multiple sites are integrated into a Bayesian hierarchical model. Integrating data from multiple reintroductions allows more precise population‐growth projections to be made, especially for populations for which data are sparse, and allows projections that account for random site‐to‐site variation to be made before new reintroductions are attempted. We used data from reintroductions of the North Island Robin...
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