Highlights•A Hierarchical Bayesian Markov model is proposed for capturing under-ice carp movement patterns.•The model is used for submersible underwater receivers to track tagged carp.•Bootstrap simulation allows for calculation of credible intervals for error and smooth data for easier interpretation.•Model results sufficiently smooth movement data and capture periods of aggregation, low movement, and location.•Results can assist mass removal of carp from infected water-systems using techniques like gill-net seining.
Ecological Modelling – Elsevier
Published: Aug 24, 2016
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