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Activity Number:
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661
- Statistical Models for Animal Behavior and Population Dynamics
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Type:
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Contributed
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Date/Time:
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Thursday, August 1, 2019 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #306839
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Presentation
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Title:
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Bayesian Modeling of Fish Movement Using Stronium Isotopes
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Author(s):
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Edward L Boone* and Ben Stewart-Koster and Michael Venarsky
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Companies:
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Virginia Commonwealth University and Griffith University and Griffith University
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Keywords:
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Movement;
Bayesian Statistics;
Mixture Model
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Abstract:
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Ecologists are very interested in the movement of species across the environment. Recently, scientists have been able to determine the quantity in Stronium isotopes present in fish otaliths using laser technologies. By understanding the Stronium isotopes present in stream environments researchers can correlate if a particular fish has been in the environment by examining the Stronium present in the the otalith. We propose a Bayesian Model of fish movement which utilizes a random walk approach with a mixture distribution likelihood. We will demonstrate the use of the model on both simulated and a dataset concerning the Barramundi fish in a river in northern Australia.
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Authors who are presenting talks have a * after their name.
