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A Novel Approach for Estimating Population Dynamics in Commercial Shrimp Ponds using Individual-Based Modelling

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Title: A Novel Approach for Estimating Population Dynamics in Commercial Shrimp Ponds using Individual-Based Modelling
Author: Wong, Matthew Min Yien
Department: Department of Animal Biosciences
Program: Animal and Poultry Science
Advisor: Bureau, Dominique
Abstract: Reliable estimation of population dynamics is essential for effective management in a commercial shrimp farm. This study presents an individual-based model as a novel approach to describe the complex dynamics of a cultivated shrimp population under commercial settings. This was accomplished by constructing a conceptual framework under the assumptions of a commercial shrimp pond by describing pond environmental variables, shrimp traits such as growth and survival, and determining the relationship between shrimp and the ambient environment. The robustness of this model was examined by running a series of Monte Carlo simulations on multiple scenarios designed based on real-life practices. Sensitivity analysis suggested that acute exposure to total ammonia nitrogen and/or hypoxia could lead to severe losses in production. The model showcased its flexibility in estimating shrimp pond population dynamics under novel circumstances. Future validation with field data is needed for the continuous advancement of this model.
URI: http://hdl.handle.net/10214/17939
Date: 2020-05
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