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Abstract:
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Ecologists are interested in modeling predator-prey dynamics to represent realistic environmental encounters. Modeling dynamical systems can assist with conservation efforts and wildlife management. Traditionally, ecologists follow classical sampling theory and collect samples on a regular time frequency. However, sampling can be an expensive process due to limited resources and funding. In some cases the environments are threatening, and ecologists prefer to limit their time collecting data. We propose a new approach that optimizes data collection based on the dynamics associated with a predator-prey relationship.
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