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This lecture explores the use of Hidden Markov Models to study animal movement and behavior in population abundance surveys. Topics covered include existing methods, encounter models, distance sampling, spatial capture-recapture, and the integration of movement and detection data. The lecture also delves into simulation studies, activity centers, detection models, and the application of Hidden Markov Models in wildlife surveys.