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Questionnaires, discrete choice models, and agent-based models of fisher behavior: what can we learn from each?

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  • Understanding and quantifying the behavior of fishers is important given the role human behavior plays in fish population dynamics and fisheries management. Various quantitative and qualitative methods have been used to collect information on the behavior of fishers. This study discusses the benefits and drawbacks of three of these methods: questionnaires, discrete choice models, and agent-based models. Each approach has its own benefits, challenges, and set of limitations. Questionnaires provide the analyst the opportunity to tailor their inquiry to specific behavioral components they are interested in understanding, however can be difficult to implement due to time spent away at sea by fishers and willingness to participate. Discrete choice models in fisheries are typically fit to revealed preference panel data generated using fisher logbook data. These models provide the ability to quantify how individuals made different decisions in the past based on spatial and temporal state information (i.e. windspeed, fuel price, fish price, vessel size, habitat, etc.). Drawbacks to discrete choice models include that you can only understand the factors that might affect fisher behavior for which you have data. Agent-based simulation models provide a bottom-up structure through which you represent the individual behaviors of each fisher explicitly represented in the model, and let the simulated vessels interact with a biological layer (either agent-based or not). The interactions and higher-level patters that occur in agent-based models can help scientists understand how the dynamics of fishers, fish populations, and regulatory structures interact.
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  • Seattle, Washington, USA
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