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Dan Okamoto

Resource and Environmental Management (REM)
Simon Fraser University

Dan is a quantitative marine ecologist who studies how complex interactions within and among species affect vital rates and population dynamics, as well as what biases and consequences ensue when such processes are ignored in management. He combines biological and statistical models with experiments, time-series analysis and surveys in pursuit of these interests. As a post-doc, Dan is integrating metapopulation models, simulation-based management strategy evaluation and surveys of fishermen to estimate the impact of hypothetical management policies on overfishing risk and the vulnerability of different fisheries participants to those policies. Specifically, how are participants that fish at different spatial scales impacted by harvest control rules, synchrony and autocorrelation in fish population productivity, connectivity among populations, and the scientific uncertainties in population dynamics? He is applying these models to Pacific herring fisheries in British Columbia as a case study, where mobile industrial fishing fleets and localized First Nations harvest a complex suite of stocks whose spatial structure is poorly understood at smaller scales.

In addition to his work at SFU, Dan has several ongoing projects including investigating what forces shape reef fish population dynamics in time and space and factors that constrain sea urchin fertilization and recruitment in California.