Seminar Series: Stock Identification for Better Fishery Science and Management
Date:
Time:
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Via webinar only.
Identifying self-sustaining populations within each fished species is essential for accurate assessment of ‘unit stocks’ and defining spatial management units. Advances in several technologies like genomics, electronic tagging, vessel monitoring, and statistical modeling have revived stock identification. Many stock assessment and management systems (e.g., SouthEast Data, Assessment, and Review, SEDAR) are routinely re-evaluating stock definitions. Spatially complex populations, climate-induced spatial shifts, and data limitations are challenges for stock identification, but accounting for spatial population structure can improve the performance of stock assessment and fishery management.
