About
Quota baskets, which manage groups of species with similar traits using a single catch or effort limit, represent a promising approach for managing data-limited multi-species fisheries. Single-species assessment and management approaches are data-intensive and are simply not applicable in most fisheries contexts. Furthermore, even in data-rich contexts, rigid single-species approaches sacrifice the economic and nutritional benefits of multi-species fisheries when they require the conservation of “weak” stocks, i.e., stocks with lower productivity and/or higher vulnerability than the primary target stocks. Well-designed quota baskets may be able to balance conservation and socioeconomic objectives for data-limited species. However, a key challenge to implementing effective quota baskets is the lack of tools for validating the expected performance of proposed quota baskets and the lack of guidance for deriving catch or effort limits that achieve fisheries objectives, especially when data is limited.
In this project, we developed a flexible method of evaluating the effectiveness of proposed quota baskets and leveraged this approach to provide guidance on how to set effective catch limits. We evaluated quota baskets proposed for the management of marine fisheries in Belize as a case study.