Spatial Modeling of the Tradeoff between Sea Turtle Take Reduction and Economic Returns in the Hawaii Longline Fishery


This study constructed a spatial bio-economic model to support decision-making for Hawaii-based longline swordfish fishery management and explore alternative management measures to reduce interactions with sea turtles. Generalized Additive Models (GAMs) were applied to Hawaii longline logbook data to examine and predict sea turtle interactions in response to changes in spatial and temporal distributions of fishing effort and oceanographic conditions. A cost function was built into the model to support economic analyses and estimation of net revenue returns. Through simulation analyses of time-and-area closures, this research provided a tool for assessing the tradeoffs between reductions of sea turtle interactions and resulting economic returns under different policy options, including the current mandated caps on sea turtle interactions. The model can be extended to explore potential modifications to the existing regulations for the Hawaii-based shallow-set pelagic longline fishery.

Reports and Publications

Li S, Pan M
2012. Fishing Opportunities under the Sea Turtle Interaction Caps—A Spatial Bi-economic Model for the Hawaii-based Longline Swordfish. SOEST 11-02 JIMAR Contribution 11-378, 40p.
Pan M, Li S
(In press). Evaluation of Fishing Opportunities Under the Sea Turtle Interaction Caps - A Decision Support Model for the Hawaii-based Longline Swordfish Fishery Management. Special Issue in Marine Fisheries Review.


Pan M, Li S
2008. Fisheries policy designs in response to climate changes: a case study of the Hawaii-based longline swordfish fishery. Global Ocean Ecosystem Dynamics (GLOBEC) and FAO Symposium: Coping with global change in marine socio-ecological systems, Rome, Italy. July 8-11.