Discover the latest in ARF Pacific Albacore Tuna research.

These studies are peer-reviewed and conducted by scientists at independently funded organizations.

Risk and Reward in Foraging Migrations of North Pacific Albacore Determined From Estimates of Energy Intake and Movement Costs
Barbara Muhling, Stephanie Snyder, Elliott L. Hazen, Rebecca E. Whitlock, Heidi Dewar, Jong-Yeon Park, Charles A. Stock, Barbara A. Block, Institute of Marine Sciences - University of California, Santa Cruz, NOAA Fisheries - Southwest Fisheries Science Center, Department of Biological Sciences - Thomas More University, Department of Aquatic Resources - Swedish University of Agricultural Sciences, Department of Earth and Environmental Sciences - Jeonbuk National University, Geophysical Fluid Dynamics Laboratory - National Oceanic and Atmospheric Administration, Hopkins Marine Station - Stanford University Michele Amar Barbara Muhling, Stephanie Snyder, Elliott L. Hazen, Rebecca E. Whitlock, Heidi Dewar, Jong-Yeon Park, Charles A. Stock, Barbara A. Block, Institute of Marine Sciences - University of California, Santa Cruz, NOAA Fisheries - Southwest Fisheries Science Center, Department of Biological Sciences - Thomas More University, Department of Aquatic Resources - Swedish University of Agricultural Sciences, Department of Earth and Environmental Sciences - Jeonbuk National University, Geophysical Fluid Dynamics Laboratory - National Oceanic and Atmospheric Administration, Hopkins Marine Station - Stanford University Michele Amar

Risk and Reward in Foraging Migrations of North Pacific Albacore Determined From Estimates of Energy Intake and Movement Costs

Archival tags are implanted in the body cavity of fish and record the internal body temperature at frequent intervals. This study used these temperature recordings to identify times and areas of feeding to examine the benefits vs costs of moving to seasonal feeding or wintering grounds that had been previously identified (Childers et al. 2011). The migratory paths and increased feeding were found in areas of estimated high plankton concentrations in the California Current and the North Pacific Transition Zone.

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Dynamic human, oceanographic, and ecological factors mediate transboundary fishery overlap across the Pacific high seas
Timothy H. Frawley, Barbara Muhling, Stephanie Brodie, Hannah Blondin, Heather Welch, Martin C. Arostegui, Steven J. Bograd, Camrin D. Braun, Megan A. Cimino, Nima Farchadi, Elliott L. Hazen, Desiree Tommasi, Michael Jacox, Institute of Marine Sciences - University of California, Santa Cruz, NOAA Fisheries - Southwest Fisheries Science Center, Hopkins Marine Station - Stanford University, Woods Hole Oceanographic Institution, San Diego State University, University of California Davis, NOAA Earth System Research Laboratory Ericka Carlson Timothy H. Frawley, Barbara Muhling, Stephanie Brodie, Hannah Blondin, Heather Welch, Martin C. Arostegui, Steven J. Bograd, Camrin D. Braun, Megan A. Cimino, Nima Farchadi, Elliott L. Hazen, Desiree Tommasi, Michael Jacox, Institute of Marine Sciences - University of California, Santa Cruz, NOAA Fisheries - Southwest Fisheries Science Center, Hopkins Marine Station - Stanford University, Woods Hole Oceanographic Institution, San Diego State University, University of California Davis, NOAA Earth System Research Laboratory Ericka Carlson

Dynamic human, oceanographic, and ecological factors mediate transboundary fishery overlap across the Pacific high seas

The management and conservation of tuna and other transboundary marine species have to date been limited by an incomplete understanding of the oceanographic, ecological and socioeconomic factors mediating fishery overlap and interactions, and how these factors vary across expansive, open ocean habitats. Despite advances in fisheries monitoring and biologging technology, few attempts have been made to conduct integrated ecological analyses at basin scales relevant to pelagic fisheries and the highly migratory species they target. Here, we use vessel tracking data, archival tags, observer records, and machine learning to examine inter- and intra-annual variability in fisheries overlap (2013–2020) of five pelagic longline fishing fleets with North Pacific albacore tuna (Thunnus alalunga, Scombridae).

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