BibliographicReference 357867

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Type: Bibliographic resource
Type of document: Journal article
BibLvlCode: AS
Title: Clustering of disaggregated fisheries data reveals functional longline fleets across the Pacific
Abstract: Ensuring the long-term sustainability of tuna, billfish, and other transboundary fisheries resources begins with data on the status of stocks, as well as information concerning who catches what fish, when, where, and how. Despite recent improvements in fisheries monitoring and surveillance, such dynamics remain poorly understood across the high seas. Here we delineate and describe pelagic longline activity in the Pacific Ocean using a framework that integrates descriptive vessel information and tracking data with species-specific catch reports. When parsed by distinct vessel behaviors and attributes, disaggregated fisheries data highlight the existence of multi-national, multi-specific (i.e., targeting multiple species) fishing fleets, many of which target waters that span more than one management area. Our findings emphasize the need for increased coordination across regional and sub-regional governance bodies and suggest that effective and equitable management of the sector may require efforts to move beyond single-species, single-area controls and operational distinctions based primarily on vessel flag and/or gear type alone.
WebOfScience code: https://www.webofscience.com/wos/woscc/full-record/WOS:000878094400010
Bibliographic citation: Frawley, T.H.; Muhling, B.; Welch, H.; Seto, K.L.; Chang, S.-K.; Blaha, F.; Hanich, Q.; Jung, M.; Hazen, E.L.; Jacox, M.G.; Brodie, S. (2022). Clustering of disaggregated fisheries data reveals functional longline fleets across the Pacific. One Earth 5(9): 1002-1018. https://dx.doi.org/10.1016/j.oneear.2022.08.006
Topic: Marine
Is peer reviewed: true
Access rights: open access
Is accessible for free: true

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