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Towards a Fishing Pressure Prediction System for a Western Pacific EEZ.
Cimino, Megan A; Anderson, Mark; Schramek, Travis; Merrifield, Sophia; Terrill, Eric J.
Afiliação
  • Cimino MA; Scripps Institution of Oceanography, University of California San Diego, La Jolla, 92093, CA, USA. mecimino@ucsc.edu.
  • Anderson M; Institute of Marine Science, University of California Santa Cruz, Santa Cruz, 95064, CA, USA. mecimino@ucsc.edu.
  • Schramek T; Jacobs School of Engineering, University of California San Diego, La Jolla, 92093, CA, USA.
  • Merrifield S; Scripps Institution of Oceanography, University of California San Diego, La Jolla, 92093, CA, USA.
  • Terrill EJ; Scripps Institution of Oceanography, University of California San Diego, La Jolla, 92093, CA, USA.
Sci Rep ; 9(1): 461, 2019 01 24.
Article em En | MEDLINE | ID: mdl-30679554
ABSTRACT
Fisheries management faces numerous monitoring and enforcement challenges that are becoming more complex as fish stocks are depleted; and illegal, unregulated, and unreported fishing becomes more sophisticated. For remote island nations, the challenges are compounded by a loosely understood association of pelagic stocks to the ocean environment, and the tyranny of distance in monitoring and surveilling large exclusive economic zones (EEZ). An approach to ocean conservation is establishing protected areas, with the Pacific island nation of Palau as a leader with the recently established National Marine Sanctuary, which closes 80% of their EEZ to commercial fishing in 2020. Here we present an EEZ-wide analysis of Palau commercial fishing over a 6-year period (2011-2016), and develop a system for predicting fishing activity accounting for oceanic variables, climate indices, and vessel flag. Linking pelagic habitat to fishing activity provides high-resolution decision aids for management, highlighting the need for EEZ-specific analyses in addressing fisheries.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Pesqueiros Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Pesqueiros Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article