, Volume 42, Issue 8, pp 910–922

Exploring Patterns of Seafood Provision Revealed in the Global Ocean Health Index


    • Fisheries CentreUniversity of British Columbia
  • Catherine Longo
    • National Center for Ecological Analysis and Synthesis (NCEAS)
  • Marta Coll
    • Department of Marine Renewal ResourcesInstitute of Marine Science
  • Ben S. Halpern
    • Bren School of Environmental Science and ManagementUniversity of California
  • Darren Hardy
    • Digital Library Systems & ServicesStanford University Libraries
  • Steven K. Katona
    • Conservation International, Betty and Gordon Moore Center for Science and Oceans
  • Frédéric Le Manach
    • Fisheries CentreUniversity of British Columbia
    • Institut de Recherche pour le Développement
  • Daniel Pauly
    • Fisheries CentreUniversity of British Columbia
  • Andrew A. Rosenberg
    • Center for Science and Democracy, Union of Concerned Scientists
  • Jameal F. Samhouri
    • Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries ServiceNational Oceanic and Atmospheric Administration
  • Courtney Scarborough
    • National Center for Ecological Analysis and Synthesis (NCEAS)
  • U. Rashid Sumaila
    • Fisheries CentreUniversity of British Columbia
  • Reg Watson
    • IMASUniversity of Tasmania
  • Dirk Zeller
    • Fisheries CentreUniversity of British Columbia

DOI: 10.1007/s13280-013-0447-x

Cite this article as:
Kleisner, K.M., Longo, C., Coll, M. et al. AMBIO (2013) 42: 910. doi:10.1007/s13280-013-0447-x


Sustainable provision of seafood from wild-capture fisheries and mariculture is a fundamental component of healthy marine ecosystems and a major component of the Ocean Health Index. Here we critically review the food provision model of the Ocean Health Index, and explore the implications of knowledge gaps, scale of analysis, choice of reference points, measures of sustainability, and quality of input data. Global patterns for fisheries are positively related to human development and latitude, whereas patterns for mariculture are most closely associated with economic importance of seafood. Sensitivity analyses show that scores are robust to several model assumptions, but highly sensitive to choice of reference points and, for fisheries, extent of time series available to estimate landings. We show how results for sustainable seafood may be interpreted and used, and we evaluate which modifications show the greatest potential for improvements.



Supplementary material

13280_2013_447_MOESM1_ESM.pdf (27.3 mb)
Supplementary material 1 (PDF 27978 kb)

Copyright information

© Royal Swedish Academy of Sciences 2013