Published September 27, 2019
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Responses of ecological indicators to fishing pressure under environmental change: exploring non-linearity and thresholds

  • 1. Fisheries and Oceans Canada
  • 2. University of Washington
  • 3. Bedford Institute of Oceanography
  • 4. University of Cape Town
  • 5. Scottish Association for Marine Science
  • 6. Galway-Mayo Institute of Technology
  • 7. Middle East Technical University
  • 8. Centre for Environment, Fisheries and Aquaculture Science
  • 9. Spanish National Research Council
  • 10. University of Tasmania
  • 11. Hobart Corporation
  • 12. Commonwealth Scientific and Industrial Research Organisation
  • 13. Institut de recherche pour le développement

Description

Marine ecosystems are influenced by multiple stressors in both linear and non-linear ways. Using generalized additive models (GAMs) fitted to outputs from a multi-ecosystem, multi-model simulation experiment, we investigated 14 major ecological indicators across ten marine ecosystems about their responses to fishing pressure under: (i) three different fishing strategies (focusing on low-, high-, or all-trophic-level taxa); and (ii) four different scenarios of directional or random primary productivity change, a proxy for environmental change. From this work, we draw four major conclusions: (i) responses of indicators to fishing mortality in shapes, directions, and thresholds depend on the fishing strategies considered; (ii) most of the indicators demonstrate decreasing trends with increasing fishing mortality, with a few exceptions depending on the type of fishing strategy; (iii) most of the indicators respond to fishing mortality in a linear way, particularly for community and biomass-based indicators; and (iv) occurrence of threshold for non-linear-mixed type (i.e. non-linear with inflection points) is not prevalent within the fishing mortality rates explored. The conclusions drawn from the present study provide a knowledge base in indicators' dynamics under different fishing and primary productivity levels, thereby facilitating the application of ecosystem-based fisheries management worldwide.
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