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Responses of ecological indicators to fishing pressure under environmental change: exploring non-linearity and thresholds
Fu, C.; Xu, Y.; Grüss, A.; Bundy, A.; Shannon, L.; Heymans, J.J.; Halouani, G.; Akoglu, E.; Lynam, C.P.; Coll, M.; Fulton, E.A.; Velez, L.; Shin, Y.-J. (2020). Responses of ecological indicators to fishing pressure under environmental change: exploring non-linearity and thresholds. ICES J. Mar. Sci./J. Cons. int. Explor. Mer 77(4): 1516-1531. https://hdl.handle.net/10.1093/icesjms/fsz182
In: ICES Journal of Marine Science. Academic Press: London. ISSN 1054-3139; e-ISSN 1095-9289, meer
Peer reviewed article  
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Trefwoord
    Marien/Kust
Author keywords
    ecosystem-based fisheries management; generalized additive model; marine ecosystem model; non-linear response; primary productivity
Auteurs  Top 
  • Fu, C.
  • Xu, Y.
  • Grüss, A.
  • Bundy, A.
  • Shannon, L.
  • Heymans, J.J., meer
  • Halouani, G.
  • Akoglu, E.
  • Lynam, C.P.
  • Coll, M.
  • Fulton, E.A.
  • Velez, L.
  • Shin, Y.-J.
Abstract
    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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