<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Responses of ecological indicators to fishing pressure under environmental change : exploring non-linearity and thresholds</dc:title>
  <dc:creator>Fu, C. H.</dc:creator>
  <dc:creator>Xu, Y.</dc:creator>
  <dc:creator>Gruss, A.</dc:creator>
  <dc:creator>Bundy, A.</dc:creator>
  <dc:creator>Shannon, L.</dc:creator>
  <dc:creator>Heymans, J. J.</dc:creator>
  <dc:creator>Halouani, G.</dc:creator>
  <dc:creator>Akoglu, E.</dc:creator>
  <dc:creator>Lynam, C. P.</dc:creator>
  <dc:creator>/Coll, Marta</dc:creator>
  <dc:creator>Fulton, E. A.</dc:creator>
  <dc:creator>Velez, L.</dc:creator>
  <dc:creator>/Shin, Yunne-Jai</dc:creator>
  <dc:subject>ecosystem-based fisheries management</dc:subject>
  <dc:subject>generalized additive model</dc:subject>
  <dc:subject>marine ecosystem model</dc:subject>
  <dc:subject>non-linear response</dc:subject>
  <dc:subject>primary productivity</dc:subject>
  <dc: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.</dc:description>
  <dc:date>2020</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010079915</dc:identifier>
  <dc:identifier>fdi:010079915</dc:identifier>
  <dc:identifier>Fu C. H., Xu Y., Gruss A., Bundy A., Shannon L., Heymans J. J., Halouani G., Akoglu E., Lynam C. P., Coll Marta, Fulton E. A., Velez L., Shin Yunne-Jai. Responses of ecological indicators to fishing pressure under environmental change : exploring non-linearity and thresholds. 2020, 77 (4),  1516-1531</dc:identifier>
  <dc:language>EN</dc:language>
</oai_dc:dc>
