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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Fu, C. H.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Xu, Y.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Gruss, A.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Bundy, A.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Shannon, L.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Heymans, J. J.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Halouani, G.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Akoglu, E.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Lynam, C. P.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Coll, Marta</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Fulton, E. A.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Velez, L.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Shin, Yunne-Jai</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Responses of ecological indicators to fishing pressure under environmental change : exploring non-linearity and thresholds</title>
        <secondary-title>ICES Journal of Marine Science</secondary-title>
      </titles>
      <pages>1516-1531</pages>
      <keywords>
        <keyword>ecosystem-based fisheries management</keyword>
        <keyword>generalized additive model</keyword>
        <keyword>marine ecosystem model</keyword>
        <keyword>non-linear response</keyword>
        <keyword>primary productivity</keyword>
      </keywords>
      <dates>
        <year>2020</year>
      </dates>
      <call-num>fdi:010079915</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>ICES Journal of Marine Science</full-title>
      </periodical>
      <isbn>1054-3139</isbn>
      <accession-num>ISI:000582718700022</accession-num>
      <number>4</number>
      <electronic-resource-num>10.1093/icesjms/fsz182</electronic-resource-num>
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          <url>https://www.documentation.ird.fr/hor/fdi:010079915</url>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers20-11/010079915.pdf</url>
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      </urls>
      <volume>77</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <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.</abstract>
      <custom6>040 ; 036 ; 020</custom6>
      <custom1>UR248</custom1>
      <custom7>Turquie / Afrique du Sud</custom7>
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