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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="bold" font="default" size="100%">David, Viviane</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Habasque, Jérémie</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Roudaut, Gildas</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Marie, L.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Thibault, D.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Lebourges Dhaussy, Anne</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Capet, X.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Machu, Eric</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Spatial distributions of acoustic scattering groups during the warm-to-cold transition period in the Senegal coastal ecosystem and their relationships with environmental variables</title>
        <secondary-title>Journal of Marine Systems</secondary-title>
      </titles>
      <pages>104113 [14 ]</pages>
      <keywords>
        <keyword>Active acoustics</keyword>
        <keyword>Micronekton</keyword>
        <keyword>Senegal</keyword>
        <keyword>Upwelling</keyword>
        <keyword>SENEGAL</keyword>
        <keyword>ATLANTIQUE</keyword>
      </keywords>
      <dates>
        <year>2025</year>
      </dates>
      <call-num>fdi:010094808</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Journal of Marine Systems</full-title>
      </periodical>
      <isbn>0924-7963</isbn>
      <accession-num>ISI:001544332800001</accession-num>
      <electronic-resource-num>10.1016/j.jmarsys.2025.104113</electronic-resource-num>
      <urls>
        <related-urls>
          <url>https://www.documentation.ird.fr/hor/fdi:010094808</url>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2025-09/010094808.pdf</url>
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      <volume>251</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>The coastal area of north-west (NW) Africa is a highly productive ecosystem due to the presence of a strong upwelling. This ecosystem supports large populations of small pelagic fish, such as sardinellas, which have significant socio-economic value for local populations. In this study, we analyzed the acoustic data collected during a one-month survey along the Senegalese coast at the beginning of the upwelling season. Hierarchical clusterings were performed to classify the acoustic data from the epipelagic zone (down to 120 m-depth) separately for daytime and nighttime. The analysis identified five echo-groups during the day and six at night. The resulting echo-groups were then compared to stratified midwater trawl samplings to support hypotheses about the organisms responsible for the echoes. Additionally, a remotely operated towed vehicle (called Scan-fish) was used to monitor environmental variables down to 100 m depth. Two machine learning models were applied to link the classified echo-groups to the environmental data for both day and night. Each daytime echo group had a corresponding nighttime echo group, with also similar environmental preferences. Fish schools were mainly found in shallow coastal waters while dense sound-scattering layers detected at 38 kHz, likely composed of small fish or fish larvae, were observed in the temperature range of 17 degrees-21 degrees C for both day and night. The other echo-groups were composed of fluid-like zooplankton or gas-bearing zooplankton. The sixth night echo-group corresponded to migrant organisms and was predominant at night. Overall, the analyses of the abiotic habitats for each echo-group allow us to better understand the organism distributions during the beginning of the NW Africa upwelling season.</abstract>
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