<?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>Spatial distributions of acoustic scattering groups during the warm-to-cold transition period in the Senegal coastal ecosystem and their relationships with environmental variables</dc:title>
  <dc:creator>/David, Viviane</dc:creator>
  <dc:creator>/Habasque, J&#xE9;r&#xE9;mie</dc:creator>
  <dc:creator>/Roudaut, Gildas</dc:creator>
  <dc:creator>Marie, L.</dc:creator>
  <dc:creator>Thibault, D.</dc:creator>
  <dc:creator>/Lebourges Dhaussy, Anne</dc:creator>
  <dc:creator>Capet, X.</dc:creator>
  <dc:creator>/Machu, Eric</dc:creator>
  <dc:subject>Active acoustics</dc:subject>
  <dc:subject>Micronekton</dc:subject>
  <dc:subject>Senegal</dc:subject>
  <dc:subject>Upwelling</dc:subject>
  <dc:description>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.</dc:description>
  <dc:date>2025</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010094808</dc:identifier>
  <dc:identifier>fdi:010094808</dc:identifier>
  <dc:identifier>David Viviane, Habasque J&#xE9;r&#xE9;mie, Roudaut Gildas, Marie L., Thibault D., Lebourges Dhaussy Anne, Capet X., Machu Eric. Spatial distributions of acoustic scattering groups during the warm-to-cold transition period in the Senegal coastal ecosystem and their relationships with environmental variables. 2025, 251, 104113 [14 ]</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>SENEGAL</dc:coverage>
  <dc:coverage>ATLANTIQUE</dc:coverage>
</oai_dc:dc>
