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      <source-app name="Horizon">Horizon</source-app>
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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%">Keerthi, M. G.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Prend, C. J.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Aumont, Olivier</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Levy, Marina</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Annual variations in phytoplankton biomass driven by small-scale physical processes</title>
        <secondary-title>Nature Geoscience</secondary-title>
      </titles>
      <pages>1027-1033</pages>
      <keywords>
        <keyword>MONDE</keyword>
      </keywords>
      <dates>
        <year>2022</year>
      </dates>
      <call-num>fdi:010089890</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Nature Geoscience</full-title>
      </periodical>
      <isbn>1752-0894</isbn>
      <accession-num>ISI:000883294100001</accession-num>
      <electronic-resource-num>10.1038/s41561-022-01057-3</electronic-resource-num>
      <urls>
        <related-urls>
          <url>https://www.documentation.ird.fr/hor/fdi:010089890</url>
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        <pdf-urls>
          <url>https://www.documentation.ird.fr/intranet/publi/2024-03/010089890.pdf</url>
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      <volume>15</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Phytoplankton biomass exhibits substantial year-to-year changes, and understanding these changes is crucial to fisheries management and projecting future climate. These annual changes result partly from low-frequency climate modes that also lead to variations in sea surface temperature (SST). Here we evaluate the contribution of small scales to annual fluctuations based on a global analysis of satellite observations of sea surface chlorophyll (SChl), an indicator of phytoplankton biomass, and of SST from 1999 to 2018. We disentangle the spatio-temporal scales of variability in the time series and find that besides the prominent seasonal cycle, SChl is dominated by high-frequency fluctuations (&lt;three months) at small spatial scales (&lt;50 km)-which accumulates over annual scales in contrast to SST. The results suggest that observations and models with high spatio-temporal resolutions are necessary to understand annual changes in SChl. The rapid response of SChl to small-scale physical processes, combined with intrinsic ecosystem interactions and air-sea interaction feedbacks, may explain the differences between annual variations in SST and SChl. Annual variations of phytoplankton biomass can be explained by processes acting on small spatio-temporal scales, according to a global analysis of satellite observations of sea surface chlorophyll and temperature from 1999 to 2018.</abstract>
      <custom6>034 ; 036</custom6>
      <custom1>UR182</custom1>
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