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  <type>external_news</type>
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    <user id="34434"><![CDATA[34434]]></user>
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  <created>1676318576</created>
  <changed>1676318576</changed>
  <title><![CDATA[Machine learning predicts biodiversity and resilience in the Coral Triangle]]></title>
  <body><![CDATA[<p>Coral reef conservation is a steppingstone to protect marine biodiversity and life in the ocean as we know it. The health of coral also has huge societal implications: reef ecosystems provide sustenance and livelihoods for millions of people around the world.&nbsp;In the face of climate change,&nbsp;<a href="https://eas.gatech.edu/people/bracco-dr-annalisa">Annalisa Bracco</a>, professor in the&nbsp;<a href="https://eas.gatech.edu/">School of Earth and Atmospheric Sciences</a>, and <a href="https://eas.gatech.edu/people/novi-lyuba">Lyuba Novi</a>, a postdoctoral fellow, offer a new methodology that could revolutionize how conservationists monitor coral. The researchers applied machine learning tools to study how climate impacts connectivity and biodiversity in the Pacific Ocean&rsquo;s Coral Triangle &mdash; the most diverse and biologically complex marine ecosystem on the planet.</p>
]]></body>
  <field_article_url>
    <item>
      <url><![CDATA[https://www.newswise.com/articles/machine-learning-predicts-biodiversity-and-resilience-in-the-coral-triangle]]></url>
      <title><![CDATA[]]></title>
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      <value><![CDATA[  ]]></value>
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  <field_dateline>
    <item>
      <value>2023-02-09</value>
      <timezone></timezone>
    </item>
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  <field_media>
        </field_media>
  <og_groups>
          <item>1278</item>
          <item>364801</item>
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  <og_groups_both>
          <item><![CDATA[College of Sciences]]></item>
          <item><![CDATA[School of Earth and Atmospheric Sciences (EAS)]]></item>
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