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        <identifier>oai:avys.klu.edu.tr:28</identifier>
        <datestamp>2019-03-01T08:31:00Z</datestamp>
        <setSpec>makale</setSpec>
        <setSpec>sdg14</setSpec>
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          <dc:title>Numerical Modelling of Black Sea Fish Stocks in Southeast Europe</dc:title>
          <dc:identifier>https://avys.mr1.com.tr/yayin/28</dc:identifier>
          <dc:creator>Hasan Basri Özgen</dc:creator>
          <dc:creator>Mustafa Eren Çakır</dc:creator>
          <dc:subject>fish stocks</dc:subject>
          <dc:subject>fisheries</dc:subject>
          <dc:subject>Black Sea</dc:subject>
          <dc:subject>SDG 14: Sudaki Yaşam</dc:subject>
          <dc:description>This study examines Black Sea fish stocks in Southeast Europe. The analysis combines field observations, national statistics and computational simulation. Key themes include fish stocks, fisheries, Black Sea. Monitoring of fisheries and aquaculture indicates that sustainable use of marine resources protects marine biodiversity.</dc:description>
          <dc:publisher>Marine and Aquatic Ecosystems Letters</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Article</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>https://doi.org/10.5555/avys.2019.0021</dc:identifier>
          <dc:source>Marine and Aquatic Ecosystems Letters</dc:source>
          <dc:language>en</dc:language>
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