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    <titleInfo>
      <title>Consequences of an uncertain mass mortality regime triggered by climate variability on giant clam population management in the Pacific Ocean</title>
    </titleInfo>
    <name type="personnal">
      <namePart type="family">Van Wynsberge</namePart>
      <namePart type="given">S.</namePart>
      <role>
        <roleTerm type="text">auteur</roleTerm>
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    <name type="personnal">
      <namePart type="family">Andréfouët</namePart>
      <namePart type="given">Serge</namePart>
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        <roleTerm type="text">auteur</roleTerm>
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    <name type="personnal">
      <namePart type="family">Gaertner-Mazouni</namePart>
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    <name type="personnal">
      <namePart type="family">Remoissenet</namePart>
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    <abstract>Despite actions to manage sustainably tropical Pacific Ocean reef fisheries, managers have faced failures and frustrations because of unpredicted mass mortality events triggered by climate variability. The consequences of these events on the long-term population dynamics of living resources need to be better understood for better management decisions. Here, we use a giant clam (Tridacna maxima) spatially explicit population model to compare the efficiency of several management strategies under various scenarios of natural mortality, including mass mortality due to climatic anomalies. The model was parameterized by in situ estimations of growth and mortality and fishing effort, and was validated by historical and new in situ surveys of giant clam stocks in two French Polynesia lagoons. Projections on the long run (100 years) suggested that the best management strategy was a decrease of fishing pressure through quota implementation, regardless of the mortality regime considered. In contrast, increasing the minimum legal size of catch and closing areas to fishing were less efficient. When high mortality occurred due to climate variability, the efficiency of all management scenarios decreased markedly. Simulating El Nifio Southern Oscillation event by adding temporal autocorrelation in natural mortality rates increased the natural variability of stocks, and also decreased the efficiency of management. These results highlight the difficulties that managers in small Pacific islands can expect in the future in the face of global warming, climate anomalies and new mass mortalities.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject>
      <topic>Climate change</topic>
      <topic>Stock decrease</topic>
      <topic>Lagoon enclosure</topic>
      <topic>Population viable analysis</topic>
      <topic>Spatially explicit modelling</topic>
      <topic>Tridacna maxima</topic>
    </subject>
    <subject authority="local">
      <geographic>PACIFIQUE</geographic>
    </subject>
    <classification authority="local">036</classification>
    <classification authority="local">040</classification>
    <classification authority="local">021</classification>
    <relatedItem type="host">
      <titleInfo>
        <title>Theoretical Population Biology</title>
      </titleInfo>
      <part>
        <detail type="volume">
          <number>119</number>
        </detail>
        <extent unit="pages">
          <list> 37-47</list>
        </extent>
      </part>
      <originInfo>
        <dateIssued>2018</dateIssued>
      </originInfo>
      <identifier type="issn">0040-5809</identifier>
    </relatedItem>
    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010072362</identifier>
    <identifier type="doi">10.1016/j.tpb.2017.10.005</identifier>
    <identifier type="issn">0040-5809</identifier>
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      <url usage="primary display" access="object in context">https://www.documentation.ird.fr/hor/fdi:010072362</url>
      <url access="row object">https://www.documentation.ird.fr/intranet/publi/2018/03/010072362.pdf</url>
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    <accessCondition type="restriction access" displayLabel="Accès réservé">Accès réservé (Intranet de l'IRD)</accessCondition>
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      <recordContentSource>IRD - Base Horizon / Pleins textes</recordContentSource>
      <recordCreationDate encoding="w3cdtf">2018-04-03</recordCreationDate>
      <recordChangeDate encoding="w3cdtf">2023-07-11</recordChangeDate>
      <recordIdentifier>fdi:010072362</recordIdentifier>
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