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  </style:style>
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  </style:style>
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   <loext:graphic-properties draw:fill="solid" draw:fill-color="#90d23c"/>
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  <style:style style:name="P10" style:family="paragraph">
   <loext:graphic-properties draw:fill="solid" draw:fill-color="#faf9f9"/>
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   <loext:graphic-properties draw:fill="solid" draw:fill-color="#fcfcfc"/>
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   </text:list-level-style-bullet>
  </text:list-style>
 </office:automatic-styles>
 <office:master-styles>
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   <draw:layer draw:name="layout"/>
   <draw:layer draw:name="background"/>
   <draw:layer draw:name="backgroundobjects"/>
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      <text:p text:style-name="P2"><text:span text:style-name="T1">*Corresponding author: randyguerrero@gmail.com</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">of </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">(LUZ). </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">PO </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Box </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">4011. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Maracaibo, Venezuela.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">El <text:s/>Lago <text:s/>Local <text:s/>Station, <text:s/>National <text:s/>Institute <text:s/>for Agricultural </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Research (INIA), Maracaibo, Venezuela.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T9">3</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Ecology <text:s/>Laboratory, <text:s/>Faculty <text:s/>of Agronomy, <text:s/>University <text:s/>of </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Zulia (LUZ). PO Box 4011. Maracaibo, Venezuela.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T9">4</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8">Department of Biology, Experimental Faculty of Sciences, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8">University of Zulia, Maracaibo, Zulia State, Venezuela.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T9">5</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">KAUST </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Beacon </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Development, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8">KAUST </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">National </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Transformation </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Institute, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">King </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Abdullah </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">University </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">of </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Science and Technology, Saudi Arabia. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">Received: 26-10-2025</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8">Accepted: 02-02-2026</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8">Published: -0-2026</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T2">Abstract</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>blue <text:s/>crab, </text:span><text:span text:style-name="T10"><text:s/>Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T3">, <text:s/>supports <text:s/>one <text:s/>of <text:s/>the <text:s/>most </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">significant <text:s/>fisheries <text:s/>in <text:s/>Lake <text:s/>Maracaibo <text:s/>and <text:s/>western <text:s/>Venezuela, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">although several previous studies suggest signs of overexploitation. </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">This <text:s/>study <text:s/>analyzed <text:s/>the <text:s/>population <text:s/>dynamics <text:s/>of <text:s/>the <text:s/>species <text:s/>as <text:s/>a </text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">basis for resource management, based on 46 monthly samples of </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">landings at the main ports of Lake Maracaibo from 2010 to 2014. </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Monthly length-frequency data were analyzed using the FiSAT II </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">software <text:s/>to <text:s/>estimate <text:s/>growth <text:s/>parameters <text:s/>(ELEFAN <text:s/>I), <text:s/>mortality </text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(length-converted <text:s/>catch <text:s/>curve) <text:s/>and <text:s/>recruitment <text:s/>(cohort <text:s/>analysis). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.769cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="19.491cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Natural mortality was estimated using several methods due to its </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">complexity. The estimated growth parameters were L</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞ </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">= 14.67 cm, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and K = 0.87 yr</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, with higher growth rates in males. Recruitment </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was continuous, with peaks during the rainy season. Total mortality </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.257cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="21.202cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was estimated at 7.74 yr</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.933cm" svg:height="0.369cm" svg:x="14.714cm" svg:y="21.202cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, natural mortality ranged from 0.87 to 2.05 </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="21.626cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">yr</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.788cm" svg:height="0.369cm" svg:x="11.83cm" svg:y="21.626cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, and fishing mortality ranged from 5.79 to 6.87 yr</text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.399cm" svg:height="0.369cm" svg:x="19.05cm" svg:y="21.626cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, showing </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.956cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="22.049cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">strong fishing pressure, mainly on females. It was determined that </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">C. sapidus</text:span><text:span text:style-name="T3"> has a short life cycle, with first entry into the fishery at </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.74cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="22.896cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">7-8 months of age and 7.0 cm, remaining until 24 months of age </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.829cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="23.319cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and 12 cm. The catch curve suggests full recruitment between 12 </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.578cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="23.742cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and <text:s/>13 <text:s/>months <text:s/>of <text:s/>age <text:s/>and <text:s/>8.7 <text:s/>cm. <text:s/>It <text:s/>is <text:s/>concluded <text:s/>that <text:s/>the <text:s/>high </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.989cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="24.165cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fishing intensity has altered the population structure and limits the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.947cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="24.589cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">adequate renewal of the stock, highlighting the need to strengthen </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.126cm" svg:height="0.369cm" svg:x="11.395cm" svg:y="25.012cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">management measures.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
   </draw:page>
   <draw:page draw:name="page2" draw:style-name="dp2" draw:master-page-name="master-page56">
    <draw:frame draw:style-name="gr13" draw:text-style-name="P13" draw:layer="layout" svg:width="13.786cm" svg:height="0.276cm" svg:x="3.864cm" svg:y="26.67cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T12">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr7" draw:text-style-name="P7" draw:layer="layout" svg:width="0.352cm" svg:height="0.39cm" svg:x="0.675cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr7" draw:text-style-name="P7" draw:layer="layout" svg:width="12.105cm" svg:height="0.39cm" svg:x="1.945cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13"><text:s text:c="2"/></text:span><text:span text:style-name="T13">Rev. Fac. Agron. (LUZ). 2026, 43(1): e264316 January-March ISSN 2477-9409.</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.535cm" svg:height="0.369cm" svg:x="1.175cm" svg:y="0.49cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">2-6 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr7" draw:text-style-name="P7" draw:layer="layout" svg:width="0.352cm" svg:height="0.39cm" svg:x="1.706cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">|</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="1.67cm" svg:height="0.471cm" svg:x="1.2cm" svg:y="1.11cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Resumen</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.383cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">El </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.242cm" svg:height="0.369cm" svg:x="2.221cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">cangrejo </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.73cm" svg:height="0.369cm" svg:x="3.598cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">azul, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.598cm" svg:height="0.369cm" svg:x="4.463cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">Callinectes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.204cm" svg:height="0.369cm" svg:x="6.193cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">sapidus</text:span><text:span text:style-name="T3">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.17cm" svg:height="0.369cm" svg:x="7.524cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sostiene </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.574cm" svg:height="0.369cm" svg:x="8.827cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">una </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="9.534cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.459cm" svg:height="0.369cm" svg:x="10.073cm" svg:y="2.011cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">las </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.48cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="2.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">pesquerías <text:s/>más <text:s/>importante del <text:s/>Lago <text:s/>de <text:s/>Maracaibo y <text:s/>del occidente </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.294cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="2.858cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de Venezuela, aunque numerosos estudios previos señalan signos de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.222cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="3.281cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sobreexplotación. Este trabajo analizó la dinámica poblacional de la </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.578cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="3.705cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">especie como base para su manejo, a partir de 46 muestreos mensuales </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.616cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de las capturas en los principales puertos del Lago de Maracaibo desde </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.96cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.551cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">el 2010 al 2014. Las frecuencias de tallas mensuales se analizaron </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.646cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.974cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">con <text:s/>el <text:s/>software <text:s/>FiSAT <text:s/>II, <text:s/>para <text:s/>estimar <text:s/>parámetros <text:s/>de <text:s/>crecimiento </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.502cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="5.415cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(ELEFAN <text:s/>I), <text:s/>mortalidad <text:s/>por <text:s/>pesca <text:s/>(curva <text:s/>de <text:s/>captura <text:s/>linealizada) </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.235cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="5.856cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">y <text:s/>reclutamiento <text:s/>(análisis <text:s/>de <text:s/>cohortes). <text:s/>La <text:s/>mortalidad <text:s/>natural <text:s/>se </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.214cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="6.298cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estimó con varios métodos por su complejidad. Como resultado, los </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.803cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="6.739cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">parámetros de crecimiento fueron L</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="6.117cm" svg:y="6.975cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞ </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.126cm" svg:height="0.369cm" svg:x="6.322cm" svg:y="6.739cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">= 14,67 cm, K = 0,87 a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="9.602cm" svg:y="6.752cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.743cm" svg:height="0.369cm" svg:x="9.765cm" svg:y="6.739cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, con </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.62cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="7.18cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">mayor <text:s/>crecimiento <text:s/>en <text:s/>machos. <text:s/>El <text:s/>reclutamiento <text:s/>fue <text:s/>continuo, <text:s/>con </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.023cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="7.621cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">picos en la estación lluviosa. La mortalidad total se estimó en 7,74 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="8.062cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="1.349cm" svg:y="8.074cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.569cm" svg:height="0.369cm" svg:x="1.512cm" svg:y="8.062cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">; la mortalidad natural entre 0,87 y 2,05 a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="7.39cm" svg:y="8.074cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.821cm" svg:height="0.369cm" svg:x="7.552cm" svg:y="8.062cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, y la mortalidad por </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.765cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="8.503cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">pesca <text:s/>entre <text:s/>5,79 <text:s/>y <text:s/>6,87 <text:s/>a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="4.807cm" svg:y="8.515cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.692cm" svg:height="0.369cm" svg:x="4.969cm" svg:y="8.503cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, <text:s/>evidenciando <text:s/>fuerte <text:s/>presión <text:s/>pesquera, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.469cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="8.944cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">principalmente sobre las hembras. Se determinó que </text:span><text:span text:style-name="T10">C. sapidus</text:span><text:span text:style-name="T3"> posee </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.044cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="9.385cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">un ciclo de vida corto ingresando a la pesquería a los 7-8 meses de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.121cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="9.826cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">edad y 7,0 cm, y permanece en esta hasta los 24 meses y 12 cm. La </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.315cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="10.267cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">curva de captura mostró pleno reclutamiento entre los 12 y 13 meses </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.074cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="10.708cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de edad y 8,7 cm. Se concluye que la alta intensidad de la pesca ha </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.358cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="11.149cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">modificado la estructura poblacional y limita la adecuada renovación </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.345cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="11.59cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">del </text:span><text:span text:style-name="T10">stock</text:span><text:span text:style-name="T3">, destacando la necesidad de reforzar las medidas de manejo.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.357cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.431cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Palabras </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.925cm" svg:height="0.369cm" svg:x="2.744cm" svg:y="12.431cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">clave:</text:span><text:span text:style-name="T3"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.407cm" svg:height="0.369cm" svg:x="3.86cm" svg:y="12.431cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estructura </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.742cm" svg:height="0.369cm" svg:x="5.46cm" svg:y="12.431cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">poblacional, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.75cm" svg:height="0.369cm" svg:x="7.386cm" svg:y="12.431cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">crecimiento, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.607cm" svg:height="0.369cm" svg:x="9.329cm" svg:y="12.431cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">tasa </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="10.129cm" svg:y="12.431cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.366cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.872cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">mortalidad, cangrejo azul, lago tropical.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="1.458cm" svg:height="0.471cm" svg:x="1.2cm" svg:y="13.634cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Resumo</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="14.553cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">O </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.268cm" svg:height="0.369cm" svg:x="2.138cm" svg:y="14.553cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">siri-azul, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.598cm" svg:height="0.369cm" svg:x="3.516cm" svg:y="14.553cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">Callinectes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.204cm" svg:height="0.369cm" svg:x="5.221cm" svg:y="14.553cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">sapidus</text:span><text:span text:style-name="T3">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.17cm" svg:height="0.369cm" svg:x="6.525cm" svg:y="14.553cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sustenta </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.662cm" svg:height="0.369cm" svg:x="7.801cm" svg:y="14.553cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">uma </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.535cm" svg:height="0.369cm" svg:x="8.574cm" svg:y="14.553cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">das </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.314cm" svg:height="0.369cm" svg:x="9.217cm" svg:y="14.553cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">pescarias </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.277cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="14.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">mais <text:s/>importantes <text:s/>do <text:s/>Lago <text:s/>Maracaibo <text:s/>e <text:s/>do <text:s/>oeste <text:s/>da <text:s/>Venezuela, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.09cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="15.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">embora </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.543cm" svg:height="0.369cm" svg:x="2.441cm" svg:y="15.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">numerosos </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.098cm" svg:height="0.369cm" svg:x="4.129cm" svg:y="15.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estudos </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.407cm" svg:height="0.369cm" svg:x="5.37cm" svg:y="15.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">anteriores </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.242cm" svg:height="0.369cm" svg:x="6.927cm" svg:y="15.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">apontem </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.662cm" svg:height="0.369cm" svg:x="8.317cm" svg:y="15.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">para </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.853cm" svg:height="0.369cm" svg:x="9.129cm" svg:y="15.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sinais </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="10.129cm" svg:y="15.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.349cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="15.876cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">superexploração. Este estudo analisou a dinâmica populacional desta </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.349cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.317cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">espécie como base para o manejo, com base em 46 amostras mensais </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.311cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.758cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de <text:s/>capturas <text:s/>realizadas <text:s/>nos <text:s/>principais <text:s/>portos <text:s/>do <text:s/>Lago <text:s/>Maracaibo </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.002cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.199cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">entre 2010 e 2014. As frequências mensais de comprimento foram </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.37cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.641cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">analisadas utilizando o software FiSAT II para estimar os parâmetros </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.43cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.082cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de crescimento (ELEFAN I), mortalidade por pesca (curva de captura </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.421cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.523cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">linearizada) e recrutamento (análise de coorte). A mortalidade natural </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.417cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.964cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">foi estimada utilizando diversos métodos devido à sua complexidade. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.737cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.405cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Os parâmetros de crescimento resultantes foram L</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="8.15cm" svg:y="19.64cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.111cm" svg:height="0.369cm" svg:x="8.29cm" svg:y="19.404cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">= 14,67 cm, K </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.103cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.845cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">= 0,87 a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="2.352cm" svg:y="19.858cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.779cm" svg:height="0.369cm" svg:x="2.515cm" svg:y="19.845cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, com maior crescimento nos machos. O recrutamento foi </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.629cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.286cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">contínuo, com picos durante a estação chuvosa. A mortalidade total foi </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.593cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.727cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estimada em 7,74 a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="3.739cm" svg:y="20.74cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.289cm" svg:height="0.369cm" svg:x="3.901cm" svg:y="20.727cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">; A mortalidade natural variou de 0,87 a 2,05 a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="9.982cm" svg:y="20.74cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="10.145cm" svg:y="20.727cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, e </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.365cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.168cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">a mortalidade por pesca variou de 5,79 a 6,87 a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="7.598cm" svg:y="21.181cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.766cm" svg:height="0.369cm" svg:x="7.761cm" svg:y="21.168cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, evidenciando forte </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.231cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.609cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">pressão pesqueira, principalmente sobre as fêmeas. Foi determinado </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.223cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.05cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">que </text:span><text:span text:style-name="T10">C. sapidus</text:span><text:span text:style-name="T3"> tem um ciclo de vida curto, entrando na pescaria aos </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.04cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.491cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">7-8 meses de idade e 7,0 cm, permanecendo até 24 meses e 12 cm. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.679cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.932cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">A <text:s/>curva <text:s/>de <text:s/>captura <text:s/>mostrou <text:s/>recrutamento <text:s/>completo <text:s/>entre <text:s/>12 <text:s/>e <text:s/>13 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.197cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.373cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">meses de idade e 8,7 cm. Conclui-se que a alta intensidade de pesca </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.607cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.814cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">modificou <text:s/>a <text:s/>estrutura <text:s/>populacional <text:s/>e <text:s/>limita <text:s/>a <text:s/>renovação <text:s/>adequada </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.62cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.255cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">do <text:s/>estoque, <text:s/>destacando <text:s/>a <text:s/>necessidade <text:s/>de <text:s/>fortalecer <text:s/>as <text:s/>medidas <text:s/>de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.073cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.696cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">manejo.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.381cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.52cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Palavras-chave:</text:span><text:span text:style-name="T3"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.259cm" svg:height="0.369cm" svg:x="3.768cm" svg:y="25.52cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estrutura </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.911cm" svg:height="0.369cm" svg:x="5.219cm" svg:y="25.52cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">populacional, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.788cm" svg:height="0.369cm" svg:x="7.311cm" svg:y="25.52cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">crescimento, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.645cm" svg:height="0.369cm" svg:x="9.292cm" svg:y="25.52cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">taxa </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="10.129cm" svg:y="25.52cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.811cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.943cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">mortalidade, siri-azul, lago tropical.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="2.309cm" svg:height="0.471cm" svg:x="11.145cm" svg:y="1.11cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Introduction</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.528cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="2.001cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The lake of Maracaibo, in western Venezuela, is classified as a </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.142cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="2.414cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">eutrophic ecosystem (Rodríguez, 2001). It is home to a rich aquatic </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.489cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="2.827cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">biodiversity, <text:s/>including <text:s/>diverse <text:s/>fishery <text:s/>resources, <text:s/>which <text:s/>provide <text:s/>a </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.523cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="3.24cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">source of food and employment for thousands of artisanal fishers. The </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.675cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="3.652cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">blue <text:s/>crab, </text:span><text:span text:style-name="T10"><text:s/>Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T3">, <text:s/>in <text:s/>the <text:s/>Lake <text:s/>of <text:s/>Maracaibo <text:s/>supports </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.366cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="4.065cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the most important artisanal fishery in western Venezuela in terms of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.286cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="4.478cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">catch volume and foreign exchange earnings, with reported landings </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.514cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="4.891cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of 14,672 tonnes and exports of 2,300 tonnes of crab meat, generating </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.344cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="5.304cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">USD 22 million in 2009 (Andrade de Pasquier </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2012). In 2022, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.43cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="5.717cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the Ministerio del Poder Popular para la Pesca y Acuicultura reported </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.324cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="6.13cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">that landings had decreased to 1,332 tonnes through exportable offer </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.505cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="6.543cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">catalogues.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.735cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="6.956cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Several <text:s/>studies <text:s/>have <text:s/>reported <text:s/>increasing <text:s/>fishing <text:s/>pressure <text:s/>on </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.044cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="7.368cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">blue crabs (Villasmil and Mendoza, 2001), driven by high demand </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.319cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="7.781cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(Perdomo </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2010) and non-compliance with current regulations, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.273cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.194cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">has altered its population dynamics, reducing its biological potential </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.751cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.607cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and <text:s/>affecting <text:s/>its <text:s/>size <text:s/>structure <text:s/>(Andrade <text:s/>de <text:s/>Pasquier </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">., <text:s/>2010), </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.612cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="9.02cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">which <text:s/>may <text:s/>pose <text:s/>a <text:s/>risk <text:s/>to <text:s/>the <text:s/>sustainability <text:s/>of <text:s/>the <text:s/>fishery. <text:s/>Given </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.548cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="9.433cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the <text:s/>national <text:s/>importance <text:s/>of <text:s/>this <text:s/>resource, <text:s/>various <text:s/>regulations <text:s/>have </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.184cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="9.846cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">been <text:s/>established, <text:s/>such <text:s/>as <text:s/>closed <text:s/>seasons, <text:s/>minimum <text:s/>catch <text:s/>sizes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.548cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="10.259cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and <text:s/>classification <text:s/>of <text:s/>fishing <text:s/>gear, <text:s/>in <text:s/>accordance <text:s/>with <text:s/>Decree <text:s/>No. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.027cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="10.672cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">6,732. However, in practice, the regulations have not succeeded in </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.235cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.084cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">preventing the capture of crabs below the legal minimum size or the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.281cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.497cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">use of non-selective fishing gear (Vázquez and Pascal, 2024), which </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.442cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.91cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">affects the population dynamics of the resource (Andrade de Pasquier </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.716cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.323cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2010).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.607cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.819cm" svg:height="0.369cm" svg:x="12.407cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">study </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="13.375cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.53cm" svg:height="0.369cm" svg:x="13.896cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">population </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.374cm" svg:height="0.369cm" svg:x="15.571cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dynamics </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.574cm" svg:height="0.369cm" svg:x="17.097cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="17.822cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.484cm" svg:height="0.369cm" svg:x="18.473cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estimation </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="20.111cm" svg:y="12.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.561cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="13.149cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">population <text:s/>parameters <text:s/>is <text:s/>an <text:s/>essential <text:s/>tool <text:s/>for <text:s/>assessing <text:s/>the <text:s/>status </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.527cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="13.562cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of <text:s/>blue <text:s/>crab <text:s/>resources <text:s/>and <text:s/>implementing <text:s/>sustainable <text:s/>management </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.023cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="13.975cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">measures (Monteiro </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2025). The main parameters considered </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.15cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="14.388cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in fisheries management include the population growth rate and the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.252cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="14.8cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">maximum <text:s/>theoretical <text:s/>size <text:s/>attainable <text:s/>by <text:s/>individuals; <text:s/>recruitment, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.006cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.213cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">which determines the entry of new individuals into the exploitable </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.387cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.626cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fraction of the population; and the mortality rate, which estimates the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.182cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.039cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">intensity of exploitation (Sparre and Venema, 1995). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.621cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="16.452cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">These parameters are obtained using standardised, reproducible </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.116cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.865cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and globally comparable methods, which guarantees the validity of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.137cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.278cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the results (Gallego-Zerrato </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2025). Correct estimation allows </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.442cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.691cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the <text:s/>main <text:s/>sources <text:s/>of <text:s/>population <text:s/>biomass <text:s/>decline <text:s/>to <text:s/>be <text:s/>identified, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.383cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="18.104cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">including natural mortality (M) and fishing mortality (Z). Comparing </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.332cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="18.516cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">these indicators over time allows the current status of the fishery and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.362cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="18.929cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">its trend to be determined. Knowledge of the population dynamics of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.286cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.342cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fishery resources also provides the basis for more complex analyses, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.392cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.755cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">such as estimating exploitation rates and predicting future population </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.853cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="20.168cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">behaviour under different scenarios.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.645cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Due </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.349cm" svg:height="0.369cm" svg:x="12.436cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">to </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="12.929cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.369cm" svg:height="0.369cm" svg:x="13.57cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">relevance </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="15.086cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.53cm" svg:height="0.369cm" svg:x="15.598cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">population </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.374cm" svg:height="0.369cm" svg:x="17.263cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dynamics </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.349cm" svg:height="0.369cm" svg:x="18.78cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.221cm" svg:height="0.369cm" svg:x="19.273cm" svg:y="20.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fisheries </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.882cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">management, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="13.165cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.319cm" svg:height="0.369cm" svg:x="13.798cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">objective </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="15.25cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.574cm" svg:height="0.369cm" svg:x="15.753cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">this </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.819cm" svg:height="0.369cm" svg:x="16.461cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">study </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.607cm" svg:height="0.369cm" svg:x="17.41cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.349cm" svg:height="0.369cm" svg:x="18.155cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">to </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.2cm" svg:height="0.369cm" svg:x="18.64cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estimate </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="19.98cm" svg:y="20.994cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.219cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.407cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fundamental population parameters of </text:span><text:span text:style-name="T10">C. sapidus</text:span><text:span text:style-name="T3">, such as growth (L</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="20.167cm" svg:y="21.636cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="20.306cm" svg:y="21.4cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.993cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">K and t</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="12.143cm" svg:y="22.049cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">o</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">), recruitment and mortality in a tropical lake, in order to lay </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">administration <text:s/>policies <text:s/>that <text:s/>are <text:s/>more <text:s/>in <text:s/>line <text:s/>with <text:s/>its <text:s/>biological, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T2">Materials and methods</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">The Lake of Maracaibo, with an area of 13,210 km</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T11">2</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">, is a body of </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">water located in a basin fed by 135 rivers. It has a salinity gradient </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T15">𝐿𝐿</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">(</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">𝑡𝑡</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">)</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T15">= 𝐿𝐿</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">∞ </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T15">∗ <text:s/>�</text:span><text:span text:style-name="T15">1 − 𝑒𝑒𝑒𝑒𝑒𝑒</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">−𝑘𝑘 ∗</text:span><text:span text:style-name="T16">(𝑡𝑡−𝑡𝑡</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T15">�</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T18">1 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T12">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T13">Guerrero-Ríos </text:span><text:span text:style-name="T19">et al.</text:span><text:span text:style-name="T13"> Rev. Fac. Agron. (LUZ). 2026, 43(1): e264316</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">3-6 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T13">|</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">that varies from higher salinity in the north to lower salinity in the </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">south. <text:s/>It <text:s/>is <text:s/>characterised <text:s/>by <text:s/>being <text:s/>a <text:s/>eutrophic <text:s/>environment, <text:s/>with </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">anticyclonic <text:s/>circulation <text:s/>and <text:s/>an <text:s/>anoxic <text:s/>central <text:s/>hypolimnetic <text:s/>zone. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">The region has two distinct seasons: rainy from May to November </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">and dry from December to April, which influence the temperature and </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">changes <text:s/>in <text:s/>water <text:s/>salinity <text:s/>(Rodríguez, <text:s/>2001). <text:s/>These <text:s/>environmental </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">conditions directly affect the life cycle of the species.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">Sampling and data collection</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">For <text:s/>population <text:s/>dynamics <text:s/>analyses, <text:s/>commercial <text:s/>catches <text:s/>of </text:span><text:span text:style-name="T10"><text:s/>C. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T10">sapidus</text:span><text:span text:style-name="T3"> <text:s/>extracted <text:s/>with <text:s/>traps <text:s/>and <text:s/>longlines <text:s/>were <text:s/>used, <text:s/>collecting </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">data <text:s/>on <text:s/>sex <text:s/>and <text:s/>carapace <text:s/>width <text:s/>(CW), <text:s/>excluding <text:s/>lateral <text:s/>spines. A </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">precision vernier caliper with a resolution of 0.1 cm was used for the </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">measurements. A total of 46 monthly samples were collected between </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">May 2010 and August 2014 at the three main landing ports of the </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">Lake of Maracaibo (Figure 1). This formed the most complete and </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">rigorous database available to date.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">Figure <text:s/>1. <text:s/>The <text:s/>Lake <text:s/>of <text:s/>Maracaibo <text:s/>system <text:s/>and <text:s/>the <text:s/>three <text:s/>main </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">landing <text:s/>ports <text:s/>for <text:s/>blue <text:s/>crab <text:s/>(</text:span><text:span text:style-name="T20">Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T14">). </text:span><text:span text:style-name="T3"><text:s/>B: </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">Barranquitas; Pc: Puerto Concha; Co: Caño La O.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">Estimation of growth parameters</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">Monthly <text:s/>size <text:s/>frequency <text:s/>distributions <text:s/>were <text:s/>constructed <text:s/>in <text:s/>0.5 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">cm <text:s/>classes <text:s/>to <text:s/>estimate <text:s/>growth <text:s/>parameters. <text:s/>The <text:s/>von <text:s/>Bertalanffy </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">model <text:s/>(1934) <text:s/>is <text:s/>one <text:s/>of <text:s/>the <text:s/>most <text:s/>widely <text:s/>used <text:s/>representations <text:s/>to </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">describe </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">individual </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">growth </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">decapod </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">crustacean </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">populations, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">using <text:s/>the <text:s/>size <text:s/>structure <text:s/>of <text:s/>catches <text:s/>(Sparre <text:s/>and <text:s/>Venema, <text:s/>1995). </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">von Bertalanffy’s general equation for length growth is as follows: </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">; where: t = age in years; t</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">o</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">= theoretical </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">age <text:s/>in <text:s/>years <text:s/>at <text:s/>zero <text:s/>length; <text:s/>Lt <text:s/>= <text:s/>total <text:s/>length <text:s/>at <text:s/>age <text:s/>t <text:s/>in <text:s/>cm; <text:s/>L</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s text:c="2"/></text:span><text:span text:style-name="T3">= </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">asymptotic length; K = curvature parameter per year.</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The growth parameters L</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">, K and to were estimated by analysing </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">monthly size distributions using the ELEFAN I routine of the FAO-</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ICLARM <text:s/>Stock <text:s/>Assessment <text:s/>Tools <text:s/>(FiSAT <text:s/>II, <text:s/>2005) <text:s/>programme. </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>parameters <text:s/>and <text:s/>growth <text:s/>curve <text:s/>were <text:s/>estimated <text:s/>based <text:s/>on <text:s/>the </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">maximum </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">value </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">of </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">goodness-of-fit </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">index </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">(Rn). </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">From </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">these </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">parameters, the growth index Phi prima (Ø’) was calculated for </text:span><text:span text:style-name="T10">C. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T10">sapidus</text:span><text:span text:style-name="T3"> <text:s/>and <text:s/>comparisons <text:s/>were <text:s/>made <text:s/>with <text:s/>Ø’ <text:s/>values <text:s/>reported <text:s/>for </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">the <text:s/>species, <text:s/>according <text:s/>to <text:s/>the <text:s/>expression: </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.629cm" svg:height="0.369cm" svg:x="9.897cm" svg:y="24.93cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">. To </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.303cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.353cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">identify cohorts or groups of crabs of the same age, the monthly size </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.324cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="1.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">composition was used, which was analysed using the Bhattacharya’s </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">method (1967).</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.019cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="1.98cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>existence <text:s/>of <text:s/>differences <text:s/>in <text:s/>carapace <text:s/>width <text:s/>between <text:s/>sexes </text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.468cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="2.404cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was <text:s/>determined <text:s/>using <text:s/>the <text:s/>Mann-Whitney <text:s/>test, <text:s/>after <text:s/>verifying <text:s/>the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.188cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="2.827cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">distribution <text:s/>of <text:s/>the <text:s/>data <text:s/>with <text:s/>the <text:s/>Kolmogorov-Smirnov <text:s/>test <text:s/>and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.574cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="3.25cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the <text:s/>homogeneity <text:s/>of <text:s/>variance <text:s/>with <text:s/>the <text:s/>Levene <text:s/>test <text:s/>in <text:s/>Statgraphics </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.626cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="3.674cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Centurion XVI (α = 0.05). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.019cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="4.097cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Estimation of mortality rate</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.824cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="4.52cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Total mortality (Z) was estimated from the linearised catch curve </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.73cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="4.943cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">converted <text:s/>to <text:s/>sizes <text:s/>in <text:s/>Pauly’s <text:s/>equation, <text:s/>previously <text:s/>applied <text:s/>in <text:s/>other </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.056cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="5.367cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">studies in the area (Villasmil </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 1997). This is a linear equation </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in which: </text:span></text:p>
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      <text:p/>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="18.091cm" svg:y="6.461cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The most commonly used methods for estimating M in decapod </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">age of mass maturation (Tm) of the population using: </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Pauly method (1980), who relates M to growth parameters and </text:span></text:p>
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      <text:p/>
     </draw:image>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.019cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="10.118cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">average water temperature (T, in °C).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.685cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="11.265cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">To <text:s/>determine <text:s/>the <text:s/>age <text:s/>of <text:s/>mass <text:s/>maturation <text:s/>(Tm), <text:s/>cumulative </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.561cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.688cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">frequency distributions of sizes were used and subsequently converted </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.353cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.111cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">to age using the inverse von Bertalanffy equation. The average water </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.256cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.534cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">temperature <text:s/>used <text:s/>to <text:s/>estimate <text:s/>mortality <text:s/>was <text:s/>taken <text:s/>from <text:s/>regional </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.89cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.958cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">literature, with a value of 29 °C (Rodríguez, 2001).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.727cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="13.381cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Once Z and M were known, fishing mortality (F) was calculated </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.188cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="13.804cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">using the relationship: Z = M + F; where F = Z – M. Since Z and M </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.985cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="14.228cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">were estimated using three different methods, a matrix of F values </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.506cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="14.651cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was constructed, with Z and M as inputs, in order to obtain an F value </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.13cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.074cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">for each possible combination.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.808cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="15.497cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Estimation of recruitment </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.023cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="15.921cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Recruitment was determined from the decomposition of frequency </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.772cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.344cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">distributions </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.684cm" svg:height="0.369cm" svg:x="13.073cm" svg:y="16.344cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">over </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.764cm" svg:height="0.369cm" svg:x="13.92cm" svg:y="16.344cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">time, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.819cm" svg:height="0.369cm" svg:x="14.851cm" svg:y="16.344cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">using </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="15.829cm" svg:y="16.344cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.305cm" svg:height="0.369cm" svg:x="16.49cm" svg:y="16.344cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">back-calculation </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.522cm" svg:height="0.369cm" svg:x="18.957cm" svg:y="16.344cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">algorithms </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.286cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.767cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">included in FiSAT II, which allowed the seasonality and intensity of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.193cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.191cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the entry of new individuals into the exploitable fraction of the crab </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.127cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.614cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">population in the Lake of Maracaibo to be described.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="4.058cm" svg:height="0.471cm" svg:x="11.145cm" svg:y="18.359cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Results and discussion</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.115cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="19.261cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Growth</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.947cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="19.72cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Size-frequency <text:s/>distributions <text:s/>showed <text:s/>that <text:s/>males <text:s/>reached <text:s/>larger </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.51cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="20.178cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sizes than females. The size range for females ranged from 5.0 to 11.5 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.564cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="20.637cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">cm, and for males from 5.0 to 13.5 cm (Table 1).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.727cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="21.078cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Given <text:s/>the <text:s/>non-normal <text:s/>distribution <text:s/>of <text:s/>the <text:s/>data <text:s/>(Kolmogorov-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.269cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.502cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Smirnov <text:s/>test, <text:s/>p <text:s/>&lt; <text:s/>0.05), <text:s/>the <text:s/>non-parametric <text:s/>Mann-Whitney <text:s/>test </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.705cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.925cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was <text:s/>applied <text:s/>to <text:s/>compare <text:s/>carapace <text:s/>width <text:s/>between <text:s/>sexes. <text:s/>Males <text:s/>had </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.33cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.348cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">significantly higher values than females (W = 1.41x10</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="18.458cm" svg:y="22.362cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.92cm" svg:height="0.369cm" svg:x="18.556cm" svg:y="22.349cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">; p &lt; 0.0001), </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.637cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.772cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">with <text:s/>medians <text:s/>for <text:s/>males <text:s/>of <text:s/>8.86 <text:s/>cm <text:s/>(IQR: <text:s/>8.11–9.56 <text:s/>cm) <text:s/>and <text:s/>for </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.739cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.195cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">females <text:s/>of <text:s/>8.73 <text:s/>cm <text:s/>(IQR: <text:s/>8.11–9.23 <text:s/>cm). <text:s/>However, <text:s/>the <text:s/>difference </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.722cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.619cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">between <text:s/>the <text:s/>medians <text:s/>was <text:s/>small <text:s/>(0.13 <text:s/>cm), <text:s/>suggesting <text:s/>mild <text:s/>sexual </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.321cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.042cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dimorphism, likely amplified by the large sample size.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.841cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="24.465cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>estimated <text:s/>population <text:s/>growth <text:s/>parameters <text:s/>for <text:s/>the <text:s/>grouped </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.439cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.888cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sexes showed values of L</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="14.535cm" svg:y="25.125cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞</text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">= 14.67 cm and K = 0.87 yr</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.928cm" svg:height="0.369cm" svg:x="18.565cm" svg:y="24.889cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">. For females, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">L</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="11.35cm" svg:y="25.548cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.829cm" svg:height="0.369cm" svg:x="11.489cm" svg:y="25.312cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">= 14.36 cm and K = 0.80 yr</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.811cm" svg:height="0.369cm" svg:x="15.576cm" svg:y="25.312cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">were obtained, while for males the </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T15">𝐿𝐿</text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr15" draw:text-style-name="P14" draw:layer="layout" svg:width="0.198cm" svg:height="0.179cm" svg:x="1.365cm" svg:y="20.861cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">(</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr15" draw:text-style-name="P14" draw:layer="layout" svg:width="0.205cm" svg:height="0.179cm" svg:x="1.448cm" svg:y="20.87cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">𝑡𝑡</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr15" draw:text-style-name="P14" draw:layer="layout" svg:width="0.198cm" svg:height="0.179cm" svg:x="1.542cm" svg:y="20.861cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.739cm" svg:height="0.247cm" svg:x="1.713cm" svg:y="20.762cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T15">= 𝐿𝐿</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr15" draw:text-style-name="P14" draw:layer="layout" svg:width="0.222cm" svg:height="0.179cm" svg:x="2.149cm" svg:y="20.87cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">∞ </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="2.415cm" svg:height="0.247cm" svg:x="2.451cm" svg:y="20.762cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T15">∗ <text:s text:c="2"/>�</text:span><text:span text:style-name="T15">1 − 𝑒𝑒𝑒𝑒𝑒𝑒</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr15" draw:text-style-name="P14" draw:layer="layout" svg:width="1.281cm" svg:height="0.179cm" svg:x="3.775cm" svg:y="20.728cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">−𝑘𝑘 ∗</text:span><text:span text:style-name="T16">(𝑡𝑡−𝑡𝑡</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr16" draw:text-style-name="P15" draw:layer="layout" svg:width="0.163cm" svg:height="0.145cm" svg:x="4.594cm" svg:y="20.789cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr15" draw:text-style-name="P14" draw:layer="layout" svg:width="0.198cm" svg:height="0.179cm" svg:x="4.701cm" svg:y="20.728cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.286cm" svg:height="0.247cm" svg:x="4.793cm" svg:y="20.762cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T15">�</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr17" draw:text-style-name="P16" draw:layer="layout" svg:width="0.256cm" svg:height="0.226cm" svg:x="4.919cm" svg:y="20.788cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr17" draw:text-style-name="P16" draw:layer="layout" svg:width="0.256cm" svg:height="0.226cm" svg:x="-2.782cm" svg:y="20.788cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">1 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
   </draw:page>
   <draw:page draw:name="page4" draw:style-name="dp2" draw:master-page-name="master-page56">
    <draw:frame draw:style-name="gr13" draw:text-style-name="P13" draw:layer="layout" svg:width="13.786cm" svg:height="0.276cm" svg:x="3.864cm" svg:y="26.67cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T12">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr7" draw:text-style-name="P7" draw:layer="layout" svg:width="0.352cm" svg:height="0.39cm" svg:x="0.675cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr7" draw:text-style-name="P7" draw:layer="layout" svg:width="12.105cm" svg:height="0.39cm" svg:x="1.945cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13"><text:s text:c="2"/></text:span><text:span text:style-name="T13">Rev. Fac. Agron. (LUZ). 2026, 43(1): e264316 January-March ISSN 2477-9409.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.535cm" svg:height="0.369cm" svg:x="1.175cm" svg:y="0.49cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">4-6 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr7" draw:text-style-name="P7" draw:layer="layout" svg:width="0.352cm" svg:height="0.39cm" svg:x="1.706cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">|</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.908cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Table </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.341cm" svg:height="0.369cm" svg:x="2.201cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">1. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.611cm" svg:height="0.369cm" svg:x="2.666cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Frequency </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.78cm" svg:height="0.369cm" svg:x="4.399cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">distribution </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="6.307cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.615cm" svg:height="0.369cm" svg:x="6.798cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">Callinectes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.137cm" svg:height="0.369cm" svg:x="8.538cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">sapidus</text:span><text:span text:style-name="T14"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.739cm" svg:height="0.369cm" svg:x="9.793cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">sizes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.219cm" svg:height="0.369cm" svg:x="2.611cm" svg:y="1.531cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">for <text:s/>grouped <text:s/>sexes, <text:s/>females <text:s/>and <text:s/>males <text:s/>in <text:s/>the <text:s/>Lake <text:s/>of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="2.381cm" svg:x2="3.814cm" svg:y2="2.381cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="3.814cm" svg:y1="2.381cm" svg:x2="6.175cm" svg:y2="2.381cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.175cm" svg:y1="2.381cm" svg:x2="8.074cm" svg:y2="2.381cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.074cm" svg:y1="2.381cm" svg:x2="10.444cm" svg:y2="2.381cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="11.456cm" svg:x2="3.814cm" svg:y2="11.456cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="3.814cm" svg:y1="11.456cm" svg:x2="6.175cm" svg:y2="11.456cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.175cm" svg:y1="11.456cm" svg:x2="8.074cm" svg:y2="11.456cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.074cm" svg:y1="11.456cm" svg:x2="10.444cm" svg:y2="11.456cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="11.93cm" svg:x2="3.814cm" svg:y2="11.93cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="3.814cm" svg:y1="11.93cm" svg:x2="6.175cm" svg:y2="11.93cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.175cm" svg:y1="11.93cm" svg:x2="8.074cm" svg:y2="11.93cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.074cm" svg:y1="11.93cm" svg:x2="10.444cm" svg:y2="11.93cm">
     <text:p/>
    </draw:line>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.422cm" svg:height="0.369cm" svg:x="2.611cm" svg:y="1.933cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Maracaibo from 2010 to 2014. </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.493cm" svg:height="0.314cm" svg:x="2.265cm" svg:y="2.462cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Size</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.75cm" svg:height="0.314cm" svg:x="4.131cm" svg:y="2.462cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Sexes grouped</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.001cm" svg:height="0.314cm" svg:x="6.631cm" svg:y="2.462cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Females</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.73cm" svg:height="0.314cm" svg:x="8.9cm" svg:y="2.462cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Males</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.362cm" svg:height="0.314cm" svg:x="2.331cm" svg:y="2.94cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">5.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="5.893cm" svg:y="2.94cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="7.793cm" svg:y="2.94cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="10.163cm" svg:y="2.94cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.362cm" svg:height="0.314cm" svg:x="2.331cm" svg:y="3.418cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">5.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.29cm" svg:height="0.314cm" svg:x="5.752cm" svg:y="3.418cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">10</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="7.793cm" svg:y="3.418cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">6</text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="5.893cm" svg:y="10.585cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="7.793cm" svg:y="10.585cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="10.163cm" svg:y="10.585cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.261cm" svg:y="11.062cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">13.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="5.893cm" svg:y="11.062cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="7.793cm" svg:y="11.062cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="10.163cm" svg:y="11.062cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.654cm" svg:height="0.314cm" svg:x="2.2cm" svg:y="11.536cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Total</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.794cm" svg:height="0.314cm" svg:x="5.258cm" svg:y="11.536cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">28,728</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.794cm" svg:height="0.314cm" svg:x="7.158cm" svg:y="11.536cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">14,307</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.794cm" svg:height="0.314cm" svg:x="9.528cm" svg:y="11.536cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">14,422</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.882cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.334cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">values were L</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.698cm" svg:height="0.369cm" svg:x="3.275cm" svg:y="12.334cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">= 14.75 cm and K = 0.82 a</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.13cm" svg:height="0.369cm" svg:x="7.333cm" svg:y="12.334cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">. These results showed </text:span></text:p>
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      <text:p/>
     </draw:image>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.601cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.757cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">slightly higher growth in males of </text:span><text:span text:style-name="T10">C. sapidus</text:span><text:span text:style-name="T3"> (Figure 2).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.035cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Figure </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.341cm" svg:height="0.369cm" svg:x="2.349cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">2. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.2cm" svg:height="0.369cm" svg:x="2.805cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Growth </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.887cm" svg:height="0.369cm" svg:x="4.121cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">curve </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.514cm" svg:height="0.369cm" svg:x="5.126cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">for </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.908cm" svg:height="0.369cm" svg:x="5.753cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">males </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.557cm" svg:height="0.369cm" svg:x="6.777cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">(♂) </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">and </text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">females </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.557cm" svg:height="0.369cm" svg:x="9.487cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">(♀) </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="10.166cm" svg:y="17.115cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.273cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.517cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">Callinectes sapidus</text:span><text:span text:style-name="T14"> in the Lake of Maracaibo, obtained using the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">von Bertalanffy growth equation.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.977cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="18.762cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The asymptotic length of females was lower, in line with previous </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.226cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.204cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">studies in the region (Andrade de Pasquier </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2012). This sexual </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.641cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.645cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dimorphism <text:s/>represents <text:s/>an <text:s/>ecological <text:s/>strategy <text:s/>that <text:s/>confers <text:s/>adaptive </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.256cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.086cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">advantages <text:s/>for <text:s/>the <text:s/>reproduction <text:s/>of <text:s/>the <text:s/>species. <text:s/>Males, <text:s/>reaching </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.121cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.527cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">larger sizes and possessing larger bodies, can defend territories and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.438cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.968cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">compete for females, which influences sexual selection processes and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.116cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.409cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the genetic structure of the population. At the population level, this </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">differentiation <text:s/>reduces <text:s/>intraspecific <text:s/>competition <text:s/>between <text:s/>sexes <text:s/>by </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.311cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.291cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">decreasing pressure on the same resources, which favours ecological </text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">partitioning (Marchessaux </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2023).</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.765cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="23.173cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The growth parameters obtained for the total population allowed </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.358cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.614cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">us to calculate a growth performance index of Ø´ = 2.27, a value that </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.646cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.055cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">falls within the range reported for species of the same genus. Likewise, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.648cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.496cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the <text:s/>estimates <text:s/>of <text:s/>L</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="3.773cm" svg:y="24.731cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">∞</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.83cm" svg:height="0.369cm" svg:x="3.912cm" svg:y="24.495cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s text:c="2"/></text:span><text:span text:style-name="T3">and <text:s/>K <text:s/>were <text:s/>comparable <text:s/>to <text:s/>those <text:s/>observed <text:s/>in </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.633cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.936cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">populations <text:s/>of <text:s/>related <text:s/>taxa <text:s/>(Table <text:s/>2). <text:s/>Consequently, <text:s/>the <text:s/>estimated </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.171cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.377cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">growth parameters are considered consistent and adequate for stock </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.503cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.818cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">assessment and application in fisheries management measures. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.908cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="1.129cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Table </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.341cm" svg:height="0.369cm" svg:x="12.155cm" svg:y="1.129cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">2. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.86cm" svg:height="0.369cm" svg:x="12.629cm" svg:y="1.129cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Comparison </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="14.619cm" svg:y="1.129cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.111cm" svg:height="0.369cm" svg:x="15.12cm" svg:y="1.129cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">growth </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.725cm" svg:height="0.369cm" svg:x="16.36cm" svg:y="1.129cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">parameters </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.514cm" svg:height="0.369cm" svg:x="18.22cm" svg:y="1.129cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">for </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.615cm" svg:height="0.369cm" svg:x="18.863cm" svg:y="1.129cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">Callinectes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="12.93cm" svg:y1="2.079cm" svg:x2="13.797cm" svg:y2="2.079cm">
     <text:p/>
    </draw:line>
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     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="16.847cm" svg:y1="2.079cm" svg:x2="17.676cm" svg:y2="2.079cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="17.676cm" svg:y1="2.079cm" svg:x2="18.632cm" svg:y2="2.079cm">
     <text:p/>
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    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="18.632cm" svg:y1="2.079cm" svg:x2="19.413cm" svg:y2="2.079cm">
     <text:p/>
    </draw:line>
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     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="11.145cm" svg:y1="2.74cm" svg:x2="12.93cm" svg:y2="2.74cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="12.93cm" svg:y1="2.74cm" svg:x2="13.797cm" svg:y2="2.74cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="13.797cm" svg:y1="2.74cm" svg:x2="16.847cm" svg:y2="2.74cm">
     <text:p/>
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    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="16.847cm" svg:y1="2.74cm" svg:x2="17.676cm" svg:y2="2.74cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="17.676cm" svg:y1="2.74cm" svg:x2="18.632cm" svg:y2="2.74cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="18.632cm" svg:y1="2.74cm" svg:x2="19.413cm" svg:y2="2.74cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="19.413cm" svg:y1="2.74cm" svg:x2="20.371cm" svg:y2="2.74cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="11.145cm" svg:y1="3.695cm" svg:x2="12.93cm" svg:y2="3.695cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="12.93cm" svg:y1="3.695cm" svg:x2="13.797cm" svg:y2="3.695cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="13.797cm" svg:y1="3.695cm" svg:x2="16.847cm" svg:y2="3.695cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="16.847cm" svg:y1="3.695cm" svg:x2="17.676cm" svg:y2="3.695cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="17.676cm" svg:y1="3.695cm" svg:x2="18.632cm" svg:y2="3.695cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="18.632cm" svg:y1="3.695cm" svg:x2="19.413cm" svg:y2="3.695cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="19.413cm" svg:y1="3.695cm" svg:x2="20.371cm" svg:y2="3.695cm">
     <text:p/>
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    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="11.145cm" svg:y1="4.541cm" svg:x2="12.93cm" svg:y2="4.541cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="12.93cm" svg:y1="4.541cm" svg:x2="13.797cm" svg:y2="4.541cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="13.797cm" svg:y1="4.541cm" svg:x2="16.847cm" svg:y2="4.541cm">
     <text:p/>
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    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="16.847cm" svg:y1="4.541cm" svg:x2="17.676cm" svg:y2="4.541cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="17.676cm" svg:y1="4.541cm" svg:x2="18.632cm" svg:y2="4.541cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="18.632cm" svg:y1="4.541cm" svg:x2="19.413cm" svg:y2="4.541cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="19.413cm" svg:y1="4.541cm" svg:x2="20.371cm" svg:y2="4.541cm">
     <text:p/>
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    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="11.145cm" svg:y1="6.035cm" svg:x2="12.93cm" svg:y2="6.035cm">
     <text:p/>
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    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="12.93cm" svg:y1="6.035cm" svg:x2="13.797cm" svg:y2="6.035cm">
     <text:p/>
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     <text:p/>
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    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="16.847cm" svg:y1="6.035cm" svg:x2="17.676cm" svg:y2="6.035cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T20">sapidus</text:span><text:span text:style-name="T14">.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T21">Year</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T21">Location</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T21">Sex</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T20">L</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T23">∞</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T21">K</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Ø’</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Villasmil </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">et al.</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1997</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Lake of Maracaibo </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">(VEN)</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">M</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">15.0</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1.75</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.595</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">F</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">14.7</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1.55</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.525</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Ju </text:span><text:span text:style-name="T24">et al.</text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="13.082cm" svg:y="3.965cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2001</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Chesapeake Bay, USA</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.908cm" svg:y="3.965cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">24.0</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1.09</text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="3.965cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.760</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.777cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="4.627cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Rosas-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.336cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="4.966cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Correa and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.098cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="5.304cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">De Jesús-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.124cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="5.643cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Navarrete</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="13.082cm" svg:y="5.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2008</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.538cm" svg:height="0.314cm" svg:x="13.939cm" svg:y="5.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Chetumal Bay (MEX)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.168cm" svg:y="5.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.908cm" svg:y="5.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">23.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.777cm" svg:y="5.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.51</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="5.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.220</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.056cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="6.121cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Andrade </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="6.459cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">et al.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="13.087cm" svg:y="6.29cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2011</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.25cm" svg:height="0.314cm" svg:x="13.938cm" svg:y="6.121cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Lake of Maracaibo </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.768cm" svg:height="0.314cm" svg:x="13.938cm" svg:y="6.459cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">(VEN)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.168cm" svg:y="6.29cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.908cm" svg:y="6.29cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">16.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="6.29cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.84</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="6.29cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.375</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.391cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="7.176cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Sumer </text:span><text:span text:style-name="T24">et al.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="13.081cm" svg:y="7.176cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2013</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.631cm" svg:height="0.314cm" svg:x="13.938cm" svg:y="7.176cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Beymelek Lake (TUR)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.136cm" svg:y="6.937cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">M</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.908cm" svg:y="6.937cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">23.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="6.937cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.86</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="6.937cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.658</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.183cm" svg:y="7.415cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">F</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.908cm" svg:y="7.415cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">18.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="7.415cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1.06</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="7.415cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.541</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.348cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="8.371cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Türeli </text:span><text:span text:style-name="T24">et al.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="13.081cm" svg:y="8.371cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2016</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.821cm" svg:height="0.314cm" svg:x="13.938cm" svg:y="8.371cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Yumurtalik Cove (TUR)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.167cm" svg:y="7.893cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.907cm" svg:y="7.893cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">20.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="7.893cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.81</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="7.893cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.515</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.136cm" svg:y="8.371cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">M</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.907cm" svg:y="8.371cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">20.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="8.371cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.50</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="8.371cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.315</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.183cm" svg:y="8.849cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">F</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.907cm" svg:y="8.849cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">20.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="8.849cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.74</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="8.849cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.499</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.289cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="9.327cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Rodríguez-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.395cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="9.665cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Castro </text:span><text:span text:style-name="T24">et al.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="13.081cm" svg:y="9.496cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2016</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.225cm" svg:height="0.314cm" svg:x="13.938cm" svg:y="9.496cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Tamaulipas (MEX)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.167cm" svg:y="9.496cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.907cm" svg:y="9.496cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">18.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="9.496cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.62</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="9.496cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.313</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.141cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="10.452cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Mehanna </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="10.791cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">et al.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="13.081cm" svg:y="10.621cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2019</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Bardawil Lake (EGY)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.167cm" svg:y="10.143cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.907cm" svg:y="10.143cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">9.96</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="10.143cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1.42</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="10.143cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.149</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.136cm" svg:y="10.621cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">M</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="17.907cm" svg:y="10.621cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">9.71</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="10.621cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1.53</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="10.621cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.159</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.183cm" svg:y="11.099cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">F</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="17.842cm" svg:y="11.099cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">10.11</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="11.099cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1.45</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="11.099cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.171</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.039cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="11.886cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Presente </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.832cm" svg:height="0.314cm" svg:x="11.286cm" svg:y="12.224cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">estudio</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="13.081cm" svg:y="12.055cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2025</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.25cm" svg:height="0.314cm" svg:x="13.938cm" svg:y="11.886cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Lake of Maracaibo </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.768cm" svg:height="0.314cm" svg:x="13.938cm" svg:y="12.224cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">(VEN)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.167cm" svg:y="11.577cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="17.837cm" svg:y="11.577cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">14.67</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="11.577cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.87</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="11.577cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.272</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.136cm" svg:y="12.055cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">M</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="17.837cm" svg:y="12.055cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">14.75</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="12.055cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.82</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="12.055cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.251</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.183cm" svg:y="12.533cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">F</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="17.837cm" svg:y="12.533cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">14.37</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="18.776cm" svg:y="12.533cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.80</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.65cm" svg:height="0.314cm" svg:x="19.575cm" svg:y="12.533cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.218</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr13" draw:text-style-name="P13" draw:layer="layout" svg:width="4.083cm" svg:height="0.276cm" svg:x="11.145cm" svg:y="12.97cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T25">B = Both sexes, M = Males, F = Females</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.382cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="13.717cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Mortality</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.486cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="14.175cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The total mortality rate (Z), estimated using the Pauly method, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.564cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="14.634cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was 7.74 yr</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="12.745cm" svg:y="14.647cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.511cm" svg:height="0.369cm" svg:x="12.908cm" svg:y="14.634cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">for both sexes combined, 6.85 yr</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="17.544cm" svg:y="14.647cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.674cm" svg:height="0.369cm" svg:x="17.707cm" svg:y="14.634cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">for males and 9.37 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.092cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">yr</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="11.417cm" svg:y="15.105cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.213cm" svg:height="0.369cm" svg:x="11.58cm" svg:y="15.092cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s text:c="2"/></text:span><text:span text:style-name="T3">for <text:s/>females <text:s/>(Figure <text:s/>3). This <text:s/>difference <text:s/>shows <text:s/>that <text:s/>females <text:s/>are </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.133cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.551cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">more vulnerable to fishing pressure than males of the same age. On </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.197cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.009cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">average, males and females were exposed to total mortality at a size </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.451cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.468cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of 8.8 and 8.7 cm, respectively, and at an age of 12-13 months. These </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.044cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.926cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">results indicate that full exploitation of the resource occurs at sizes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.176cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.385cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and ages close to first sexual maturity, when individuals begin their </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.023cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.843cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">reproductive migration for spawning.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.087cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.463cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Figure 3. Estimated total mortality curve (Z) for males (♂) and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.223cm" svg:height="0.369cm" svg:x="12.556cm" svg:y="21.865cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">females <text:s/>(♀) <text:s/>of </text:span><text:span text:style-name="T20"><text:s/>Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T14">, <text:s/>obtained <text:s/>using <text:s/>the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.042cm" svg:height="0.369cm" svg:x="12.556cm" svg:y="22.267cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">capture curve method, in the Lake of Maracaibo.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.036cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="23.079cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Natural <text:s/>mortality <text:s/>(M) <text:s/>estimated <text:s/>using <text:s/>the <text:s/>Taylor <text:s/>method <text:s/>was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.959cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.488cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">0.87 yr</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="12.099cm" svg:y="23.502cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.511cm" svg:height="0.369cm" svg:x="12.262cm" svg:y="23.489cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">for both sexes combined, 0.82 yr</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="16.812cm" svg:y="23.502cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">for females and 0.80 yr</text:span></text:p>
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    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="20.227cm" svg:y="23.502cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="20.39cm" svg:y="23.489cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.349cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.898cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">for males. The Tm of the population was 1.05 years on average, 1.17 </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.176cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.307cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">years for females and 1.11 years for males. The Rikhter and Efanov </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.858cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.716cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">method <text:s/>yielded <text:s/>values <text:s/>of <text:s/>1.20 <text:s/>yr</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.918cm" svg:height="0.369cm" svg:x="15.971cm" svg:y="24.716cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s text:c="2"/></text:span><text:span text:style-name="T3">for <text:s/>the <text:s/>population, <text:s/>1.25 <text:s/>a</text:span></text:p>
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    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="19.701cm" svg:y="24.729cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.645cm" svg:height="0.369cm" svg:x="19.864cm" svg:y="24.716cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s text:c="2"/></text:span><text:span text:style-name="T3">for </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.737cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="25.125cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">females, and 1.31 yr</text:span></text:p>
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    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="13.894cm" svg:y="25.138cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.369cm" svg:height="0.369cm" svg:x="14.056cm" svg:y="25.125cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">for males. The Pauly method estimated higher </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.987cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="25.535cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">values, 2.05 yr</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.626cm" svg:height="0.369cm" svg:x="13.274cm" svg:y="25.535cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">for the population, 1.95 yr</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.211cm" svg:height="0.369cm" svg:x="17.033cm" svg:y="25.535cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">for females and 1.97 yr</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="20.227cm" svg:y="25.548cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="20.39cm" svg:y="25.535cm">
     <draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">for males (Table 3).</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T12">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T13">Guerrero-Ríos </text:span><text:span text:style-name="T19">et al.</text:span><text:span text:style-name="T13"> Rev. Fac. Agron. (LUZ). 2026, 43(1): e264316</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">Table 3. Annual estimates of total mortality (Z), natural mortality </text:span></text:p>
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     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.119cm" svg:y1="9.676cm" svg:x2="10.444cm" svg:y2="9.676cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="2.481cm" svg:x2="1.944cm" svg:y2="2.481cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.944cm" svg:y1="2.481cm" svg:x2="2.798cm" svg:y2="2.481cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.798cm" svg:y1="2.481cm" svg:x2="4.44cm" svg:y2="2.481cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="4.44cm" svg:y1="2.481cm" svg:x2="6.119cm" svg:y2="2.481cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.119cm" svg:y1="2.481cm" svg:x2="10.444cm" svg:y2="2.481cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="3.293cm" svg:x2="1.944cm" svg:y2="3.293cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.944cm" svg:y1="3.293cm" svg:x2="2.798cm" svg:y2="3.293cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.798cm" svg:y1="3.293cm" svg:x2="4.44cm" svg:y2="3.293cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="4.44cm" svg:y1="3.293cm" svg:x2="6.119cm" svg:y2="3.293cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr18" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.119cm" svg:y1="3.293cm" svg:x2="10.444cm" svg:y2="3.293cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="5.745cm" svg:x2="1.944cm" svg:y2="5.745cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.944cm" svg:y1="5.745cm" svg:x2="2.798cm" svg:y2="5.745cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.798cm" svg:y1="5.745cm" svg:x2="4.44cm" svg:y2="5.745cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="4.44cm" svg:y1="5.745cm" svg:x2="6.119cm" svg:y2="5.745cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.119cm" svg:y1="5.745cm" svg:x2="10.444cm" svg:y2="5.745cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="7.179cm" svg:x2="1.944cm" svg:y2="7.179cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.944cm" svg:y1="7.179cm" svg:x2="2.798cm" svg:y2="7.179cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.798cm" svg:y1="7.179cm" svg:x2="4.44cm" svg:y2="7.179cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="4.44cm" svg:y1="7.179cm" svg:x2="6.119cm" svg:y2="7.179cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.119cm" svg:y1="7.179cm" svg:x2="10.444cm" svg:y2="7.179cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="7.996cm" svg:x2="1.944cm" svg:y2="7.996cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.944cm" svg:y1="7.996cm" svg:x2="2.798cm" svg:y2="7.996cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.798cm" svg:y1="7.996cm" svg:x2="4.44cm" svg:y2="7.996cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="4.44cm" svg:y1="7.996cm" svg:x2="6.119cm" svg:y2="7.996cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr19" draw:text-style-name="P1" draw:layer="layout" svg:x1="6.119cm" svg:y1="7.996cm" svg:x2="10.444cm" svg:y2="7.996cm">
     <text:p/>
    </draw:line>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.692cm" svg:height="0.369cm" svg:x="2.364cm" svg:y="1.933cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">sapidus</text:span><text:span text:style-name="T14"> in different fisheries worldwide.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.43cm" svg:height="0.314cm" svg:x="1.361cm" svg:y="2.731cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Sex</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="2.277cm" svg:y="2.731cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Z</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="3.486cm" svg:y="2.562cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">M</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.42cm" svg:height="0.314cm" svg:x="2.953cm" svg:y="2.901cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Min – Max </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="5.199cm" svg:y="2.562cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">F</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.42cm" svg:height="0.314cm" svg:x="4.614cm" svg:y="2.901cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Min – Max </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.84cm" svg:height="0.314cm" svg:x="7.87cm" svg:y="2.731cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Source</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.478cm" svg:y="3.466cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.124cm" svg:y="3.379cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">7.74</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.369cm" svg:height="0.314cm" svg:x="2.94cm" svg:y="3.379cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.87 – 2.05 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.297cm" svg:height="0.314cm" svg:x="4.582cm" svg:y="3.379cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">5.79 – 6.87</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.764cm" svg:height="0.314cm" svg:x="7.907cm" svg:y="4.061cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Actual</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.447cm" svg:y="4.113cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">M</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.125cm" svg:y="4.032cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">6.85</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.297cm" svg:height="0.314cm" svg:x="2.94cm" svg:y="4.032cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.80 – 1.97</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.297cm" svg:height="0.314cm" svg:x="4.582cm" svg:y="4.032cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">4.99 – 6.05</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.494cm" svg:y="4.707cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">F</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.125cm" svg:y="4.671cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">9.37</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.297cm" svg:height="0.314cm" svg:x="2.94cm" svg:y="4.671cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.82 – 1.95</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.297cm" svg:height="0.314cm" svg:x="4.582cm" svg:y="4.671cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">7.50 – 8.55</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.479cm" svg:y="5.221cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.125cm" svg:y="5.287cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">7.53</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="3.373cm" svg:y="5.287cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1.83</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="5.034cm" svg:y="5.287cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">5.66</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.466cm" svg:height="0.314cm" svg:x="7.074cm" svg:y="5.287cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Andrade </text:span><text:span text:style-name="T24">et al.</text:span><text:span text:style-name="T22"> (2011)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.479cm" svg:y="5.831cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.362cm" svg:height="0.314cm" svg:x="3.443cm" svg:y="5.831cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.547cm" svg:height="0.314cm" svg:x="7.037cm" svg:y="6.309cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Villasmil </text:span><text:span text:style-name="T24">et al. </text:span><text:span text:style-name="T22">(1997)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.448cm" svg:y="6.309cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">M</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.362cm" svg:height="0.314cm" svg:x="2.196cm" svg:y="6.309cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">9.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.362cm" svg:height="0.314cm" svg:x="5.104cm" svg:y="6.309cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">7.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.495cm" svg:y="6.787cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">F</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.362cm" svg:height="0.314cm" svg:x="2.196cm" svg:y="6.787cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">9.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.362cm" svg:height="0.314cm" svg:x="5.104cm" svg:y="6.787cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">6.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.479cm" svg:y="7.434cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.125cm" svg:y="7.434cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.85</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="3.373cm" svg:y="7.434cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.66</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="5.034cm" svg:y="7.434cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">0.19</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="3.901cm" svg:height="0.314cm" svg:x="6.352cm" svg:y="7.265cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Rosas-Correa and De Jesús-Nava-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.357cm" svg:height="0.314cm" svg:x="7.613cm" svg:y="7.604cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">rrete (2008)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.479cm" svg:y="8.081cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">B</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.125cm" svg:y="8.081cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">6.35</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="3.373cm" svg:y="8.081cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.57</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="5.034cm" svg:y="8.081cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">3.78</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.623cm" svg:height="0.314cm" svg:x="6.994cm" svg:y="8.683cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Mehanna </text:span><text:span text:style-name="T24">et al. <text:s/></text:span><text:span text:style-name="T22">(2019)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.448cm" svg:y="8.56cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">M</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.125cm" svg:y="8.56cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">5.19</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="3.373cm" svg:y="8.56cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.31</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="5.034cm" svg:y="8.56cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.88</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="1.495cm" svg:y="9.161cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">F</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="2.125cm" svg:y="9.161cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">6.21</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="3.373cm" svg:y="9.161cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2.51</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="5.034cm" svg:y="9.161cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">3.70</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr13" draw:text-style-name="P13" draw:layer="layout" svg:width="4.146cm" svg:height="0.276cm" svg:x="1.2cm" svg:y="9.721cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T25">B = Both sexes, M = Males, F = Females.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.841cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="10.503cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Natural mortality is an extremely critical parameter in population </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.366cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="10.962cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dynamics studies and difficult to obtain by direct methods; therefore, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.455cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="11.42cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">any <text:s/>applicable <text:s/>method <text:s/>represents <text:s/>a <text:s/>valid <text:s/>criterion <text:s/>for <text:s/>comparing </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.65cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="11.879cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estimates <text:s/>of <text:s/>natural <text:s/>mortality <text:s/>(Sparre <text:s/>and <text:s/>Venema, <text:s/>1995). <text:s/>The <text:s/>M </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.54cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.337cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">values <text:s/>obtained <text:s/>in <text:s/>this <text:s/>study, <text:s/>although <text:s/>slightly <text:s/>higher <text:s/>than <text:s/>those </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.204cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">reported </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.509cm" svg:height="0.369cm" svg:x="2.532cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">previously </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.352cm" svg:height="0.369cm" svg:x="4.163cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(Andrade </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="5.645cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">et </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.518cm" svg:height="0.369cm" svg:x="6.103cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">al</text:span><text:span text:style-name="T3">., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.959cm" svg:height="0.369cm" svg:x="6.747cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">2011), </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.014cm" svg:height="0.369cm" svg:x="7.817cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">remain </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.946cm" svg:height="0.369cm" svg:x="8.963cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">within </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="10.036cm" svg:y="12.796cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.316cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="13.254cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estimated range (Table 3). However, fast-growing species such as </text:span><text:span text:style-name="T10">C. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.926cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="13.712cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">sapidus</text:span><text:span text:style-name="T3"> have high M rates in the early stages of life (Vogt, 2019), </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.26cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="14.171cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">which can compromise the renewal of the fish stock by reducing the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.054cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="14.629cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">reproductive biomass. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.972cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="15.088cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">There <text:s/>is <text:s/>a <text:s/>close <text:s/>relationship <text:s/>between <text:s/>M <text:s/>and <text:s/>the <text:s/>age <text:s/>of <text:s/>first </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.379cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="15.546cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sexual <text:s/>maturity <text:s/>(Rikhter <text:s/>and <text:s/>Efanov, <text:s/>1976). <text:s/>In </text:span><text:span text:style-name="T10"><text:s/>C. <text:s/>sapidus</text:span><text:span text:style-name="T3">, <text:s/>first </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.167cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.005cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sexual maturation occurs between 7 and 8 months of age, reflecting </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.121cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.463cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">compensatory mechanisms associated with early sexual maturity in </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.633cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.922cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">response <text:s/>to <text:s/>high <text:s/>M <text:s/>rates. This <text:s/>characteristic <text:s/>should <text:s/>be <text:s/>considered </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.349cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.38cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.221cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="17.38cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fisheries </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.882cm" svg:height="0.369cm" svg:x="3.057cm" svg:y="17.38cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">management, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.395cm" svg:height="0.369cm" svg:x="5.092cm" svg:y="17.38cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">favouring </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.221cm" svg:height="0.369cm" svg:x="6.634cm" svg:y="17.38cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">resource </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.805cm" svg:height="0.369cm" svg:x="8.009cm" svg:y="17.38cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">conservation </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.574cm" svg:height="0.369cm" svg:x="9.961cm" svg:y="17.38cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.214cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.839cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">encouraging the use of selective fishing gear that allows individuals </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.303cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.297cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">younger than this age to escape.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.157cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="18.756cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Fishing mortality (F) was estimated at 6.33 yr</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="8.115cm" svg:y="18.771cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.144cm" svg:height="0.369cm" svg:x="8.278cm" svg:y="18.758cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span><text:span text:style-name="T3">for both sexes, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.043cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.217cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">8.02 <text:s/>yr</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="2.189cm" svg:y="19.23cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.634cm" svg:height="0.369cm" svg:x="2.352cm" svg:y="19.217cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s text:c="2"/></text:span><text:span text:style-name="T3">for <text:s/>females <text:s/>and <text:s/>5.52 <text:s/>yr</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="5.779cm" svg:y="19.23cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T11">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.823cm" svg:height="0.369cm" svg:x="5.941cm" svg:y="19.217cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s text:c="2"/></text:span><text:span text:style-name="T3">for <text:s/>males. <text:s/>In <text:s/>some <text:s/>cases, <text:s/>these </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.464cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.675cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">values exceed those reported for other stocks of the genus </text:span><text:span text:style-name="T10">Callinectes</text:span><text:span text:style-name="T3"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.684cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and <text:s/>even <text:s/>previous <text:s/>estimates <text:s/>in <text:s/>the <text:s/>region <text:s/>(Table <text:s/>3). This <text:s/>increase </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.637cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.592cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in <text:s/>the <text:s/>exploitation <text:s/>rate <text:s/>suggests <text:s/>a <text:s/>recent <text:s/>intensification <text:s/>of <text:s/>fishing </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.366cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.051cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">pressure <text:s/>compared <text:s/>to <text:s/>previous <text:s/>analyses, <text:s/>a <text:s/>change <text:s/>that <text:s/>could <text:s/>be </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.541cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.509cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">negatively impacting the population structure and fishery yield.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.801cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="21.968cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Recruitment</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.036cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="22.426cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Modal progression analysis identified one cohort for females, with </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.922cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.885cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">an average size of 8.40 ± 0.84 cm SD, and four cohorts for males, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.875cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.343cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">with average sizes of: I = 7.16 ± 0.54 cm SD, II = 8.71 ± 0.77 cm </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.315cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.801cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">SD, III = 10.09 ± 0.68 cm SD, and IV = 11.26 ± 0.49 cm SD (Figure </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.095cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.26cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">4). The difference in the number of cohorts may be associated with </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.286cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.718cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the differential distribution of the population, considering that males </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.226cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.177cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">remain in the lake throughout their life cycle, while females migrate </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.961cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.635cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">to permanent closed areas (Tankersley </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 1998).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.035cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="4.411cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Figure </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.341cm" svg:height="0.369cm" svg:x="12.293cm" svg:y="4.411cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">4. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.022cm" svg:height="0.369cm" svg:x="12.749cm" svg:y="4.411cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Modal </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.78cm" svg:height="0.369cm" svg:x="13.884cm" svg:y="4.411cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">distribution </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="15.783cm" svg:y="4.411cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.615cm" svg:height="0.369cm" svg:x="16.267cm" svg:y="4.411cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">Callinectes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.137cm" svg:height="0.369cm" svg:x="17.998cm" svg:y="4.411cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">sapidus</text:span><text:span text:style-name="T14"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.234cm" svg:height="0.369cm" svg:x="19.245cm" svg:y="4.411cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">cohorts, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.884cm" svg:height="0.369cm" svg:x="12.733cm" svg:y="4.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">derived from Battacharya’s analysis for males (♂) and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.446cm" svg:height="0.369cm" svg:x="12.733cm" svg:y="5.215cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">females (♀) in the Lake of Maracaibo.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.884cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="6.04cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Monitoring of monthly trends showed constant recruitment to the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.561cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="6.464cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fishery throughout the year. However, two main peaks associated with </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.303cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="6.887cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the rainy season were identified; the first occurred between June and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.455cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="7.31cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">July and the second in October and November. This pattern coincides </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.531cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="7.734cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">with <text:s/>that <text:s/>described <text:s/>for <text:s/>most <text:s/>crustaceans <text:s/>in <text:s/>tropical <text:s/>environments </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.12cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.157cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(Oliveira-Filho </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2025) and with previous records for the Lake </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.099cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.58cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of Maracaibo (Andrade de Pasquier, 1999). When comparing these </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.167cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="9.003cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">results with previous studies, it is confirmed that blue crab fisheries </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.011cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="9.427cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">are highly dependent on the continuous influx of juveniles and are </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.67cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="9.85cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">particularly vulnerable to overfishing of females. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.829cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="10.273cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>high <text:s/>temperatures <text:s/>characteristic <text:s/>of <text:s/>tropical <text:s/>water <text:s/>bodies </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.265cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="10.697cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">increase the metabolic rate, maintaining continuous oogenesis (Azra </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.353cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.12cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">et <text:s/>al</text:span><text:span text:style-name="T3">., <text:s/>2020). <text:s/>However, <text:s/>local <text:s/>seasonality <text:s/>influences <text:s/>reproductive </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.362cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.543cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dynamics and metabolic rate, in accordance with reports by Selfati </text:span><text:span text:style-name="T10">et </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.607cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.966cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">al</text:span><text:span text:style-name="T3">. (2025) and Young and Elliott (2020). The high variability observed </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.281cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.39cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in recruitment in the Lake of Maracaibo justifies the implementation </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.242cm" svg:height="0.369cm" svg:x="11.634cm" svg:y="12.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dynamic </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.574cm" svg:height="0.369cm" svg:x="12.997cm" svg:y="12.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.932cm" svg:height="0.369cm" svg:x="13.69cm" svg:y="12.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">precautionary </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.797cm" svg:height="0.369cm" svg:x="15.742cm" svg:y="12.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">management </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.331cm" svg:height="0.369cm" svg:x="17.664cm" svg:y="12.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">measures </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.904cm" svg:height="0.369cm" svg:x="19.12cm" svg:y="12.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">aimed </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="20.148cm" svg:y="12.813cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">at </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.447cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="13.236cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">protecting <text:s/>recruitment <text:s/>periods, <text:s/>ensuring <text:s/>effective <text:s/>minimum <text:s/>sizes, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.23cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="13.659cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and maintaining reproductive biomass.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="2.195cm" svg:height="0.471cm" svg:x="11.145cm" svg:y="14.407cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Conclusions</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.858cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="15.309cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The population dynamics of C. </text:span><text:span text:style-name="T10">sapidus</text:span><text:span text:style-name="T3"> in the Lake of Maracaibo </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.303cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.732cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">were characterised by a short life cycle and rapid growth, with slight </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.358cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.156cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">differences <text:s/>between <text:s/>sexes. <text:s/>Males <text:s/>showed <text:s/>slightly <text:s/>higher <text:s/>growth </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.493cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">parameters, reaching greater asymptotic lengths and growth rates than </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.243cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.002cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">females. The population entered the fishery at an early age, between </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.256cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.425cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">7 and 8 months, and was fully exploited between 12 and 13 months, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.459cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.849cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">when <text:s/>individuals <text:s/>reached <text:s/>sizes <text:s/>close <text:s/>to <text:s/>8.7-8.8 <text:s/>cm. <text:s/>This <text:s/>pattern </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.476cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="18.272cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">coincided <text:s/>with <text:s/>the <text:s/>onset <text:s/>of <text:s/>reproductive <text:s/>displacement, <text:s/>indicating </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.96cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="18.695cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">that a significant fraction of the stock was captured at stages close </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.108cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.119cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">to sexual maturity, posing a risk to population renewal. Individuals </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.816cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.542cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ceased to be part of the stock at 24 months and with sizes greater </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.51cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.965cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">than 12.0 cm. The growth parameters of C. </text:span><text:span text:style-name="T10">sapidus</text:span><text:span text:style-name="T3"> showed variations </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.281cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="20.388cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">with respect to previous assessments, evidenced by a decrease in the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.959cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="20.812cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">asymptotic length of the population. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.794cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="21.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Total </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.314cm" svg:height="0.369cm" svg:x="12.576cm" svg:y="21.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">mortality </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.331cm" svg:height="0.369cm" svg:x="14.051cm" svg:y="21.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">estimates </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.115cm" svg:height="0.369cm" svg:x="15.545cm" svg:y="21.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">showed </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.688cm" svg:height="0.369cm" svg:x="16.816cm" svg:y="21.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">high </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.031cm" svg:height="0.369cm" svg:x="17.659cm" svg:y="21.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">values, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.632cm" svg:height="0.369cm" svg:x="18.845cm" svg:y="21.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">particularly </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.485cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.658cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in <text:s/>females, <text:s/>which <text:s/>had <text:s/>higher <text:s/>rates <text:s/>than <text:s/>males. <text:s/>Likewise, <text:s/>fishing </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.294cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.081cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">mortality <text:s/>reached <text:s/>high <text:s/>levels <text:s/>in <text:s/>both <text:s/>sexes, <text:s/>exceeding <text:s/>previous </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.145cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.515cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">records for the region and for other stocks of the genus </text:span><text:span text:style-name="T10">Callinectes</text:span><text:span text:style-name="T3">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.318cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.949cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">indicating a recent increase in fishing pressure.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.714cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="23.383cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Recruitment remained continuous throughout the year, with two </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.298cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.817cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">peaks associated with the rainy season, confirming the fishery&apos;s high </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.616cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.251cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dependence on annual recruitment and the constant influx of juveniles. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.231cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.685cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>combination <text:s/>of <text:s/>high <text:s/>mortality <text:s/>rates, <text:s/>early <text:s/>exploitation <text:s/>and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.408cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="25.12cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">continuous recruitment suggests that the stock is highly vulnerable to </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T12">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T13"><text:s text:c="2"/></text:span><text:span text:style-name="T13">Rev. Fac. Agron. (LUZ). 2026, 43(1): e264316 January-March ISSN 2477-9409.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">of <text:s/>the </text:span><text:span text:style-name="T10"><text:s/>C. <text:s/>sapidus</text:span><text:span text:style-name="T3"> <text:s/>stock <text:s/>in <text:s/>the <text:s/>Lake <text:s/>of <text:s/>Maracaibo, <text:s/>and <text:s/>constitute </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">measures aimed at the sustainability of the resource.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Andrade <text:s/>de <text:s/>Pasquier, <text:s/>G., <text:s/>García, <text:s/>L., <text:s/>Buonocore, <text:s/>R., <text:s/>&amp; <text:s/>Méndez, <text:s/>Y. <text:s/>(2012). </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">de </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Callinectes sapidus</text:span><text:span text:style-name="T22"> (Rathbun, 1896) en el Lago de Maracaibo, Venezuela. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">ciencia/article/view/10048 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Andrade <text:s/>de <text:s/>Pasquier, <text:s/>G., <text:s/>Ramírez, <text:s/>S., <text:s/>García <text:s/>Pinto, <text:s/>L., <text:s/>Buonocore, <text:s/>R., <text:s/>&amp; </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Delgado, J. (2010). Impacto del palangre para la captura del cangrejo azul, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T22"> <text:s/>en <text:s/>la <text:s/>composición <text:s/>por <text:s/>tallas <text:s/>de <text:s/>los <text:s/>desembarques </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">en el Lago de Maracaibo, Venezuela. </text:span><text:span text:style-name="T24">Proceedings of the 62nd Gulf and </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Caribbean Fisheries Institute</text:span><text:span text:style-name="T22">. 415 – 419. https://proceedings.gcfi.org/wp-</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Andrade <text:s/>de <text:s/>Pasquier, <text:s/>G., <text:s/>&amp; <text:s/>Stotz, <text:s/>W. <text:s/>(1999). <text:s/>Patrón <text:s/>de <text:s/>reclutamiento <text:s/>del </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Boletín <text:s/>del <text:s/>Centro <text:s/>de <text:s/>Investigaciones <text:s/>Biológicas</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24"><text:s/>33</text:span><text:span text:style-name="T22">(1), <text:s/>1–82. <text:s/>https://</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">produccioncientificaluz.org/index.php/boletin/article/view/189 </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Andrade, G., Ferrer, O., &amp; Buonocore, R. (2011). Biología Pesquera. In C. Casler, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">L. <text:s/>P.García, <text:s/>&amp; <text:s/>C. <text:s/>Sangronis <text:s/>(Eds.), </text:span><text:span text:style-name="T24"><text:s/>El <text:s/>cangrejo <text:s/>azul <text:s/>en <text:s/>el <text:s/>Sistema <text:s/>de </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Maracaibo: </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Ecología, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">y </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Socioeconómicos</text:span><text:span text:style-name="T22"> </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">(pp. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">124–158). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Centro </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Estudios </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">del </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Lago. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">https://www.calameo.com/</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">books/005575289f0acf8f2cdb7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.489cm" svg:height="0.314cm" svg:x="1.235cm" svg:y="10.392cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Azra, M., Aaqillah-Amr, M., Ikhwanuddin, M., Ma, H., Waiho, K., Ostrensky, A., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.579cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="10.692cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">dos <text:s/>Santos Tavares, <text:s/>C., <text:s/>&amp; Abol-Munafi, A. <text:s/>(2020). <text:s/>Effects <text:s/>of <text:s/>climate‐</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.536cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="10.991cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">induced <text:s/>water <text:s/>temperature <text:s/>changes <text:s/>on <text:s/>the <text:s/>life <text:s/>history <text:s/>of <text:s/>brachyuran </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.532cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="11.291cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">crabs. </text:span><text:span text:style-name="T24">Reviews in Aquaculture</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24">12</text:span><text:span text:style-name="T22">(2), 1211–1216. https://doi.org/10.1111/</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.23cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="11.591cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">raq.12380 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.366cm" svg:height="0.314cm" svg:x="1.235cm" svg:y="11.89cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Battacharya, <text:s/>C. <text:s/>G. <text:s/>(1967). <text:s/>A <text:s/>simple <text:s/>method <text:s/>of <text:s/>resolution <text:s/>of <text:s/>a <text:s/>distribution </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.405cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="12.19cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">with <text:s/>gaussian <text:s/>componentes. </text:span><text:span text:style-name="T24"><text:s/>Biometrics</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24"><text:s/>23</text:span><text:span text:style-name="T22">(1), <text:s/>115–135. <text:s text:c="3"/>https://doi.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.559cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="12.49cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">org/10.2307/2528285 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Food and Agriculture Organization of the United Nations (FAO) FAO-ICLARM </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">stock Assessment <text:s/>Tools <text:s/>(FiSAT <text:s/>II) <text:s/>(Versión <text:s/>1.2.2) <text:s/>[Software]. <text:s/>(2005). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.464cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="13.389cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Rome, Italy: Fisheries and Aquaculture Departament. http://www.fao.org/</text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">fishery/topic/16072/en </text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.983cm" svg:height="0.314cm" svg:x="1.235cm" svg:y="13.988cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Gallego-Zerrato, </text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.328cm" svg:height="0.314cm" svg:x="3.287cm" svg:y="13.988cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">J., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.183cm" svg:height="0.314cm" svg:x="3.702cm" svg:y="13.988cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Londoño, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">B. </text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.421cm" svg:height="0.314cm" svg:x="5.378cm" svg:y="13.988cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">N., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.877cm" svg:height="0.314cm" svg:x="5.886cm" svg:y="13.988cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Córdoba-Rojas, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">D. </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">F., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">&amp; </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Giraldo, <text:s/>A. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.193cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="14.288cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">(2025). Evaluation of the swimming crab (</text:span><text:span text:style-name="T24">Callinectes toxotes</text:span><text:span text:style-name="T22"> Ordway, </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">1863) as an alternative resource to traditional fishing in the Colombian </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Pacific. </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Fisheries </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Research</text:span><text:span text:style-name="T22">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="5.81cm" svg:y="14.888cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">283</text:span><text:span text:style-name="T22">, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">107303. </text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.872cm" svg:height="0.314cm" svg:x="7.636cm" svg:y="14.888cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">https://doi.org/10.1016/j.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.415cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="15.187cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">fishres.2025.107303 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Ju, <text:s/>S. <text:s/>J., <text:s/>Secor, <text:s/>D. <text:s/>H., <text:s/>&amp; <text:s/>Harvey, <text:s/>H. <text:s/>R. <text:s/>(2001). <text:s/>Growth <text:s/>rate <text:s/>variability <text:s/>and </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">lipofuscin </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">accumulation </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">rates </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">in </text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.425cm" svg:height="0.314cm" svg:x="6.258cm" svg:y="15.78cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">the </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">blue </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">crab </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">Callinectes </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">sapidus</text:span><text:span text:style-name="T22">. </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">Marine Ecology Progress Series</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24">224</text:span><text:span text:style-name="T22">, 197–205. https://doi.org/10.3354/</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">meps224197 </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Marchessaux, <text:s/>G., <text:s/>Vojsava, <text:s/>G., <text:s/>&amp; <text:s/>Sarà, <text:s/>G. <text:s/>(2023). <text:s/>Impulsores <text:s/>ambientales <text:s/>de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.122cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="16.965cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">la estructura de población basada en el tamaño, la madurez sexual y la </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.523cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="17.262cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">fecundidad: <text:s/>un <text:s/>estudio <text:s/>del <text:s/>cangrejo <text:s/>azul <text:s/>invasor </text:span><text:span text:style-name="T24"><text:s/>Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T22"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.516cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="17.558cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">(Rathbun, 1896) en el mar Mediterráneo. </text:span><text:span text:style-name="T24">PLOS ONE</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24">18</text:span><text:span text:style-name="T22">(8), 1–23. https://</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">doi.org/10.1371/journal.pone.0287570 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.404cm" svg:height="0.314cm" svg:x="1.235cm" svg:y="18.151cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Mehanna, <text:s/>S., <text:s/>Desouky, <text:s/>M., <text:s/>&amp; <text:s/>Farouk, <text:s/>A. <text:s/>(2019). <text:s/>Population <text:s/>dynamics <text:s/>and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.706cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="18.447cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">fisheries <text:s/>characteristics <text:s/>of <text:s/>the <text:s/>blue <text:s/>crab </text:span><text:span text:style-name="T24"><text:s/>Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T22"> <text:s/>(Rathbun, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.342cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="18.743cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">1896) <text:s/>as <text:s/>an <text:s/>invasive <text:s/>species <text:s/>in <text:s/>Bardawil <text:s/>Lagoon, <text:s/>Egypt. </text:span><text:span text:style-name="T24"><text:s/>Egyptian </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.634cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="19.04cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">Journal <text:s/>of <text:s/>Aquatic <text:s/>Biology <text:s/>and <text:s/>Fisheries</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24"><text:s/>23</text:span><text:span text:style-name="T22">(2), <text:s/>599–611. <text:s/>https://doi.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="3.706cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="19.336cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">org/10.21608/ejabf.2019.34459 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.675cm" svg:height="0.314cm" svg:x="1.235cm" svg:y="19.632cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Monteiro, J., Ovelheiro, A., Maia, F., Teodosio, M., &amp; Leitao, F. (2025). Biological </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.626cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="19.929cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">traits <text:s/>and <text:s/>population <text:s/>dynamics <text:s/>for <text:s/>sustainable <text:s/>harvesting <text:s/>of </text:span><text:span text:style-name="T24"><text:s/>Carcinus </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.018cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="20.225cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">maenas</text:span><text:span text:style-name="T22">. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.137cm" svg:height="0.314cm" svg:x="3.309cm" svg:y="20.225cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">Fisheries </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.209cm" svg:height="0.314cm" svg:x="4.548cm" svg:y="20.225cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">Research</text:span><text:span text:style-name="T22">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.578cm" svg:height="0.314cm" svg:x="5.847cm" svg:y="20.225cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">281</text:span><text:span text:style-name="T22">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.01cm" svg:height="0.314cm" svg:x="6.53cm" svg:y="20.225cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">107243. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.872cm" svg:height="0.314cm" svg:x="7.636cm" svg:y="20.225cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">https://doi.org/10.1016/j.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="2.415cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="20.521cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">fishres.2024.107243 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.214cm" svg:height="0.314cm" svg:x="1.235cm" svg:y="20.818cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Oliveira-Filho, R., Antunes, M., Musiello-Fernandes, J., Guéron, R., Pichler, H. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.74cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="21.114cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">A., Vilar, <text:s/>C. <text:s/>C., <text:s/>Mantelatto, <text:s/>F. <text:s/>L., <text:s/>Joyeux, <text:s/>J-C., <text:s/>Chiquieri, <text:s/>J., <text:s/>Hostim-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.71cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="21.41cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Silva, <text:s/>M., <text:s/>&amp; <text:s/>Bauman, <text:s/>D. <text:s/>(2025). <text:s/>Decapod <text:s/>community <text:s/>composition <text:s/>is </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.401cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="21.707cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">seasonally <text:s/>driven <text:s/>by <text:s/>different <text:s/>environmental <text:s/>factors <text:s/>in <text:s/>an <text:s/>estuarine-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.511cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="22.003cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">coastal gradient (Eastern Brazil). </text:span><text:span text:style-name="T24">Regional Studies in Marine Science</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24">85</text:span><text:span text:style-name="T22">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="6.085cm" svg:height="0.314cm" svg:x="2.188cm" svg:y="22.303cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">104135. https://doi.org/10.1016/j.rsma.2025.104135 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.569cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="1.144cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Pauly, <text:s/>D. <text:s/>(1980). <text:s/>On <text:s/>the <text:s/>interrelationships <text:s/>between <text:s/>natural <text:s/>mortality, <text:s/>growth </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.397cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="1.454cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">parameters <text:s/>and <text:s/>mean <text:s/>environmental <text:s/>temperature <text:s/>in <text:s/>175 <text:s/>fish <text:s/>stocks. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.761cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="1.765cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">Journal <text:s/>du <text:s/>Conseil <text:s/>International <text:s/>pour <text:s/>l’Exploration <text:s/>de <text:s/>la <text:s/>Mer</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24"><text:s/>39</text:span><text:span text:style-name="T22">(3), </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="6.166cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="2.075cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">175–192. https://doi.org/10.1093/ICESJMS/39.2.175 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.616cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="2.386cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Perdomo, D., García, D., González-Estopiñán, M., Santos, O., Moratinos, P., Cova, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.57cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="2.696cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">L., &amp; Medina, M. 2010. Evaluación de la pesca artesanal con palangre del </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.553cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="3.007cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">cangrejo azul (</text:span><text:span text:style-name="T24">Callinectes</text:span><text:span text:style-name="T22"> spp.), en el puerto de La Ceiba, estado Trujillo, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.352cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="3.317cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Venezuela. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.221cm" svg:height="0.314cm" svg:x="13.541cm" svg:y="3.317cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Zootecnia </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Tropical, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">28</text:span><text:span text:style-name="T22">(2), </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">221-237. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">https://ve.scielo.org/</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">scielo.php?script=sci_arttext&amp;pid=S0798-72692010000200009</text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.527cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="3.938cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Rikhter, V. A., &amp; Efanov, V. N. (1976). </text:span><text:span text:style-name="T24">On one of the approaches to estimation of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.384cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="4.248cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">natural mortality of fish populations</text:span><text:span text:style-name="T22"> (ICNAF Res. Doc. 79/VI/8). https://</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">www.nafo.int/icnaf/library/docs/1976/res-08.pdf</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Rodríguez, <text:s/>G. <text:s/>(2001). <text:s/>The <text:s/>Maracaibo <text:s/>System, <text:s/>Venezuela. <text:s/>In: <text:s/>Seeliger, <text:s/>U., </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Kjerfve, B. (eds) </text:span><text:span text:style-name="T24">Coastal Marine Ecosystems of Latin America</text:span><text:span text:style-name="T22"> (pp. 47 – </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">60). Ecological Studies, vol 144. Springer, Berlin, Heidelberg. https://doi.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">org/10.1007/978-3-662-04482-7_4</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Rodríguez-Castro, J., Ramírez, J., Velázquez-de-la-Cruz, G., &amp; Correa-Sandoval, </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">A. (2016). Evaluación del crecimiento de </text:span><text:span text:style-name="T24">Callinectes sapidus</text:span><text:span text:style-name="T22"> (Decapoda: </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Portunidae) con métodos basados en talla, Tamaulipas, México. </text:span><text:span text:style-name="T24">Revista </text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.423cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="7.042cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">de <text:s/>Biología <text:s/>Tropical</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24"><text:s/>64</text:span><text:span text:style-name="T22">(2), <text:s/>821–836. <text:s/>https://dx.doi.org/10.15517/rbt.</text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.522cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="7.353cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">v64i2.16958 </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.353cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="7.663cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Rosas-Correa, C., &amp; De Jesús-Navarrete, A. (2008). Parámetros poblacionales de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.642cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="7.974cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">la jaiba azul </text:span><text:span text:style-name="T24">Callinectes sapidus</text:span><text:span text:style-name="T22"> (Rathbun, 1896) en la bahía de Chetumal, </text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.456cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="8.284cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Quintana <text:s/>Roo <text:s/>México. </text:span><text:span text:style-name="T24"><text:s/>Revista <text:s/>de <text:s/>Biología <text:s/>Marina <text:s/>y <text:s/>Oceanografía</text:span><text:span text:style-name="T22">, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">43</text:span><text:span text:style-name="T22">(2), 247–253. https://dx.doi.org/10.4067/S0718-19572008000200003 </text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Selfati, M., Doukilo, I., Erbib, A., El Kamcha, R., Errhif, A., &amp; Bazairi, H. (2025). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.35cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="9.216cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Reproductive <text:s/>biology <text:s/>of <text:s/>the <text:s/>invasive <text:s/>blue <text:s/>crab </text:span><text:span text:style-name="T24"><text:s/>Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T22"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.549cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="9.526cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">(Rathbun, <text:s/>1896) <text:s/>on <text:s/>the African Atlantic <text:s/>Coast. </text:span><text:span text:style-name="T24"><text:s/>Estuaries <text:s/>and <text:s/>Coasts</text:span><text:span text:style-name="T22">, </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="6.733cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="9.836cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">48</text:span><text:span text:style-name="T22">(46), 1–15 https://doi.org/10.1007/s12237-024-01467-z </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.844cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="10.147cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Sparre, <text:s/>P., <text:s/>&amp; <text:s/>Venema, <text:s/>S. <text:s/>C. <text:s/>(1995). </text:span><text:span text:style-name="T24"><text:s/>Introducción <text:s/>a <text:s/>la <text:s/>evaluación <text:s/>de <text:s/>recursos </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.625cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="10.457cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">pesqueros tropicales</text:span><text:span text:style-name="T22">. (FAO Doc. Tec. Pesca. Rev, Parte 1, Manual 306/1). </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="5.975cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="10.768cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">FAO. https://www.fao.org/4/w5449s/w5449s00.htm</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.307cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="11.078cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Sumer, C., Teksam, I., Karatas, H., Beyhan, T., &amp; Aydin, C. (2013). Growth and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.431cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="11.389cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">reproduction <text:s/>biology <text:s/>of <text:s/>the <text:s/>blue <text:s/>crab, </text:span><text:span text:style-name="T24"><text:s/>Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T22"> <text:s/>Rathbun, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.38cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="11.699cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">1896, in the Beymelek Lagoon (Southwestern Coast of Turkey). </text:span><text:span text:style-name="T24">Turkish </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.617cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="12.01cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">Journal <text:s/>of <text:s/>Fisheries <text:s/>and <text:s/>Aquatic <text:s/>Sciences</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24"><text:s/>13</text:span><text:span text:style-name="T22">(4), <text:s/>675–684. <text:s/>http://doi.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="4.041cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="12.32cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">org/10.4194/1303-2712-v13_4_13 </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.726cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="12.63cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Tankersley, <text:s/>R. <text:s/>A., <text:s/>Wieber, <text:s/>M. <text:s/>G., <text:s/>Sigala, <text:s/>M. <text:s/>A., <text:s/>&amp; <text:s/>Kachurak, <text:s/>K. <text:s/>A. <text:s/>(1998). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.234cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="12.941cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Migratory </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Behavior </text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.311cm" svg:height="0.314cm" svg:x="14.673cm" svg:y="12.941cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.264cm" svg:height="0.314cm" svg:x="15.089cm" svg:y="12.941cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Ovigerous </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.616cm" svg:height="0.314cm" svg:x="16.446cm" svg:y="12.941cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Blue </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.739cm" svg:height="0.314cm" svg:x="17.159cm" svg:y="12.941cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Crabs </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">Callinectes </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.03cm" svg:height="0.314cm" svg:x="19.449cm" svg:y="12.941cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">sapidus</text:span><text:span text:style-name="T22">: </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.245cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="13.251cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Evidence for Selective Tidal-Stream Transport. </text:span><text:span text:style-name="T24">The Biological Bulletin </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="5.662cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="13.562cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">195</text:span><text:span text:style-name="T22">(2), 168-173 https://doi.org/10.2307/1542824</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Taylor, C. (1960). Temperature, growth and mortality; The Pacific cockle. </text:span><text:span text:style-name="T24">Journal </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">du Conseil International pour l’Exploration de la Mer</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24">26</text:span><text:span text:style-name="T22">(1), 117–124. </text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">https://doi.org/10.1093/icesjms/26.1.117</text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Türeli, C., Miller, T., Gündoğdu, S., &amp; Yeşilyurt, İ. (2016). Growth and mortality </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.658cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="15.114cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">of <text:s/>blue <text:s/>crab <text:s/>(</text:span><text:span text:style-name="T24">Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T22">) <text:s/>in <text:s/>the <text:s/>North-Eastern <text:s/>Mediterranean </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.557cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="15.424cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Sea. </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.967cm" svg:height="0.314cm" svg:x="12.851cm" svg:y="15.424cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Journal </text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.298cm" svg:height="0.314cm" svg:x="13.97cm" svg:y="15.424cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T24">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.137cm" svg:height="0.314cm" svg:x="14.43cm" svg:y="15.424cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Fisheries </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.132cm" svg:height="0.314cm" svg:x="15.721cm" svg:y="15.424cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Sciences</text:span><text:span text:style-name="T22">, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">10</text:span><text:span text:style-name="T22">(2), </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">55–62. </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.484cm" svg:height="0.314cm" svg:x="18.942cm" svg:y="15.424cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">https://www.</text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">cabidigitallibrary.org/doi/pdf/10.5555/20163196523 </text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Vásquez, H., &amp; Pascal, E. (2024). Contribución al conocimiento de la actividad </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.523cm" svg:height="0.314cm" svg:x="12.132cm" svg:y="16.356cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">pesquera <text:s/>artesanal <text:s/>del <text:s/>Cangrejo <text:s/>azul </text:span><text:span text:style-name="T24"><text:s/>Callinectes <text:s/>sapidus</text:span><text:span text:style-name="T22"> <text:s/>(Brachyura: </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.452cm" svg:height="0.314cm" svg:x="12.132cm" svg:y="16.666cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Portunidae) en dos áreas geográficas del Municipio Cabimas, Venezuela, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Boletín del Centro de Investigaciones Biológicas. 58</text:span><text:span text:style-name="T22">(2), 222-237. https://</text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">doi.org/10.5281/zenodo.14574718</text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Villasmil, L., &amp; Mendoza, J. (2001) La pesquería del cangrejo </text:span><text:span text:style-name="T24">Callinectes sapidus</text:span><text:span text:style-name="T22"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.511cm" svg:height="0.314cm" svg:x="12.132cm" svg:y="17.908cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">(decapoda: brachyura) en el Lago de Maracaibo, Venezuela. </text:span><text:span text:style-name="T24">Interciencia, </text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">26</text:span><text:span text:style-name="T22">(7), 301-306 p. http://www.redalyc.org/articulo.oa?id=33905806</text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Villasmil, <text:s/>L., <text:s/>Mendoza, <text:s/>J., <text:s/>&amp; <text:s/>Ferrer, <text:s/>O. <text:s/>(1997). <text:s/>Crecimiento <text:s/>y <text:s/>mortalidad <text:s/>del </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="8.553cm" svg:height="0.314cm" svg:x="12.132cm" svg:y="18.839cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">cangrejo azul </text:span><text:span text:style-name="T24">Callinectes sapidus</text:span><text:span text:style-name="T22"> Rathbun, 1896, del Lago de Maracaibo. </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.039cm" svg:height="0.314cm" svg:x="12.132cm" svg:y="19.15cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Ciencia</text:span><text:span text:style-name="T22">, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">5</text:span><text:span text:style-name="T22">(1), </text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.722cm" svg:height="0.314cm" svg:x="14.276cm" svg:y="19.15cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">7–15. </text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">https://produccioncientificaluz.org/index.php/</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">ciencia/article/view/18855 </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="9.675cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="19.771cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Vogt, G. (2019). A compilation of longevity data in decapod crustaceans. </text:span><text:span text:style-name="T24">Nauplius</text:span><text:span text:style-name="T22">, </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="6.881cm" svg:height="0.314cm" svg:x="12.132cm" svg:y="20.081cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T24">27</text:span><text:span text:style-name="T22">, e2019011. https://doi.org/10.1590/2358-2936e2019011 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Von </text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.446cm" svg:height="0.314cm" svg:x="11.807cm" svg:y="20.392cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Bertalanffy, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">L. </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="0.908cm" svg:height="0.314cm" svg:x="13.726cm" svg:y="20.392cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">(1934). </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Untersuchungen </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">über </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">die </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Gesetzlichkeiten </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">des </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Waschstums. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">1. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Allegemeine </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Grundlangen </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">der </text:span></text:p>
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    <draw:frame draw:style-name="gr20" draw:text-style-name="P17" draw:layer="layout" svg:width="1.035cm" svg:height="0.314cm" svg:x="18cm" svg:y="20.702cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Theorie. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Archiv </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">für </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T24">Entwicklungsmechanik <text:s/>der <text:s/>Organismen</text:span><text:span text:style-name="T22">, </text:span><text:span text:style-name="T24"><text:s/>131</text:span><text:span text:style-name="T22">(4), <text:s/>613–653. <text:s/>https://doi.</text:span></text:p>
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    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">org/10.1007/BF00650112 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">Young, A., &amp; Elliott, J. (2020). Life history and population dynamics of green </text:span></text:p>
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