Understanding the effectiveness of marine protected areas using genetic connectivity patterns and Lagrangian simulations
Identifieur interne : 000F56 ( Istex/Corpus ); précédent : 000F55; suivant : 000F57Understanding the effectiveness of marine protected areas using genetic connectivity patterns and Lagrangian simulations
Auteurs : José Martin Pujolar ; Marcello Schiavina ; Antonio Di Franco ; Paco Melià ; Paolo Guidetti ; Marino Gatto ; Giulio A. De Leo ; Lorenzo ZaneSource :
- Diversity and Distributions [ 1366-9516 ] ; 2013-12.
Abstract
To explore the patterns of connectivity between marine protected areas (MPAs) and neighbouring non‐protected areas and the scale at which the benefits of MPAs are expected using the white sea bream as model species.
Url:
DOI: 10.1111/ddi.12114
Links to Exploration step
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<front><div type="abstract">To explore the patterns of connectivity between marine protected areas (MPAs) and neighbouring non‐protected areas and the scale at which the benefits of MPAs are expected using the white sea bream as model species.</div>
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<notesStmt><note>Table S1 Details of microsatellite loci used in the genetic analysis of all D. sargus sargus samples including GenBank accession number and forward and reverse primer.</note>
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<abstract><p>To explore the patterns of connectivity between marine protected areas (MPAs) and neighbouring non‐protected areas and the scale at which the benefits of MPAs are expected using the white sea bream as model species.</p>
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<abstract><p>Marine protected area of Torre Guaceto (TGMPA, Italy) in the south Adriatic Sea.</p>
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<abstract><p>A multidisciplinary approach was used combining (1) a genetic survey using 12 highly informative microsatellite loci of samples collected within the MPA and in several locations up to 100 km from the MPA; and (2) larval trajectories using Lagrangian simulations based on an oceanographical model of the region that includes specific data on early life‐history traits. Both genetic and simulation studies were temporarily replicated during two consecutive years.</p>
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<abstract><p>The overall genetic homogeneity observed indicates that the TGMPA is not isolated and that there is genetic connectivity among locations across a scale of at least ~200 km. A high degree of connectivity between the TGMPA and neighbouring areas is in agreement with Lagrangian simulations, which indicate that white sea bream larvae can be transported over large distances up to about 300 km. Trajectories released from the TGMPA showed that on average, 12.75% of the larvae remains within the TGMPA, while the rest travel south towards non‐protected areas.</p>
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<abstract><p>Our findings highlight the potential benefits of effectively enforced MPAs for neighbouring or relatively distant non‐protected fishing areas and the potential connection with other MPAs at regional scale. Combining genetics and modelling can provide a general framework to investigate the role of connectivity in MPA design that can be easily extended to other species and geographical areas.</p>
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<titleGroup><title sort="DIVERSITY AND DISTRIBUTIONS" type="main">Diversity and Distributions</title>
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<titleGroup><title type="articleCategory">Biodiversity Research</title>
<title type="tocHeading1">Biodiversity Research</title>
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<copyright ownership="publisher">© 2013 John Wiley & Sons Ltd</copyright>
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<correspondenceTo><lineatedText><line>Correspondence: Jose Martin Pujolar, Dipartimento di Biologia, Università di Padova, Via G. Colombo 3, I‐35131 Padova, Italy.</line>
<line>E‐mail: <email>martipujolar@gmail.com</email>
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<contentMeta><titleGroup><title type="main">Understanding the effectiveness of marine protected areas using genetic connectivity patterns and Lagrangian simulations</title>
<title type="shortAuthors">J. M. Pujolar <i>et al</i>
.</title>
</titleGroup>
<creators><creator affiliationRef="#ddi12114-aff-0001 #ddi12114-aff-0002" corresponding="yes" creatorRole="author" xml:id="ddi12114-cr-0001"><personName><givenNames>José Martin</givenNames>
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<creator affiliationRef="#ddi12114-aff-0005 #ddi12114-aff-0006" creatorRole="author" xml:id="ddi12114-cr-0003"><personName><givenNames>Antonio</givenNames>
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<creator affiliationRef="#ddi12114-aff-0005 #ddi12114-aff-0006" creatorRole="author" xml:id="ddi12114-cr-0005"><personName><givenNames>Paolo</givenNames>
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<creator affiliationRef="#ddi12114-aff-0004 #ddi12114-aff-0007" creatorRole="author" xml:id="ddi12114-cr-0007"><personName><givenNames>Giulio A.</givenNames>
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<orgName>Università di Padova</orgName>
<address><postCode>I‐35131</postCode>
<city>Padova</city>
<country>Italy</country>
</address>
</affiliation>
<affiliation countryCode="DK" type="organization" xml:id="ddi12114-aff-0002"><orgDiv>Department of Bioscience</orgDiv>
<orgName>Aarhus University</orgName>
<address><postCode>DK‐8000</postCode>
<city>Aarhus</city>
<country>Denmark</country>
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</affiliation>
<affiliation countryCode="IT" type="organization" xml:id="ddi12114-aff-0003"><orgDiv>Dipartimento di Elettronica e Informazione</orgDiv>
<orgName>Politecnico di Milano</orgName>
<address><postCode>I‐20133</postCode>
<city>Milano</city>
<country>Italy</country>
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<address><postCode>I‐43100</postCode>
<city>Parma</city>
<country>Italy</country>
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<affiliation countryCode="IT" type="organization" xml:id="ddi12114-aff-0005"><orgDiv>Laboratory of Conservation and Management of Marine and Coastal Resources</orgDiv>
<orgName>DiSTeBA</orgName>
<orgName>University of Salento</orgName>
<address><postCode>73100</postCode>
<city>Lecce</city>
<country>Italy</country>
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<affiliation countryCode="FR" type="organization" xml:id="ddi12114-aff-0006"><orgDiv>Université de Nice Sophia‐Antipolis</orgDiv>
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<orgName>EA 4228 ECOMERS</orgName>
<address><postCode>F‐06108</postCode>
<city>Nice cedex 2</city>
<country>France</country>
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<affiliation countryCode="US" type="organization" xml:id="ddi12114-aff-0007"><orgDiv>Hopkins Marine Station</orgDiv>
<orgName>Stanford University</orgName>
<address><postCode>93950</postCode>
<city>Pacific Grove</city>
<countryPart>CA</countryPart>
<country>USA</country>
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<keywordGroup type="author"><keyword xml:id="ddi12114-kwd-0001">Connectivity</keyword>
<keyword xml:id="ddi12114-kwd-0002">larval dispersal</keyword>
<keyword xml:id="ddi12114-kwd-0003">larval retention</keyword>
<keyword xml:id="ddi12114-kwd-0004">marine protected areas</keyword>
<keyword xml:id="ddi12114-kwd-0005">microsatellite</keyword>
<keyword xml:id="ddi12114-kwd-0006">white sea bream</keyword>
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<fundingNumber>2008E7KBAE</fundingNumber>
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<caption><b>Table S1</b>
Details of microsatellite loci used in the genetic analysis of all <i>D. sargus sargus</i>
samples including GenBank accession number and forward and reverse primer.</caption>
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<abstractGroup><abstract type="main" xml:id="ddi12114-abs-0001"><title type="main">Abstract</title>
<section xml:id="ddi12114-sec-0001"><title type="main">Aim</title>
<p>To explore the patterns of connectivity between marine protected areas (<fc>MPA</fc>
s) and neighbouring non‐protected areas and the scale at which the benefits of <fc>MPA</fc>
s are expected using the white sea bream as model species.</p>
</section>
<section xml:id="ddi12114-sec-0002"><title type="main">Location</title>
<p>Marine protected area of Torre Guaceto (<fc>TGMPA</fc>
, Italy) in the south Adriatic Sea.</p>
</section>
<section xml:id="ddi12114-sec-0003"><title type="main">Methods</title>
<p>A multidisciplinary approach was used combining (1) a genetic survey using 12 highly informative microsatellite loci of samples collected within the <fc>MPA</fc>
and in several locations up to 100 km from the <fc>MPA</fc>
; and (2) larval trajectories using Lagrangian simulations based on an oceanographical model of the region that includes specific data on early life‐history traits. Both genetic and simulation studies were temporarily replicated during two consecutive years.</p>
</section>
<section xml:id="ddi12114-sec-0004"><title type="main">Results</title>
<p>The overall genetic homogeneity observed indicates that the <fc>TGMPA</fc>
is not isolated and that there is genetic connectivity among locations across a scale of at least ~200 km. A high degree of connectivity between the <fc>TGMPA</fc>
and neighbouring areas is in agreement with Lagrangian simulations, which indicate that white sea bream larvae can be transported over large distances up to about 300 km. Trajectories released from the <fc>TGMPA</fc>
showed that on average, 12.75% of the larvae remains within the <fc>TGMPA</fc>
, while the rest travel south towards non‐protected areas.</p>
</section>
<section xml:id="ddi12114-sec-0005"><title type="main">Main conclusions</title>
<p>Our findings highlight the potential benefits of effectively enforced <fc>MPA</fc>
s for neighbouring or relatively distant non‐protected fishing areas and the potential connection with other <fc>MPA</fc>
s at regional scale. Combining genetics and modelling can provide a general framework to investigate the role of connectivity in <fc>MPA</fc>
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<name type="personal"><namePart type="given">José Martin</namePart>
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<affiliation>Dipartimento di Biologia, Università di Padova, I‐35131, Padova, Italy</affiliation>
<affiliation>Department of Bioscience, Aarhus University, DK‐8000, Aarhus, Denmark</affiliation>
<affiliation>Correspondence: Jose Martin Pujolar, Dipartimento di Biologia, Università di Padova, Via G. Colombo 3, I‐35131 Padova, Italy.E‐mail:</affiliation>
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<name type="personal"><namePart type="given">Marcello</namePart>
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<affiliation>Dipartimento di Elettronica e Informazione, Politecnico di Milano, I‐20133, Milano, Italy</affiliation>
<affiliation>Dipartimento di Scienze Ambientali, Università degli Studi di Parma, I‐43100, Parma, Italy</affiliation>
<role><roleTerm type="text">author</roleTerm>
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<name type="personal"><namePart type="given">Antonio</namePart>
<namePart type="family">Di Franco</namePart>
<affiliation>Laboratory of Conservation and Management of Marine and Coastal Resources, DiSTeBA, University of Salento, 73100, Lecce, Italy</affiliation>
<affiliation>Université de Nice Sophia‐Antipolis, Faculté des Sciences, EA 4228 ECOMERS, F‐06108, Nice cedex 2, France</affiliation>
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<name type="personal"><namePart type="given">Paolo</namePart>
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<affiliation>Université de Nice Sophia‐Antipolis, Faculté des Sciences, EA 4228 ECOMERS, F‐06108, Nice cedex 2, France</affiliation>
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<name type="personal"><namePart type="given">Giulio A.</namePart>
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<affiliation>Hopkins Marine Station, Stanford University, CA, 93950, Pacific Grove, USA</affiliation>
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<abstract>To explore the patterns of connectivity between marine protected areas (MPAs) and neighbouring non‐protected areas and the scale at which the benefits of MPAs are expected using the white sea bream as model species.</abstract>
<abstract>Marine protected area of Torre Guaceto (TGMPA, Italy) in the south Adriatic Sea.</abstract>
<abstract>A multidisciplinary approach was used combining (1) a genetic survey using 12 highly informative microsatellite loci of samples collected within the MPA and in several locations up to 100 km from the MPA; and (2) larval trajectories using Lagrangian simulations based on an oceanographical model of the region that includes specific data on early life‐history traits. Both genetic and simulation studies were temporarily replicated during two consecutive years.</abstract>
<abstract>The overall genetic homogeneity observed indicates that the TGMPA is not isolated and that there is genetic connectivity among locations across a scale of at least ~200 km. A high degree of connectivity between the TGMPA and neighbouring areas is in agreement with Lagrangian simulations, which indicate that white sea bream larvae can be transported over large distances up to about 300 km. Trajectories released from the TGMPA showed that on average, 12.75% of the larvae remains within the TGMPA, while the rest travel south towards non‐protected areas.</abstract>
<abstract>Our findings highlight the potential benefits of effectively enforced MPAs for neighbouring or relatively distant non‐protected fishing areas and the potential connection with other MPAs at regional scale. Combining genetics and modelling can provide a general framework to investigate the role of connectivity in MPA design that can be easily extended to other species and geographical areas.</abstract>
<note type="additional physical form">Table S1 Details of microsatellite loci used in the genetic analysis of all D. sargus sargus samples including GenBank accession number and forward and reverse primer.</note>
<note type="funding">Ministry of University and Research Program - No. 2008E7KBAE; </note>
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<topic>Connectivity</topic>
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<topic>larval retention</topic>
<topic>marine protected areas</topic>
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<topic>white sea bream</topic>
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