Coral reef fish populations can persist without immigration.
Identifieur interne : 002707 ( PubMed/Corpus ); précédent : 002706; suivant : 002708Coral reef fish populations can persist without immigration.
Auteurs : Océane C. Salles ; Jeffrey A. Maynard ; Marc Joannides ; Corentin M. Barbu ; Pablo Saenz-Agudelo ; Glenn R. Almany ; Michael L. Berumen ; Simon R. Thorrold ; Geoffrey P. Jones ; Serge PlanesSource :
- Proceedings. Biological sciences [ 1471-2954 ] ; 2015.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : DNA.
- geographic : Papua New Guinea.
- genetics : Perciformes.
- physiology : Perciformes.
- Animal Migration, Animals, Coral Reefs, Female, Male, Models, Biological, Population Dynamics, Reproduction.
Abstract
Determining the conditions under which populations may persist requires accurate estimates of demographic parameters, including immigration, local reproductive success, and mortality rates. In marine populations, empirical estimates of these parameters are rare, due at least in part to the pelagic dispersal stage common to most marine organisms. Here, we evaluate population persistence and turnover for a population of orange clownfish, Amphiprion percula, at Kimbe Island in Papua New Guinea. All fish in the population were sampled and genotyped on five occasions at 2-year intervals spanning eight years. The genetic data enabled estimates of reproductive success retained in the same population (reproductive success to self-recruitment), reproductive success exported to other subpopulations (reproductive success to local connectivity), and immigration and mortality rates of sub-adults and adults. Approximately 50% of the recruits were assigned to parents from the Kimbe Island population and this was stable through the sampling period. Stability in the proportion of local and immigrant settlers is likely due to: low annual mortality rates and stable egg production rates, and the short larval stages and sensory capacities of reef fish larvae. Biannual mortality rates ranged from 0.09 to 0.55 and varied significantly spatially. We used these data to parametrize a model that estimated the probability of the Kimbe Island population persisting in the absence of immigration. The Kimbe Island population was found to persist without significant immigration. Model results suggest the island population persists because the largest of the subpopulations are maintained due to having low mortality and high self-recruitment rates. Our results enable managers to appropriately target and scale actions to maximize persistence likelihood as disturbance frequencies increase.
DOI: 10.1098/rspb.2015.1311
PubMed: 26582017
Links to Exploration step
pubmed:26582017Le document en format XML
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Maynard</name><affiliation><nlm:affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France SymbioSeas and Marine Applied Research Center, Wilmington, NC 28411, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Joannides, Marc" sort="Joannides, Marc" uniqKey="Joannides M" first="Marc" last="Joannides">Marc Joannides</name><affiliation><nlm:affiliation>Université de Montpellier 2, UMR 5149 I3M, Pl Eugene Bataillon, 34095 Montpellier, France.</nlm:affiliation></affiliation></author><author><name sortKey="Barbu, Corentin M" sort="Barbu, Corentin M" uniqKey="Barbu C" first="Corentin M" last="Barbu">Corentin M. 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Jones</name><affiliation><nlm:affiliation>ARC Centre of Excellence for Coral Reef Studies and School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Planes, Serge" sort="Planes, Serge" uniqKey="Planes S" first="Serge" last="Planes">Serge Planes</name><affiliation><nlm:affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26582017</idno><idno type="pmid">26582017</idno><idno type="doi">10.1098/rspb.2015.1311</idno><idno type="wicri:Area/PubMed/Corpus">002707</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">002707</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Coral reef fish populations can persist without immigration.</title><author><name sortKey="Salles, Oceane C" sort="Salles, Oceane C" uniqKey="Salles O" first="Océane C" last="Salles">Océane C. Salles</name><affiliation><nlm:affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France oceane.salles@gmail.com.</nlm:affiliation></affiliation></author><author><name sortKey="Maynard, Jeffrey A" sort="Maynard, Jeffrey A" uniqKey="Maynard J" first="Jeffrey A" last="Maynard">Jeffrey A. Maynard</name><affiliation><nlm:affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France SymbioSeas and Marine Applied Research Center, Wilmington, NC 28411, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Joannides, Marc" sort="Joannides, Marc" uniqKey="Joannides M" first="Marc" last="Joannides">Marc Joannides</name><affiliation><nlm:affiliation>Université de Montpellier 2, UMR 5149 I3M, Pl Eugene Bataillon, 34095 Montpellier, France.</nlm:affiliation></affiliation></author><author><name sortKey="Barbu, Corentin M" sort="Barbu, Corentin M" uniqKey="Barbu C" first="Corentin M" last="Barbu">Corentin M. Barbu</name><affiliation><nlm:affiliation>Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, 800 Blockley Hall, Philadelphia, PA 19104, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Saenz Agudelo, Pablo" sort="Saenz Agudelo, Pablo" uniqKey="Saenz Agudelo P" first="Pablo" last="Saenz-Agudelo">Pablo Saenz-Agudelo</name><affiliation><nlm:affiliation>Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Chile.</nlm:affiliation></affiliation></author><author><name sortKey="Almany, Glenn R" sort="Almany, Glenn R" uniqKey="Almany G" first="Glenn R" last="Almany">Glenn R. Almany</name><affiliation><nlm:affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France.</nlm:affiliation></affiliation></author><author><name sortKey="Berumen, Michael L" sort="Berumen, Michael L" uniqKey="Berumen M" first="Michael L" last="Berumen">Michael L. Berumen</name><affiliation><nlm:affiliation>Red Sea Research Center, Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.</nlm:affiliation></affiliation></author><author><name sortKey="Thorrold, Simon R" sort="Thorrold, Simon R" uniqKey="Thorrold S" first="Simon R" last="Thorrold">Simon R. Thorrold</name><affiliation><nlm:affiliation>Department of Biology, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Jones, Geoffrey P" sort="Jones, Geoffrey P" uniqKey="Jones G" first="Geoffrey P" last="Jones">Geoffrey P. Jones</name><affiliation><nlm:affiliation>ARC Centre of Excellence for Coral Reef Studies and School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Planes, Serge" sort="Planes, Serge" uniqKey="Planes S" first="Serge" last="Planes">Serge Planes</name><affiliation><nlm:affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Proceedings. Biological sciences</title><idno type="eISSN">1471-2954</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animal Migration</term><term>Animals</term><term>Coral Reefs</term><term>DNA (analysis)</term><term>Female</term><term>Male</term><term>Models, Biological</term><term>Papua New Guinea</term><term>Perciformes (genetics)</term><term>Perciformes (physiology)</term><term>Population Dynamics</term><term>Reproduction</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>DNA</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Papua New Guinea</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Perciformes</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Perciformes</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animal Migration</term><term>Animals</term><term>Coral Reefs</term><term>Female</term><term>Male</term><term>Models, Biological</term><term>Population Dynamics</term><term>Reproduction</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Determining the conditions under which populations may persist requires accurate estimates of demographic parameters, including immigration, local reproductive success, and mortality rates. In marine populations, empirical estimates of these parameters are rare, due at least in part to the pelagic dispersal stage common to most marine organisms. Here, we evaluate population persistence and turnover for a population of orange clownfish, Amphiprion percula, at Kimbe Island in Papua New Guinea. All fish in the population were sampled and genotyped on five occasions at 2-year intervals spanning eight years. The genetic data enabled estimates of reproductive success retained in the same population (reproductive success to self-recruitment), reproductive success exported to other subpopulations (reproductive success to local connectivity), and immigration and mortality rates of sub-adults and adults. Approximately 50% of the recruits were assigned to parents from the Kimbe Island population and this was stable through the sampling period. Stability in the proportion of local and immigrant settlers is likely due to: low annual mortality rates and stable egg production rates, and the short larval stages and sensory capacities of reef fish larvae. Biannual mortality rates ranged from 0.09 to 0.55 and varied significantly spatially. We used these data to parametrize a model that estimated the probability of the Kimbe Island population persisting in the absence of immigration. The Kimbe Island population was found to persist without significant immigration. Model results suggest the island population persists because the largest of the subpopulations are maintained due to having low mortality and high self-recruitment rates. Our results enable managers to appropriately target and scale actions to maximize persistence likelihood as disturbance frequencies increase.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26582017</PMID><DateCreated><Year>2015</Year><Month>11</Month><Day>20</Day></DateCreated><DateCompleted><Year>2016</Year><Month>09</Month><Day>01</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1471-2954</ISSN><JournalIssue CitedMedium="Internet"><Volume>282</Volume><Issue>1819</Issue><PubDate><Year>2015</Year><Month>Nov</Month><Day>22</Day></PubDate></JournalIssue><Title>Proceedings. Biological sciences</Title><ISOAbbreviation>Proc. Biol. Sci.</ISOAbbreviation></Journal><ArticleTitle>Coral reef fish populations can persist without immigration.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.1098/rspb.2015.1311</ELocationID><ELocationID EIdType="pii" ValidYN="Y">20151311</ELocationID><Abstract><AbstractText>Determining the conditions under which populations may persist requires accurate estimates of demographic parameters, including immigration, local reproductive success, and mortality rates. In marine populations, empirical estimates of these parameters are rare, due at least in part to the pelagic dispersal stage common to most marine organisms. Here, we evaluate population persistence and turnover for a population of orange clownfish, Amphiprion percula, at Kimbe Island in Papua New Guinea. All fish in the population were sampled and genotyped on five occasions at 2-year intervals spanning eight years. The genetic data enabled estimates of reproductive success retained in the same population (reproductive success to self-recruitment), reproductive success exported to other subpopulations (reproductive success to local connectivity), and immigration and mortality rates of sub-adults and adults. Approximately 50% of the recruits were assigned to parents from the Kimbe Island population and this was stable through the sampling period. Stability in the proportion of local and immigrant settlers is likely due to: low annual mortality rates and stable egg production rates, and the short larval stages and sensory capacities of reef fish larvae. Biannual mortality rates ranged from 0.09 to 0.55 and varied significantly spatially. We used these data to parametrize a model that estimated the probability of the Kimbe Island population persisting in the absence of immigration. The Kimbe Island population was found to persist without significant immigration. Model results suggest the island population persists because the largest of the subpopulations are maintained due to having low mortality and high self-recruitment rates. Our results enable managers to appropriately target and scale actions to maximize persistence likelihood as disturbance frequencies increase.</AbstractText><CopyrightInformation>© 2015 The Author(s).</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Salles</LastName><ForeName>Océane C</ForeName><Initials>OC</Initials><AffiliationInfo><Affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France oceane.salles@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Maynard</LastName><ForeName>Jeffrey A</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France SymbioSeas and Marine Applied Research Center, Wilmington, NC 28411, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Joannides</LastName><ForeName>Marc</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Université de Montpellier 2, UMR 5149 I3M, Pl Eugene Bataillon, 34095 Montpellier, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Barbu</LastName><ForeName>Corentin M</ForeName><Initials>CM</Initials><AffiliationInfo><Affiliation>Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, 800 Blockley Hall, Philadelphia, PA 19104, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Saenz-Agudelo</LastName><ForeName>Pablo</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Chile.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Almany</LastName><ForeName>Glenn R</ForeName><Initials>GR</Initials><AffiliationInfo><Affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Berumen</LastName><ForeName>Michael L</ForeName><Initials>ML</Initials><AffiliationInfo><Affiliation>Red Sea Research Center, Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Thorrold</LastName><ForeName>Simon R</ForeName><Initials>SR</Initials><AffiliationInfo><Affiliation>Department of Biology, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jones</LastName><ForeName>Geoffrey P</ForeName><Initials>GP</Initials><AffiliationInfo><Affiliation>ARC Centre of Excellence for Coral Reef Studies and School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Planes</LastName><ForeName>Serge</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Laboratoire d'Excellence 'CORAIL', USR 3278 CNRS-EPHE-UPVD CRIOBE, Perpignan, France.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Proc Biol Sci</MedlineTA><NlmUniqueID>101245157</NlmUniqueID><ISSNLinking>0962-8452</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>9007-49-2</RegistryNumber><NameOfSubstance UI="D004247">DNA</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Am J Bot. 2000 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MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D057894" MajorTopicYN="Y">Coral Reefs</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004247" MajorTopicYN="N">DNA</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="N">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010219" MajorTopicYN="N" Type="Geographic">Papua New Guinea</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010473" MajorTopicYN="N">Perciformes</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011157" MajorTopicYN="N">Population Dynamics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012098" MajorTopicYN="N">Reproduction</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC4685800 [Available on 11/22/16]</OtherID><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Amphiprion percula</Keyword><Keyword MajorTopicYN="N">long-term monitoring</Keyword><Keyword MajorTopicYN="N">parentage analysis</Keyword><Keyword MajorTopicYN="N">persistence</Keyword><Keyword MajorTopicYN="N">population demography</Keyword><Keyword MajorTopicYN="N">self-recruitment</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>11</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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