Global mismatch between fishing dependency and larval supply from marine reserves
Identifieur interne : 000284 ( Pmc/Checkpoint ); précédent : 000283; suivant : 000285Global mismatch between fishing dependency and larval supply from marine reserves
Auteurs : Marco Andrello [France] ; François Guilhaumon [France] ; Camille Albouy [Suisse, France] ; Valeriano Parravicini [France] ; Joeri Scholtens [Pays-Bas] ; Philippe Verley [France] ; Manuel Barange [Royaume-Uni, Italie] ; U. Rashid Sumaila [Canada] ; Stéphanie Manel [France] ; David Mouillot [France, Australie]Source :
- Nature Communications [ 2041-1723 ] ; 2017.
Abstract
Marine reserves are viewed as flagship tools to protect exploited species and to contribute to the effective management of coastal fisheries. Yet, the extent to which marine reserves are globally interconnected and able to effectively seed areas, where fisheries are most critical for food and livelihood security is largely unknown. Using a hydrodynamic model of larval dispersal, we predict that most marine reserves are not interconnected by currents and that their potential benefits to fishing areas are presently limited, since countries with high dependency on coastal fisheries receive very little larval supply from marine reserves. This global mismatch could be reversed, however, by placing new marine reserves in areas sufficiently remote to minimize social and economic costs but sufficiently connected through sea currents to seed the most exploited fisheries and endangered ecosystems.
Url:
DOI: 10.1038/ncomms16039
PubMed: 28691710
PubMed Central: 5508853
Affiliations:
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University, CEFE UMR 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, Biogéographie et Ecologie des Vertébrés</institution>, 1919 route de Mende, 34293 Montpellier,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Guilhaumon, Francois" sort="Guilhaumon, Francois" uniqKey="Guilhaumon F" first="François" last="Guilhaumon">François Guilhaumon</name><affiliation wicri:level="1"><nlm:aff id="a2"><institution>UMR 9190 MARBEC, IRD-CNRS-IFREMER-UM, Université de Montpellier</institution>, 34095 Montpellier,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Albouy, Camille" sort="Albouy, Camille" uniqKey="Albouy C" first="Camille" last="Albouy">Camille Albouy</name><affiliation wicri:level="1"><nlm:aff id="a3"><institution>Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich</institution>, 8092 Zürich,<country>Switzerland</country></nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a4"><institution>Swiss Federal Research Institute WSL</institution>, 8903 Birmensdorf,<country>Switzerland</country></nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a5"><institution>IFREMER, Unité Ecologie et Modèles pour l’Halieutique</institution>, 44300 Nantes Cedex 3,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Parravicini, Valeriano" sort="Parravicini, Valeriano" uniqKey="Parravicini V" first="Valeriano" last="Parravicini">Valeriano Parravicini</name><affiliation wicri:level="1"><nlm:aff id="a6"><institution>CRIOBE, USR 3278 CNRS-EPHE-UPVD, Labex ‘Corail’, University of Perpignan</institution>, 66860 Perpignan,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Scholtens, Joeri" sort="Scholtens, Joeri" uniqKey="Scholtens J" first="Joeri" last="Scholtens">Joeri Scholtens</name><affiliation wicri:level="1"><nlm:aff id="a7"><institution>MARE Centre for Maritime Research, Amsterdam Institute for Social Science Research, University of Amsterdam</institution>, Plantage Muidergracht 14, 1018 Amsterdam,<country>The Netherlands</country></nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Verley, Philippe" sort="Verley, Philippe" uniqKey="Verley P" first="Philippe" last="Verley">Philippe Verley</name><affiliation wicri:level="1"><nlm:aff id="a8"><institution>IRD, UMR AMAP, TA A51/PS2</institution>, Montpellier, 05 34398 Cedex,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Barange, Manuel" sort="Barange, Manuel" uniqKey="Barange M" first="Manuel" last="Barange">Manuel Barange</name><affiliation wicri:level="1"><nlm:aff id="a9"><institution>Plymouth Marine Laboratory, Prospect Place</institution>, PL1 3DH Plymouth,<country>UK</country></nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a10"><institution>Food and Agriculture Organization of the UN, Viale delle Terme di Caracalla</institution>, 00153 Rome,<country>Italy</country></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Sumaila, U Rashid" sort="Sumaila, U Rashid" uniqKey="Sumaila U" first="U. Rashid" last="Sumaila">U. Rashid Sumaila</name><affiliation wicri:level="1"><nlm:aff id="a11"><institution>Fisheries Economics Research Unit, Institute for Oceans and Fisheries & Liu Institute for Global Studies, the University of British Columbia</institution>, Vancouver,<country>Canada</country> V6T 1Z</nlm:aff><country xml:lang="fr">Canada</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Manel, Stephanie" sort="Manel, Stephanie" uniqKey="Manel S" first="Stéphanie" last="Manel">Stéphanie Manel</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>EPHE, PSL Research University, CEFE UMR 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, Biogéographie et Ecologie des Vertébrés</institution>, 1919 route de Mende, 34293 Montpellier,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name><affiliation wicri:level="1"><nlm:aff id="a2"><institution>UMR 9190 MARBEC, IRD-CNRS-IFREMER-UM, Université de Montpellier</institution>, 34095 Montpellier,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a12"><institution>Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University</institution>, Townsville, 4811 Queens Land,<country>Australia</country></nlm:aff><country xml:lang="fr">Australie</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author></analytic><series><title level="j">Nature Communications</title><idno type="eISSN">2041-1723</idno><imprint><date when="2017">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Marine reserves are viewed as flagship tools to protect exploited species and to
contribute to the effective management of coastal fisheries. Yet, the extent to which
marine reserves are globally interconnected and able to effectively seed areas, where
fisheries are most critical for food and livelihood security is largely unknown. Using a
hydrodynamic model of larval dispersal, we predict that most marine reserves are not
interconnected by currents and that their potential benefits to fishing areas are
presently limited, since countries with high dependency on coastal fisheries receive
very little larval supply from marine reserves. This global mismatch could be reversed,
however, by placing new marine reserves in areas sufficiently remote to minimize social
and economic costs but sufficiently connected through sea currents to seed the most
exploited fisheries and endangered ecosystems.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Barange, M" uniqKey="Barange M">M. Barange</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Liquete, C" uniqKey="Liquete C">C. Liquete</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Sumaila, U R" uniqKey="Sumaila U">U. R. Sumaila</name></author><author><name sortKey="Cheung, W W L" uniqKey="Cheung W">W. W. L. Cheung</name></author><author><name sortKey="Lam, V W X0a Y" uniqKey="Lam V">V. W.
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<front><journal-meta><journal-id journal-id-type="nlm-ta">Nat Commun</journal-id><journal-id journal-id-type="iso-abbrev">Nat Commun</journal-id><journal-title-group><journal-title>Nature Communications</journal-title></journal-title-group><issn pub-type="epub">2041-1723</issn><publisher><publisher-name>Nature Publishing Group</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">28691710</article-id><article-id pub-id-type="pmc">5508853</article-id><article-id pub-id-type="pii">ncomms16039</article-id><article-id pub-id-type="doi">10.1038/ncomms16039</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Global mismatch between fishing dependency and larval supply from marine reserves</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Andrello</surname><given-names>Marco</given-names></name><xref ref-type="corresp" rid="c1">a</xref><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Guilhaumon</surname><given-names>François</given-names></name><xref ref-type="aff" rid="a2">2</xref></contrib><contrib contrib-type="author"><name><surname>Albouy</surname><given-names>Camille</given-names></name><xref ref-type="aff" rid="a3">3</xref><xref ref-type="aff" rid="a4">4</xref><xref ref-type="aff" rid="a5">5</xref></contrib><contrib contrib-type="author"><name><surname>Parravicini</surname><given-names>Valeriano</given-names></name><xref ref-type="aff" rid="a6">6</xref></contrib><contrib contrib-type="author"><name><surname>Scholtens</surname><given-names>Joeri</given-names></name><xref ref-type="aff" rid="a7">7</xref></contrib><contrib contrib-type="author"><name><surname>Verley</surname><given-names>Philippe</given-names></name><xref ref-type="aff" rid="a8">8</xref></contrib><contrib contrib-type="author"><name><surname>Barange</surname><given-names>Manuel</given-names></name><xref ref-type="aff" rid="a9">9</xref><xref ref-type="aff" rid="a10">10</xref></contrib><contrib contrib-type="author"><name><surname>Sumaila</surname><given-names>U. Rashid</given-names></name><xref ref-type="aff" rid="a11">11</xref></contrib><contrib contrib-type="author"><name><surname>Manel</surname><given-names>Stéphanie</given-names></name><xref ref-type="aff" rid="a1">1</xref></contrib><contrib contrib-type="author"><name><surname>Mouillot</surname><given-names>David</given-names></name><xref ref-type="aff" rid="a2">2</xref><xref ref-type="aff" rid="a12">12</xref></contrib><aff id="a1"><label>1</label><institution>EPHE, PSL Research University, CEFE UMR 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, Biogéographie et Ecologie des Vertébrés</institution>, 1919 route de Mende, 34293 Montpellier,<country>France</country></aff><aff id="a2"><label>2</label><institution>UMR 9190 MARBEC, IRD-CNRS-IFREMER-UM, Université de Montpellier</institution>, 34095 Montpellier,<country>France</country></aff><aff id="a3"><label>3</label><institution>Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich</institution>, 8092 Zürich,<country>Switzerland</country></aff><aff id="a4"><label>4</label><institution>Swiss Federal Research Institute WSL</institution>, 8903 Birmensdorf,<country>Switzerland</country></aff><aff id="a5"><label>5</label><institution>IFREMER, Unité Ecologie et Modèles pour l’Halieutique</institution>, 44300 Nantes Cedex 3,<country>France</country></aff><aff id="a6"><label>6</label><institution>CRIOBE, USR 3278 CNRS-EPHE-UPVD, Labex ‘Corail’, University of Perpignan</institution>, 66860 Perpignan,<country>France</country></aff><aff id="a7"><label>7</label><institution>MARE Centre for Maritime Research, Amsterdam Institute for Social Science Research, University of Amsterdam</institution>, Plantage Muidergracht 14, 1018 Amsterdam,<country>The Netherlands</country></aff><aff id="a8"><label>8</label><institution>IRD, UMR AMAP, TA A51/PS2</institution>, Montpellier, 05 34398 Cedex,<country>France</country></aff><aff id="a9"><label>9</label><institution>Plymouth Marine Laboratory, Prospect Place</institution>, PL1 3DH Plymouth,<country>UK</country></aff><aff id="a10"><label>10</label><institution>Food and Agriculture Organization of the UN, Viale delle Terme di Caracalla</institution>, 00153 Rome,<country>Italy</country></aff><aff id="a11"><label>11</label><institution>Fisheries Economics Research Unit, Institute for Oceans and Fisheries & Liu Institute for Global Studies, the University of British Columbia</institution>, Vancouver,<country>Canada</country> V6T 1Z</aff><aff id="a12"><label>12</label><institution>Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University</institution>, Townsville, 4811 Queens Land,<country>Australia</country></aff></contrib-group><author-notes><corresp id="c1"><label>a</label><email>marco.andrello@cefe.cnrs.fr</email></corresp></author-notes><pub-date pub-type="epub"><day>10</day><month>07</month><year>2017</year></pub-date><pub-date pub-type="collection"><year>2017</year></pub-date><volume>8</volume><elocation-id>16039</elocation-id><history><date date-type="received"><day>03</day><month>10</month><year>2016</year></date><date date-type="accepted"><day>16</day><month>05</month><year>2017</year></date></history><permissions><copyright-statement>Copyright © 2017, The Author(s)</copyright-statement><copyright-year>2017</copyright-year><copyright-holder>The Author(s)</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/"><pmc-comment>author-paid</pmc-comment>
<license-p><bold>Open Access</bold> This article is licensed under a Creative Commons Attribution 4.0
International License, which permits use, sharing, adaptation, distribution and
reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons license, and
indicate if changes were made. The images or other third party material in this article
are included in the article’s Creative Commons license, unless indicated otherwise
in a credit line to the material. If material is not included in the article’s
Creative Commons license and your intended use is not permitted by statutory regulation
or exceeds the permitted use, you will need to obtain permission directly from the
copyright holder. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><abstract><p>Marine reserves are viewed as flagship tools to protect exploited species and to
contribute to the effective management of coastal fisheries. Yet, the extent to which
marine reserves are globally interconnected and able to effectively seed areas, where
fisheries are most critical for food and livelihood security is largely unknown. Using a
hydrodynamic model of larval dispersal, we predict that most marine reserves are not
interconnected by currents and that their potential benefits to fishing areas are
presently limited, since countries with high dependency on coastal fisheries receive
very little larval supply from marine reserves. This global mismatch could be reversed,
however, by placing new marine reserves in areas sufficiently remote to minimize social
and economic costs but sufficiently connected through sea currents to seed the most
exploited fisheries and endangered ecosystems.</p></abstract><abstract abstract-type="web-summary"><p>The effectiveness of marine reserves relies on whether they supply substantial
recruitment outside their boundaries. Here, Andrello and colleagues use models of larval
fish dispersal to show that countries most dependent on coastal fisheries receive the
lowest larval supplies from marine reserves.</p></abstract></article-meta></front><floats-group><fig id="f1"><label>Figure 1</label><caption><title>Global connectivity patterns among marine protected areas and no-take marine
reserves based on larval dispersal patterns.</title><p>(<bold>a</bold>) Regions with the largest networks of marine protected areas (MPAs,
circles) and marine reserves (MRs, triangles) are enlarged for readability.
Networks of connected MPAs and MRs are coloured according to their size.
Unconnected MPAs and MRs are drawn with larger symbols. Histograms represent the
distribution of the number of outgoing (<bold>b</bold>,<bold>d</bold>) and incoming
(<bold>c</bold>,<bold>e</bold>) connections per MPA. In (<bold>b</bold>) and (<bold>c</bold>), all MPAs
are considered as donors while in (<bold>d</bold>) and (<bold>e</bold>) only MRs are
considered as donors.</p></caption><graphic xlink:href="ncomms16039-f1"></graphic></fig><fig id="f2"><label>Figure 2</label><caption><title>Larval supply from marine reserves to national exclusive economic zones.</title><p>(<bold>a</bold>) Global map of larval density (unit-free index bounded between 0 and 100
reflecting the number of larvae received in a fishing area relative to the surface
of the fishing area) in each country’s exclusive economic zone (EEZ), with
darker green representing a higher density and lighter green representing lower or
zero densities. (<bold>b</bold>) EEZs are coloured according to the per cent of coastal
areas in MRs, with darker blue representing a higher percentage and lighter blue
representing a zero percentage. (<bold>c</bold>) Relationship between larval density and
per cent area of MRs in EEZs (<italic>n</italic>=289,
<italic>R</italic><sup>2</sup>=7%); dots are coloured according to the
food security fisheries dependency in the country, with darker pink representing
higher dependency and lighter pink representing lower dependency, as in <xref ref-type="fig" rid="f4">Fig. 4c</xref>; countries without estimates of food security fisheries
dependency are in grey.</p></caption><graphic xlink:href="ncomms16039-f2"></graphic></fig><fig id="f3"><label>Figure 3</label><caption><title>Examples of transnational larval supply from marine reserves to fishing
areas.</title><p>MRs providing larval supply to fishing areas in the Caribbean (<bold>a</bold>) and the
Coral Triangle (<bold>b</bold>) regions. Land areas are coloured in dark grey, coastal
areas in light grey, coastal areas in MRs in red and lines indicate EEZ
boundaries. The red dots are the positions of fish larvae at the end of the larval
dispersal phase (30 days).</p></caption><graphic xlink:href="ncomms16039-f3"></graphic></fig><fig id="f4"><label>Figure 4</label><caption><title>Relationships between national dependency on coastal fisheries and conservation
effort or larval supply from marine reserves.</title><p>The national dependency on coastal fisheries is calculated through unit-free
indices bounded between 0 and 100 that estimate the economic
(<bold>a</bold>,<bold>d</bold>,<bold>g</bold>, <italic>n</italic>=199), employment
(<bold>b</bold>,<bold>e</bold>,<bold>h</bold>, <italic>n</italic>=144) and food security
(<bold>c</bold>,<bold>f</bold>,<bold>i</bold>, <italic>n</italic>=139) dependency. Colours reflect
the fisheries dependency, with darker pink representing higher dependency and
lighter pink representing lower dependency. The violin plots in
(<bold>d</bold>–<bold>f</bold>) compare the extent of protected coastal areas
(measured as the percentage of EEZs in MRs) among countries grouped by the level
of fisheries dependency. The violin plots in (<bold>g</bold>–<bold>i</bold>) compare the
larval density from MRs among countries grouped by the level of fisheries
dependency. The statistics under the plots show the results of a
Kruskal–Wallis test. For both economic and food security dependency, the
significant difference in area protected (<bold>d</bold>,<bold>f</bold>) is due to the
difference between low and medium dependency classes (Conover post hoc test,
<italic>t</italic>=2.6, <italic>P</italic>=0.03 and <italic>t</italic>=2.9,
<italic>P</italic>=0.01, respectively). The significant difference in larval supply
among food security dependency classes (<bold>i</bold>) is due to the differences
between the high dependency class and the medium (<italic>t</italic>=2.4,
<italic>P</italic>=0.02) and low (<italic>t</italic>=3.2, <italic>P</italic><0.01) dependency
classes.</p></caption><graphic xlink:href="ncomms16039-f4"></graphic></fig></floats-group></pmc><affiliations><list><country><li>Australie</li><li>Canada</li><li>France</li><li>Italie</li><li>Pays-Bas</li><li>Royaume-Uni</li><li>Suisse</li></country></list><tree><country name="France"><noRegion><name sortKey="Andrello, Marco" sort="Andrello, Marco" uniqKey="Andrello M" first="Marco" last="Andrello">Marco Andrello</name></noRegion><name sortKey="Albouy, Camille" sort="Albouy, Camille" uniqKey="Albouy C" first="Camille" last="Albouy">Camille Albouy</name><name sortKey="Guilhaumon, Francois" sort="Guilhaumon, Francois" uniqKey="Guilhaumon F" first="François" last="Guilhaumon">François Guilhaumon</name><name sortKey="Manel, Stephanie" sort="Manel, Stephanie" uniqKey="Manel S" first="Stéphanie" last="Manel">Stéphanie Manel</name><name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name><name sortKey="Parravicini, Valeriano" sort="Parravicini, Valeriano" uniqKey="Parravicini V" first="Valeriano" last="Parravicini">Valeriano Parravicini</name><name sortKey="Verley, Philippe" sort="Verley, Philippe" uniqKey="Verley P" first="Philippe" last="Verley">Philippe Verley</name></country><country name="Suisse"><noRegion><name sortKey="Albouy, Camille" sort="Albouy, Camille" uniqKey="Albouy C" first="Camille" last="Albouy">Camille Albouy</name></noRegion><name sortKey="Albouy, Camille" sort="Albouy, Camille" uniqKey="Albouy C" first="Camille" last="Albouy">Camille Albouy</name></country><country name="Pays-Bas"><noRegion><name sortKey="Scholtens, Joeri" sort="Scholtens, Joeri" uniqKey="Scholtens J" first="Joeri" last="Scholtens">Joeri Scholtens</name></noRegion></country><country name="Royaume-Uni"><noRegion><name sortKey="Barange, Manuel" sort="Barange, Manuel" uniqKey="Barange M" first="Manuel" last="Barange">Manuel Barange</name></noRegion></country><country name="Italie"><noRegion><name sortKey="Barange, Manuel" sort="Barange, Manuel" uniqKey="Barange M" first="Manuel" last="Barange">Manuel Barange</name></noRegion></country><country name="Canada"><noRegion><name sortKey="Sumaila, U Rashid" sort="Sumaila, U Rashid" uniqKey="Sumaila U" first="U. Rashid" last="Sumaila">U. Rashid Sumaila</name></noRegion></country><country name="Australie"><noRegion><name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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