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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:26:32Z</responseDate> <request identifier=oai:HAL:hal-01218810v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01218810v1</identifier> <datestamp>2018-01-12</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdv</setSpec> <setSpec>subject:sde</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:UNICE</setSpec> <setSpec>collection:IFREMER</setSpec> <setSpec>collection:SDE</setSpec> <setSpec>collection:EPHE</setSpec> <setSpec>collection:UPMC</setSpec> <setSpec>collection:IMBE</setSpec> <setSpec>collection:OSU-INSTITUT-PYTHEAS</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:EVOLUTION_PARIS_SEINE</setSpec> <setSpec>collection:INSU</setSpec> <setSpec>collection:ISYEB</setSpec> <setSpec>collection:EBEA</setSpec> <setSpec>collection:ADMM</setSpec> <setSpec>collection:UNIV-AMU</setSpec> <setSpec>collection:UNIV-AVIGNON</setSpec> <setSpec>collection:ADMM-DIVCO</setSpec> <setSpec>collection:PSL</setSpec> <setSpec>collection:UNIV-ROCHELLE</setSpec> <setSpec>collection:UPMC_POLE_3</setSpec> <setSpec>collection:UPMC_POLE_4</setSpec> <setSpec>collection:UCA-TEST</setSpec> <setSpec>collection:IBPS</setSpec> <setSpec>collection:EVOL_PARIS_SEINE-SM</setSpec> <setSpec>collection:UNIV-MONTPELLIER</setSpec> <setSpec>collection:UNIV-COTEDAZUR</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Species are hypotheses: avoid connectivity assessments based on pillars of sand</title> <creator>Pante, Eric</creator> <creator>Puillandre, Nicolas</creator> <creator>Viricel, Amélia</creator> <creator>Arnaud-Haond, Sophie</creator> <creator>Aurelle, Didier</creator> <creator>Castelin, Magalie</creator> <creator>Chenuil, Anne</creator> <creator>Destombe, Christophe</creator> <creator>Forcioli, Didier</creator> <creator>Valero, Myriam</creator> <creator>Viard, Frédérique</creator> <creator>Samadi, Sarah</creator> <contributor>LIttoral ENvironnement et Sociétés - UMR 7266 (LIENSs) ; Université de La Rochelle (ULR) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Biologie Intégrative des Populations ; École pratique des hautes études (EPHE) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>UMR 212 EME "écosystèmes marins exploités" (EME) ; Université de Montpellier (UM) - Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) - Institut de Recherche pour le Développement (IRD)</contributor> <contributor>Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE) ; Université d'Avignon et des Pays de Vaucluse (UAPV) - Aix Marseille Université (AMU) - Institut national des sciences de l'Univers (INSU - CNRS) - INEE - INSB - Institut de recherche pour le développement [IRD] : UMR237 - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Evolutionary Biology and Ecology of Algae (EBEA) ; Université Pierre et Marie Curie - Paris 6 (UPMC) - Pontificia Universidad Católica de Chile - Universidad Austral de Chile - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Evolution Paris Seine ; Université Nice Sophia Antipolis (UNS) ; Université Côte d'Azur (UCA) - Université Côte d'Azur (UCA) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Université Pierre et Marie Curie - Paris 6 (UPMC)</contributor> <contributor>DIVersité et COnnectivité dans le paysage marin côtier (DIVCO) ; Adaptation et diversité en milieu marin (ADMM) ; Université Pierre et Marie Curie - Paris 6 (UPMC) - Centre National de la Recherche Scientifique (CNRS) - Université Pierre et Marie Curie - Paris 6 (UPMC) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Institut Francais de Recherche pour l'Exploitation de la Mer (IFREMER)</contributor> <contributor>French Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Contrat de Projet-Etat-Region</contributor> <contributor>Fond Europeen de Developpement Regional</contributor> <contributor>Actions Internationales et Rayonnement of the University of La Rochelle</contributor> <contributor>ANR</contributor> <contributor>NSC [ANR 12-ISV7-0005-01]</contributor> <contributor>French ANR [ANR-13-JSV7-0013-01]</contributor> <contributor>ANR HySea programme [ANR-12-BSV7-0011]</contributor> <description>International audience</description> <source>ISSN: 0962-1083</source> <source>EISSN: 1365-294X</source> <source>Molecular Ecology</source> <publisher>WILEY-BLACKWELL</publisher> <publisher>Wiley</publisher> <identifier>hal-01218810</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01218810</identifier> <source>https://hal.archives-ouvertes.fr/hal-01218810</source> <source>Molecular Ecology, Wiley, 2015, 24 (3), pp.525-544. 〈10.1111/mec.13048〉</source> <identifier>DOI : 10.1111/mec.13048</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1111/mec.13048</relation> <language>en</language> <subject lang=en>connectivity</subject> <subject lang=en>marine organisms</subject> <subject lang=en>molecular systematics</subject> <subject lang=en>taxonomy</subject> <subject>[SDV] Life Sciences [q-bio]</subject> <subject>[SDE] Environmental Sciences</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>Connectivity among populations determines the dynamics and evolution of populations, and its assessment is essential in ecology in general and in conservation biology in particular. The robust basis of any ecological study is the accurate delimitation of evolutionary units, such as populations, metapopulations and species. Yet a disconnect still persists between the work of taxonomists describing species as working hypotheses and the use of species delimitation by molecular ecologists interested in describing patterns of gene flow. This problem is particularly acute in the marine environment where the inventory of biodiversity is relatively delayed, while for the past two decades, molecular studies have shown a high prevalence of cryptic species. In this study, we illustrate, based on marine case studies, how the failure to recognize boundaries of evolutionary-relevant unit leads to heavily biased estimates of connectivity. We review the conceptual framework within which species delimitation can be formalized as falsifiable hypotheses and show how connectivity studies can feed integrative taxonomic work and vice versa. Finally, we suggest strategies for spatial, temporal and phylogenetic sampling to reduce the probability of inadequately delimiting evolutionary units when engaging in connectivity studies.</description> <date>2015</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>