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dc.contributor.authorValls, Audrey-
dc.contributor.authorColl, Marta-
dc.contributor.authorChristensen, Villy-
dc.date.accessioned2015-04-24T09:02:23Z-
dc.date.available2015-04-24T09:02:23Z-
dc.date.issued2015-02-
dc.identifierdoi: 10.1890/14-0306.1-
dc.identifierissn: 0012-9615-
dc.identifier.citationEcological Monographs 85(1): 29-47 (2015)-
dc.identifier.urihttp://hdl.handle.net/10261/114129-
dc.description19 pages, 7 figures, 1 plate, 3 tables, appendices A–C and the supplement are available online: http://dx.doi.org/10.1890/14-0306.1.sm-
dc.description.abstractVarious definitions and indices have been proposed in the literature to identify keystone species. In this study, we intended to make the concept of keystone species operational for marine biodiversity conservation. We used an exclusive definition of keystone species, based on the original concept of keystone predator, and derived a new functional index of keystoneness (KS) from an ecosystem-modeling approach. First, several KS indices were formulated, by combining measures of the mixed-trophic impact (MTI) and biomass of species. Then, a meta-analysis was performed, based on 101 published Ecopath food-web models, selected with a scoring method, and representative of the variety of marine ecosystems worldwide. The indices were applied to the models, and two statistical methods were compared to select the most promising KS index. Rank correlation tests were performed to assess the balance between the contribution of the impact and biomass components to the different KS indices. In addition, a classification tree was implemented, based on ecosystemspecific thresholds applied to the latter species traits, and used to confirm the identified keystone species. The selected index obtained the highest number of models with positive results from both the rank correlation tests and the classification tree. We also demonstrated the limitations of existing KS indices previously applied in the literature. Species were ranked according to their estimates of keystoneness with the selected KS index, so that potential keystone species were quantitatively identified in the 101 modeled food webs. The standardized modeling approach allowed for a comparison of the identified keystone species across models: cartilaginous fishes and toothed whales obtained the highest occurrences. Finally, the selected KS index was applied to the well-known case study of Prince William Sound (Alaska, USA). Potentially significant anthropogenic (fishing) impacts on keystone species were also considered and discussed. The operational methodology presented is directly applicable to marine food webs, and may be adapted to other (freshwater or terrestrial) systems. © 2015 by the Ecological Society of America-
dc.description.sponsorshipA. Valls acknowledges support from the Nereus Program, a scientific cooperation between the Nippon Foundation and the University of British Columbia with six additional partners. M. Coll was supported by a Marie Curie CIG grant to BIOWEB and the Spanish Research Program Ramon y Cajal. V. Christensen acknowledges support from the Natural Sciences and Engineering of ecosystem (Bond 2001, Link 2002). The response to Research Council of Canada-
dc.publisherEcological Society of America-
dc.rightsopenAccess-
dc.subjectClassification Trees-
dc.subjectEcopath model-
dc.subjectFood-web structure-
dc.subjectIndex of keystoneness-
dc.subjectKeystone species-
dc.subjectMarine ecosystems-
dc.subjectMixed-trophic impact-
dc.subjectRank correlation tests-
dc.subjectScoring method-
dc.subject.meshMeta-analysis-
dc.titleKeystone species: toward an operational concept for marine biodiversity conservation-
dc.typeartículo-
dc.identifier.doi10.1890/14-0306.1-
dc.relation.publisherversionhttp://dx.doi.org/10.1890/14-0306.1-
dc.date.updated2015-04-24T09:02:24Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeartículo-
item.cerifentitytypePublications-
item.grantfulltextopen-
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