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dc.contributor.authorBidegain Cancer, Gorkaes_ES
dc.contributor.authorGuinda Salsamendi, Xabieres_ES
dc.contributor.authorPuente Trueba, María Araceli es_ES
dc.contributor.authorJuanes de la Peña, José Antonio es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2018-01-31T17:24:28Z
dc.date.available2018-01-31T17:24:28Z
dc.date.issued2017es_ES
dc.identifier.issn1943-6319es_ES
dc.identifier.issn0730-8000es_ES
dc.identifier.urihttp://hdl.handle.net/10902/12973
dc.description.abstractThe gooseneck barnacle Pollicipes pollicipes is a very valuable marine resource on the coasts of Spain and Portugal. To maintain the sustainable exploitation of this species, periodical large-scale population assessments are essential. Because of the heterogeneous distribution of these populations in aggregates, together with the difficulties associated with sampling (i.e., access to rocky reefs, wave exposure, high tides, etc.), there is a lack of studies in this regard. In light of these constraints, the coverage, biomass, and available stock of gooseneck barnacle were first estimated using a novel semiquantitative method along a 215-km long coast at 10 fishing zones and three tidal levels. This study contributed to the first assessment of the distribution variability of gooseneck barnacle in the Cantabria region (N Spain), as the first step toward a long-term monitoring goal. The proposed method is based on a general coverage (GC) estimation, by means of (1) quantitative coverage measurements on quadrats (50 cm350 cm) located along vertical transects covering the intertidal bandwidth and corrected by tidal level bandwidths, (2) semiquantitative coverage estimates in larger areas, including 5 m on either side of the quadrats along the transect. Biomass samples were collected at each sampling point by scraping the 50 cm350 cm quadrat and fresh weight of the samples was measured. This method arrives at the biomass estimates by means of a power regression model for the coverage?biomass relationship. The population distribution pattern along the coast was also explored separately, by commonly used (1) quantitative coverage estimates in quadrats with no bandwidth correction (sample coverage, SC) and (2) semiquantitative estimates, as in the proposed method (transect coverage, TC), both of which included biomass sampling. Biomass and standing stocks values obtained using GC were lower and consumed less sampling time than those obtained by TC, and particularly SC. The results suggest that the proposed method might be suitable for the assessment of P. pollicipes populations in large coastal areas, as it potentially avoids stock overestimation by detecting the spatial distribution heterogeneity and reduces the sampling time.es_ES
dc.description.sponsorshipThe main Directorate of Fisheries of Cantabria (DFC) funded this work. We wish to thank DFC technicians, fishery guards and shell-fishermen for the specific support during the fieldwork, and the colleagues from DFC, who helped us in the laboratory works.es_ES
dc.format.extent11 p.es_ES
dc.language.isoenges_ES
dc.publisherNational Shellfisheries Associationes_ES
dc.rights© National Shellfisheries Associationes_ES
dc.sourceJournal of Shellfish Research, Vol. 36, No. 3, 1-11, 2017.es_ES
dc.titleDistribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methodses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.2983/035.036.0300es_ES
dc.type.versionpublishedVersiones_ES


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