Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods

The 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 i...

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Autores: Bidegain Cancer, Gorka, Guinda Salsamendi, Xabier, Puente Trueba, María Araceli|||0000-0001-7627-4743, Juanes de la Peña, José A.|||0000-0003-1825-2858
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/12973
Acceso en línea:http://hdl.handle.net/10902/12973
Access Level:acceso abierto
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spelling Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methodsBidegain Cancer, GorkaGuinda Salsamendi, XabierPuente Trueba, María Araceli|||0000-0001-7627-4743Juanes de la Peña, José A.|||0000-0003-1825-2858The 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.The 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.National Shellfisheries AssociationUniversidad de Cantabria20172017-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/12973Journal of Shellfish Research, Vol. 36, No. 3, 1-11, 2017.reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/129732026-06-02T12:39:31Z
dc.title.none.fl_str_mv Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods
title Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods
spellingShingle Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods
Bidegain Cancer, Gorka
title_short Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods
title_full Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods
title_fullStr Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods
title_full_unstemmed Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods
title_sort Distribution patterns of the gooseneck barnacle (Pollicipes Pollicipes [GMELINn, 1789]) in the Cantabria region (N Spain): exploring different population assessment methods
dc.creator.none.fl_str_mv Bidegain Cancer, Gorka
Guinda Salsamendi, Xabier
Puente Trueba, María Araceli|||0000-0001-7627-4743
Juanes de la Peña, José A.|||0000-0003-1825-2858
author Bidegain Cancer, Gorka
author_facet Bidegain Cancer, Gorka
Guinda Salsamendi, Xabier
Puente Trueba, María Araceli|||0000-0001-7627-4743
Juanes de la Peña, José A.|||0000-0003-1825-2858
author_role author
author2 Guinda Salsamendi, Xabier
Puente Trueba, María Araceli|||0000-0001-7627-4743
Juanes de la Peña, José A.|||0000-0003-1825-2858
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
description The 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10902/12973
url http://hdl.handle.net/10902/12973
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv National Shellfisheries Association
publisher.none.fl_str_mv National Shellfisheries Association
dc.source.none.fl_str_mv Journal of Shellfish Research, Vol. 36, No. 3, 1-11, 2017.
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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