Publicação
Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i>
| Resumo: | Research surveys are important to evaluate fishery resources’ spatial distribution and abundance. Although the underlying sampling is usually conceived with a focus on specific species, efficient designs can also collect data on secondary species. We present a framework to explore and evaluate the adequacy of alternative sampling designs for fishery research surveys aiming to maximize accuracy estimates of the secondary species abundance while maintaining the quality of the abundance estimates of primary species. A geostatistical model-based approach was developed considering the semi-continuous nature of the data and the excess of zero values commonly observed for secondary species. New sampling designs were defined according to optimization weights and evaluated based on the resulting prediction exactness. The framework was applied to the bottom trawl survey conducted along the Portuguese continental coast with European hake, Merluccius merluccius, as the primary species and thornback ray, Raja clavata, as the secondary species. The sampling design URSI provided the best balance between the accuracy for both primary and secondary species. The methodology can be replicated for other bottom trawl research surveys and an extended set of species. We recommend that a decision on which sampling design to adopt in future surveys should consider a cost-efficiency analysis. |
|---|---|
| Autores principais: | Silva, Daniela |
| Outros Autores: | Menezes, Raquel; Serra-Pereira, B; Azevedo, M; Figueiredo, I |
| Assunto: | Raja clavata research surveys spatial sampling design species distribution models two-part models Ciências Naturais::Matemáticas Ciências Naturais::Ciências Biológicas |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1867439601364238336 |
|---|---|
| author | Silva, Daniela |
| author2 | Menezes, Raquel Serra-Pereira, B Azevedo, M Figueiredo, I |
| author2_role | author author author author |
| author_facet | Silva, Daniela Menezes, Raquel Serra-Pereira, B Azevedo, M Figueiredo, I |
| author_role | author |
| contributor_name_str_mv | RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Silva, Daniela\"},{\"Person.name\":\"Menezes, Raquel\"},{\"Person.name\":\"Serra-Pereira, B\"},{\"Person.name\":\"Azevedo, M\"},{\"Person.name\":\"Figueiredo, I\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Silva, Daniela Menezes, Raquel Serra-Pereira, B Azevedo, M Figueiredo, I |
| datacite.date.Accepted.fl_str_mv | 2023-06-05T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Raja clavata research surveys spatial sampling design species distribution models two-part models Ciências Naturais::Matemáticas Ciências Naturais::Ciências Biológicas |
| datacite.titles.title.fl_str_mv | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> |
| dc.contributor.none.fl_str_mv | RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Silva, Daniela Menezes, Raquel Serra-Pereira, B Azevedo, M Figueiredo, I |
| dc.date.Accepted.fl_str_mv | 2023-06-05T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/97577 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Oxford University Press |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.rights.rights.copyright.fl_str_mv | openAccess |
| dc.subject.none.fl_str_mv | Raja clavata research surveys spatial sampling design species distribution models two-part models Ciências Naturais::Matemáticas Ciências Naturais::Ciências Biológicas |
| dc.title.fl_str_mv | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Research surveys are important to evaluate fishery resources’ spatial distribution and abundance. Although the underlying sampling is usually conceived with a focus on specific species, efficient designs can also collect data on secondary species. We present a framework to explore and evaluate the adequacy of alternative sampling designs for fishery research surveys aiming to maximize accuracy estimates of the secondary species abundance while maintaining the quality of the abundance estimates of primary species. A geostatistical model-based approach was developed considering the semi-continuous nature of the data and the excess of zero values commonly observed for secondary species. New sampling designs were defined according to optimization weights and evaluated based on the resulting prediction exactness. The framework was applied to the bottom trawl survey conducted along the Portuguese continental coast with European hake, Merluccius merluccius, as the primary species and thornback ray, Raja clavata, as the secondary species. The sampling design URSI provided the best balance between the accuracy for both primary and secondary species. The methodology can be replicated for other bottom trawl research surveys and an extended set of species. We recommend that a decision on which sampling design to adopt in future surveys should consider a cost-efficiency analysis. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/fe0d3c0c-0b8d-4380-beb7-57644cb0bad3/download |
| funding.funder.alternateName_str_mv | FCT FCT FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia, I.P. Fundação para a Ciência e a Tecnologia, I.P. Fundação para a Ciência e a Tecnologia, I.P. Fundação para a Ciência e a Tecnologia, I.P. |
| funding.identifier_str_mv | PD/BD/150535/2019 UIDB/00013/2020 UIDP/00013/2020 PTDC/MAT-STA/28243/2017 |
| funding.name_str_mv | Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Programático Concurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017 |
| funding_str_mv | PD/BD/150535/2019 https://hdl.handle.net/1822/97572 UIDB/00013/2020 https://hdl.handle.net/1822/97170 UIDP/00013/2020 https://hdl.handle.net/1822/97173 PTDC/MAT-STA/28243/2017 https://hdl.handle.net/1822/97574 |
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| identifier.url.fl_str_mv | https://hdl.handle.net/1822/97577 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/97577 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Silva, Daniela Menezes, Raquel Serra-Pereira, B Azevedo, M Figueiredo, I |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Oxford University Press |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engOxford University PressResearch surveys are important to evaluate fishery resources’ spatial distribution and abundance. Although the underlying sampling is usually conceived with a focus on specific species, efficient designs can also collect data on secondary species. We present a framework to explore and evaluate the adequacy of alternative sampling designs for fishery research surveys aiming to maximize accuracy estimates of the secondary species abundance while maintaining the quality of the abundance estimates of primary species. A geostatistical model-based approach was developed considering the semi-continuous nature of the data and the excess of zero values commonly observed for secondary species. New sampling designs were defined according to optimization weights and evaluated based on the resulting prediction exactness. The framework was applied to the bottom trawl survey conducted along the Portuguese continental coast with European hake, Merluccius merluccius, as the primary species and thornback ray, Raja clavata, as the secondary species. The sampling design URSI provided the best balance between the accuracy for both primary and secondary species. The methodology can be replicated for other bottom trawl research surveys and an extended set of species. We recommend that a decision on which sampling design to adopt in future surveys should consider a cost-efficiency analysis.application/pdfengAdapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i>Silva, DanielaMenezes, RaquelSerra-Pereira, BAzevedo, MFigueiredo, IHostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptCITATIONSilva, D., Menezes, R., Serra-Pereira, B., Azevedo, M., & Figueiredo, I. (2023). Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of Raja clavata. ICES Journal of Marine Science, 80(10), 2567–2578. https://doi.org/10.1093/icesjms/fsad089ISSNIsPartOf1054-3139EISSNIsPartOf1095-9289DOIIsPartOf10.1093/icesjms/fsad089URLHasVersionhttps://academic.oup.com/icesjms/article/80/10/2567/71902992023-06-052023-06-05T00:00:00ZHandlehttps://hdl.handle.net/1822/97577http://purl.org/coar/access_right/c_abf2open accessRaja clavataresearch surveysspatial sampling designspecies distribution modelstwo-part modelshttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Ciências Naturais::Matemáticashttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Ciências Naturais::Ciências Biológicas2178860 bytesFundação para a Ciência e a Tecnologia, I.P.Spatial and temporal modelling in sheries and environmental sciences (PD/BD/150535/2019)https://hdl.handle.net/1822/97572PD/BD/150535/2019Crossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a Tecnologia, I.P.Center of Mathematics of the University of Minho (UIDB/00013/2020)Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Basehttps://hdl.handle.net/1822/97170UIDB/00013/2020Crossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a Tecnologia, I.P.Center of Mathematics of the University of Minho (UIDP/00013/2020)Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Programáticohttps://hdl.handle.net/1822/97173UIDP/00013/2020Crossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a Tecnologia, I.P.Improving spatial estimation and survey design through preferential sampling in fishery and biological applications (PTDC/MAT-STA/28243/2017)Concurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017https://hdl.handle.net/1822/97574PTDC/MAT-STA/28243/2017Crossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal article2023-06-05http://creativecommons.org/licenses/by/4.0/openAccesshttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorium.uminho.pt/bitstreams/fe0d3c0c-0b8d-4380-beb7-57644cb0bad3/download8010 |
| spellingShingle | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> Silva, Daniela Raja clavata research surveys spatial sampling design species distribution models two-part models Ciências Naturais::Matemáticas Ciências Naturais::Ciências Biológicas |
| status | SINGLETON |
| subject.fl_str_mv | Raja clavata research surveys spatial sampling design species distribution models two-part models |
| subject.other.fl_str_mv | Ciências Naturais::Matemáticas Ciências Naturais::Ciências Biológicas |
| title | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> |
| title_full | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> |
| title_fullStr | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> |
| title_full_unstemmed | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> |
| title_short | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> |
| title_sort | Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of <i>Raja clavata</i> |
| topic | Raja clavata research surveys spatial sampling design species distribution models two-part models Ciências Naturais::Matemáticas Ciências Naturais::Ciências Biológicas |
| topic_facet | Raja clavata research surveys spatial sampling design species distribution models two-part models Ciências Naturais::Matemáticas Ciências Naturais::Ciências Biológicas |
| url | https://hdl.handle.net/1822/97577 |
| visible | 1 |
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