Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification
- Autores
- Satterthwaite, William H.; Ciancio Blanc, Javier Ernesto; Crandall, Eric; Palmer Zwahlen, Melodie L.; Grover, Allen M.; O'Farrell, Michael R.; Anderson, Eric C.; Mohr, Michael S.; Garza, John Carlos
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We apply genetic stock identification (GSI) data and models of the catch and sampling process to describe spatial and temporal patterns in the stock composition and stock-specific catch-per-unit-effort (CPUE) of both tagged and untagged stocks encountered in California recreational ocean Chinook salmon fisheries during the period 1998-2002. Spatial and temporal distributions inferred from GSI sampling of stocks with tagged hatchery components were broadly consistent with those previously inferred from studies of tag recoveries alone, while GSI provided additional insight into untagged stocks of conservation concern. The catch in all times and areas was dominated (typically ≥90%) by the "Central Valley Fall" genetic reporting group, which is comprised primarily of Sacramento River fall run Chinook. Other contributing stocks were more spread out in space and time with the exception of Central Valley winter run Chinook, which were rarely encountered by boats fishing in port areas north of Point Reyes. Localized stock-specific CPUE appeared to increase near a stock's respective natal river while decreasing in other port areas at the time of adult return to freshwater for spawning. We describe methods for quantifying uncertainty in stock proportions, stock-specific catch, and determining the statistical support for proposed management boundaries hypothesized to represent "break points" in the spatial distributions for stocks of concern, and find at most equivocal support for a proposed delineation line at Point Reyes in north-central California.
Fil: Satterthwaite, William H.. National Ocean And Atmospheric Administration; Estados Unidos
Fil: Ciancio Blanc, Javier Ernesto. University of California; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Crandall, Eric. University of California; Estados Unidos
Fil: Palmer Zwahlen, Melodie L.. Marine Region. Ocean Salmon Project. California Department of Fish and Wildlife; Estados Unidos
Fil: Grover, Allen M.. Marine Region. Ocean Salmon Project. California Department of Fish and Wildlife; Estados Unidos
Fil: O'Farrell, Michael R.. National Ocean And Atmospheric Administration; Estados Unidos
Fil: Anderson, Eric C.. National Ocean And Atmospheric Administration; Estados Unidos
Fil: Mohr, Michael S.. National Ocean And Atmospheric Administration; Estados Unidos
Fil: Garza, John Carlos. National Ocean And Atmospheric Administration; Estados Unidos - Materia
-
Chinook Salmon
Genetic Stock Identification
Mixed Stock Fishery
Recreational Fishery
Spatial Distribution - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/78914
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identificationSatterthwaite, William H.Ciancio Blanc, Javier ErnestoCrandall, EricPalmer Zwahlen, Melodie L.Grover, Allen M.O'Farrell, Michael R.Anderson, Eric C.Mohr, Michael S.Garza, John CarlosChinook SalmonGenetic Stock IdentificationMixed Stock FisheryRecreational FisherySpatial Distributionhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1We apply genetic stock identification (GSI) data and models of the catch and sampling process to describe spatial and temporal patterns in the stock composition and stock-specific catch-per-unit-effort (CPUE) of both tagged and untagged stocks encountered in California recreational ocean Chinook salmon fisheries during the period 1998-2002. Spatial and temporal distributions inferred from GSI sampling of stocks with tagged hatchery components were broadly consistent with those previously inferred from studies of tag recoveries alone, while GSI provided additional insight into untagged stocks of conservation concern. The catch in all times and areas was dominated (typically ≥90%) by the "Central Valley Fall" genetic reporting group, which is comprised primarily of Sacramento River fall run Chinook. Other contributing stocks were more spread out in space and time with the exception of Central Valley winter run Chinook, which were rarely encountered by boats fishing in port areas north of Point Reyes. Localized stock-specific CPUE appeared to increase near a stock's respective natal river while decreasing in other port areas at the time of adult return to freshwater for spawning. We describe methods for quantifying uncertainty in stock proportions, stock-specific catch, and determining the statistical support for proposed management boundaries hypothesized to represent "break points" in the spatial distributions for stocks of concern, and find at most equivocal support for a proposed delineation line at Point Reyes in north-central California.Fil: Satterthwaite, William H.. National Ocean And Atmospheric Administration; Estados UnidosFil: Ciancio Blanc, Javier Ernesto. University of California; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Crandall, Eric. University of California; Estados UnidosFil: Palmer Zwahlen, Melodie L.. Marine Region. Ocean Salmon Project. California Department of Fish and Wildlife; Estados UnidosFil: Grover, Allen M.. Marine Region. Ocean Salmon Project. California Department of Fish and Wildlife; Estados UnidosFil: O'Farrell, Michael R.. National Ocean And Atmospheric Administration; Estados UnidosFil: Anderson, Eric C.. National Ocean And Atmospheric Administration; Estados UnidosFil: Mohr, Michael S.. National Ocean And Atmospheric Administration; Estados UnidosFil: Garza, John Carlos. National Ocean And Atmospheric Administration; Estados UnidosElsevier Science2015-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/78914Satterthwaite, William H.; Ciancio Blanc, Javier Ernesto; Crandall, Eric; Palmer Zwahlen, Melodie L.; Grover, Allen M.; et al.; Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification; Elsevier Science; Fisheries Research; 170; 10-2015; 166-1780165-7836CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0165783615001800info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fishres.2015.06.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:47:10Zoai:ri.conicet.gov.ar:11336/78914instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:47:11.029CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification |
title |
Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification |
spellingShingle |
Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification Satterthwaite, William H. Chinook Salmon Genetic Stock Identification Mixed Stock Fishery Recreational Fishery Spatial Distribution |
title_short |
Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification |
title_full |
Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification |
title_fullStr |
Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification |
title_full_unstemmed |
Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification |
title_sort |
Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification |
dc.creator.none.fl_str_mv |
Satterthwaite, William H. Ciancio Blanc, Javier Ernesto Crandall, Eric Palmer Zwahlen, Melodie L. Grover, Allen M. O'Farrell, Michael R. Anderson, Eric C. Mohr, Michael S. Garza, John Carlos |
author |
Satterthwaite, William H. |
author_facet |
Satterthwaite, William H. Ciancio Blanc, Javier Ernesto Crandall, Eric Palmer Zwahlen, Melodie L. Grover, Allen M. O'Farrell, Michael R. Anderson, Eric C. Mohr, Michael S. Garza, John Carlos |
author_role |
author |
author2 |
Ciancio Blanc, Javier Ernesto Crandall, Eric Palmer Zwahlen, Melodie L. Grover, Allen M. O'Farrell, Michael R. Anderson, Eric C. Mohr, Michael S. Garza, John Carlos |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
Chinook Salmon Genetic Stock Identification Mixed Stock Fishery Recreational Fishery Spatial Distribution |
topic |
Chinook Salmon Genetic Stock Identification Mixed Stock Fishery Recreational Fishery Spatial Distribution |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
We apply genetic stock identification (GSI) data and models of the catch and sampling process to describe spatial and temporal patterns in the stock composition and stock-specific catch-per-unit-effort (CPUE) of both tagged and untagged stocks encountered in California recreational ocean Chinook salmon fisheries during the period 1998-2002. Spatial and temporal distributions inferred from GSI sampling of stocks with tagged hatchery components were broadly consistent with those previously inferred from studies of tag recoveries alone, while GSI provided additional insight into untagged stocks of conservation concern. The catch in all times and areas was dominated (typically ≥90%) by the "Central Valley Fall" genetic reporting group, which is comprised primarily of Sacramento River fall run Chinook. Other contributing stocks were more spread out in space and time with the exception of Central Valley winter run Chinook, which were rarely encountered by boats fishing in port areas north of Point Reyes. Localized stock-specific CPUE appeared to increase near a stock's respective natal river while decreasing in other port areas at the time of adult return to freshwater for spawning. We describe methods for quantifying uncertainty in stock proportions, stock-specific catch, and determining the statistical support for proposed management boundaries hypothesized to represent "break points" in the spatial distributions for stocks of concern, and find at most equivocal support for a proposed delineation line at Point Reyes in north-central California. Fil: Satterthwaite, William H.. National Ocean And Atmospheric Administration; Estados Unidos Fil: Ciancio Blanc, Javier Ernesto. University of California; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina Fil: Crandall, Eric. University of California; Estados Unidos Fil: Palmer Zwahlen, Melodie L.. Marine Region. Ocean Salmon Project. California Department of Fish and Wildlife; Estados Unidos Fil: Grover, Allen M.. Marine Region. Ocean Salmon Project. California Department of Fish and Wildlife; Estados Unidos Fil: O'Farrell, Michael R.. National Ocean And Atmospheric Administration; Estados Unidos Fil: Anderson, Eric C.. National Ocean And Atmospheric Administration; Estados Unidos Fil: Mohr, Michael S.. National Ocean And Atmospheric Administration; Estados Unidos Fil: Garza, John Carlos. National Ocean And Atmospheric Administration; Estados Unidos |
description |
We apply genetic stock identification (GSI) data and models of the catch and sampling process to describe spatial and temporal patterns in the stock composition and stock-specific catch-per-unit-effort (CPUE) of both tagged and untagged stocks encountered in California recreational ocean Chinook salmon fisheries during the period 1998-2002. Spatial and temporal distributions inferred from GSI sampling of stocks with tagged hatchery components were broadly consistent with those previously inferred from studies of tag recoveries alone, while GSI provided additional insight into untagged stocks of conservation concern. The catch in all times and areas was dominated (typically ≥90%) by the "Central Valley Fall" genetic reporting group, which is comprised primarily of Sacramento River fall run Chinook. Other contributing stocks were more spread out in space and time with the exception of Central Valley winter run Chinook, which were rarely encountered by boats fishing in port areas north of Point Reyes. Localized stock-specific CPUE appeared to increase near a stock's respective natal river while decreasing in other port areas at the time of adult return to freshwater for spawning. We describe methods for quantifying uncertainty in stock proportions, stock-specific catch, and determining the statistical support for proposed management boundaries hypothesized to represent "break points" in the spatial distributions for stocks of concern, and find at most equivocal support for a proposed delineation line at Point Reyes in north-central California. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/78914 Satterthwaite, William H.; Ciancio Blanc, Javier Ernesto; Crandall, Eric; Palmer Zwahlen, Melodie L.; Grover, Allen M.; et al.; Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification; Elsevier Science; Fisheries Research; 170; 10-2015; 166-178 0165-7836 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/78914 |
identifier_str_mv |
Satterthwaite, William H.; Ciancio Blanc, Javier Ernesto; Crandall, Eric; Palmer Zwahlen, Melodie L.; Grover, Allen M.; et al.; Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification; Elsevier Science; Fisheries Research; 170; 10-2015; 166-178 0165-7836 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0165783615001800 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fishres.2015.06.001 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1846082986876862464 |
score |
13.22299 |