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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/78914

id CONICETDig_8ec952f9f63eea5b12a8af0a1a3e42b5
oai_identifier_str oai:ri.conicet.gov.ar:11336/78914
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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
_version_ 1846082986876862464
score 13.22299