2007
DOI: 10.1139/f07-129
|View full text |Cite
|
Sign up to set email alerts
|

Identifying the contribution of wild and hatchery Chinook salmon (Oncorhynchus tshawytscha) to the ocean fishery using otolith microstructure as natural tags

Abstract: Quantifying the contribution of wild (naturally spawned) and hatchery Chinook salmon (Oncorhynchus tshawytscha) to the mixed-stock ocean fishery is critical to understanding their relative importance to the persistence of salmon stocks. The inability to distinguish hatchery and wild salmon has inhibited the detection of declines or recoveries for many wild populations. By using Chinook salmon of known hatchery and wild origin, we established a baseline for separating these two sources using otolith microstruct… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
89
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 80 publications
(90 citation statements)
references
References 31 publications
1
89
0
Order By: Relevance
“…This is made readily apparent by comparisons of different metrics -the proportion hatchery origin among ocean catch (pHOC) and among natural-area spawners (pHOS) show opposite responses to hatchery cohort size, whereas measures of individual fish fates (the proportion straying (pS) or caught (pC)) and metrics of hatchery performance that are independent of the relative sizes of hatchery and natural populations such as catch per stray spawner (CPS) show no response. It seems important to note here that empirical measures of pHOC (e.g., Barnett-Johnson et al 2007;Kormos et al 2012) and pHOS (e.g., Johnson et al 2012;Kormos et al 2012;Hinrichsen et al 2016) are common in the literature, but we are not aware of estimates of the latter quantities (i.e., pS, pC, CPS). This suggests that consideration of empirical measures of the latter metrics may be helpful in informing hatchery managers on their success in trading off between competing goals, given the overall size of the hatchery program.…”
Section: Hatchery Cohort Sizementioning
confidence: 88%
See 2 more Smart Citations
“…This is made readily apparent by comparisons of different metrics -the proportion hatchery origin among ocean catch (pHOC) and among natural-area spawners (pHOS) show opposite responses to hatchery cohort size, whereas measures of individual fish fates (the proportion straying (pS) or caught (pC)) and metrics of hatchery performance that are independent of the relative sizes of hatchery and natural populations such as catch per stray spawner (CPS) show no response. It seems important to note here that empirical measures of pHOC (e.g., Barnett-Johnson et al 2007;Kormos et al 2012) and pHOS (e.g., Johnson et al 2012;Kormos et al 2012;Hinrichsen et al 2016) are common in the literature, but we are not aware of estimates of the latter quantities (i.e., pS, pC, CPS). This suggests that consideration of empirical measures of the latter metrics may be helpful in informing hatchery managers on their success in trading off between competing goals, given the overall size of the hatchery program.…”
Section: Hatchery Cohort Sizementioning
confidence: 88%
“…Because initial cohort size (N 1 ) and juvenile survival (p 1 ) only appear in our model as a product, we varied their joint outcome N 2 by applying a cohort ratio (f N = N 2,h :N 2,w ) varying from 0.1 to 8 to allow for a range of scenarios between a small hatchery program in conjunction with a small stock to a hatchery-dominated system where over 90% of fish are of hatchery origin (e.g., Barnett-Johnson et al 2007). We assumed that the maturation multiplier b applied equally to all ages, with the exception that no value of b a could exceed 1.0 (since maturation rates cannot exceed 100%) and b 5 was fixed at 1.0 (b x,h = min{b x,w , 1}).…”
Section: Perturbation Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…In stark contrast with Bristol Bay's diverse and productive salmon fishery and other high latitude stocks with limited anthropogenic impact to freshwater habitat is California's Central Valley fall-run Chinook (CVC) salmon (Oncorhynchus tshawytscha) stock complex (Griffiths et al 2014). The Central Valley freshwater habitat is highly regulated and modified, and recent work suggests that the fall-run populations breeding in the different river systems are now genetically indistinguishable (Williamson and May 2005), in contrast with other studied salmon complexes that exhibit geographic structuring (e.g., Habicht et al 2007), and that hatchery-produced fish contribute the majority of total production (Barnett- Johnson et al 2007; Kormos et al 2012;Mohr and Satterthwaite 2013;Palmer-Zwahlen and Kormos 2013). …”
Section: Introductionmentioning
confidence: 99%
“…Fish identification markers, whether artificial or natural, are an essential tool for population-based ecological research, particularly for studies of population connectivity (Swearer et al 1999, Thorrold et al 2006, Almany et al 2007), stock identification (Campana 2005, Barnett-Johnson et al 2007, fish migratory patterns (Kalish 1990, Jones et al 1999, Kennedy et al 2002, Elsdon & Gillanders 2004, Walther & Limburg 2012 and stock discrimination (Adey et al 2009, Glover 2010. However, the reliability of a mark or marker-based data can be uncertain depending on the type of identification used.…”
Section: Introductionmentioning
confidence: 99%