Genetic identification of blue rockfish (Sebastes mystinus) and deacon rockfish (S. diaconus) to enable life history analyses for stock assessment

Bizzarro, Joseph J.; Gilbert-Horvath, Elizabeth A.; Dick, Edward J.; Berger, Aaron M.; Schmidt, Katherine T.; Pearson, D.E.; Petersen, Christine A.; Kautzi, Lisa A.; Miller, Rebecca R.; Field, John C.; Garza, John Carlos

doi:10.7755/fb.118.1.4

Cited by 5 publications

(6 citation statements)

References 17 publications

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“…Abbreviations are as follows: L ∞ is the asymptotic length, K is the growth coefficient, t 0 is the theoretical age of the fish at a size of 0 cm, n denotes the sample size, A 50 is the age at 50% maturity, and L 50 is the length at 50% maturity. Bizzarro et al (2020) and Schmidt (2014). These discrepancies are likely due to differences in sample availability and model assumptions (McClure 1982;Schmidt 2014;Hannah et al 2015;Bizzarro et al 2020).…”

Section: Metricmentioning

confidence: 99%

“…Bizzarro et al (2020) and Schmidt (2014). These discrepancies are likely due to differences in sample availability and model assumptions (McClure 1982;Schmidt 2014;Hannah et al 2015;Bizzarro et al 2020). For example, Bizzarro et al (2020) incorporated spatially extensive nearshore samples and included those used in the Schmidt ( 2014) study.…”

Section: Metricmentioning

confidence: 99%

“…Previous studies have examined age, growth, and maturity of Blue Rockfish or Deacon Rockfish in Oregon, though none have studied the offshore population component (Table 8;McClure 1982;Hannah et al 2015;Bizzarro et al 2020). McClure's (1982 thesis work in Depoe Bay, Oregon, suggested much lower estimates of L ∞ and K than in this study.…”

Section: Metricmentioning

confidence: 99%

“…These discrepancies are likely due to differences in sample availability and model assumptions (McClure 1982;Schmidt 2014;Hannah et al 2015;Bizzarro et al 2020). For example, Bizzarro et al (2020) incorporated spatially extensive nearshore samples and included those used in the Schmidt ( 2014) study. Overall, the spatial difference in growth between the nearshore and offshore areas in this study were larger than previously reported regional differences.…”

Section: Metricmentioning

confidence: 99%

“…Bizzarro et al 2020). In the nearshore area, our growth function parameter estimates are similar to theHannah et al (2015) andBizzaro et al (2020) studies.…”

mentioning

confidence: 99%

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Cross‐Shelf Variability of Deacon Rockfish Sebastes diaconus Age, Growth, and Maturity in Oregon Waters and Their Effect on Stock Status

et al. 2021

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Understanding the basic biology of exploited fish populations, and how it changes across the waterscape, is essential to sustainable management. Biological features (age, growth, reproductive investment, and fish condition) for the newly described Deacon Rockfish Sebastes diaconus were evaluated between two different population segments, an exploited nearshore population and an unexploited offshore population, and were used to parameterize population dynamics models to evaluate how area-specific biological features influence measures of stock status. Monthly hookand-line sampling was conducted for 1 year, with~50 fish collected per area per sampling period. Despite the relatively small (<50 km) distance between the two sampling areas, there were discernible differences in the biology of Deacon Rockfish. When fish of the same size-class were compared between offshore and nearshore segments, the unexploited offshore fish were older, suggesting that fishing may have decreased the overall age structure of the exploited nearshore population segment. Parameters of the von Bertalanffy growth model differed the most between the sexes and secondarily between the nearshore and offshore population segments. Length at 50% maturity was 28 cm and age at 50% maturity was 4.1 years for females, which is smaller and younger than previously reported in the literature. Deacon Rockfish were captured in both the nearshore and offshore areas throughout the year, which suggests that at least some component(s) of the population is present in both areas throughout the year. These differences had a nontrivial influence on measures of stock status and will be important to consider during future stock assessments and as management considers the effect of the recent reopening of the offshore population segment to fishing.

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Section: Metricmentioning

confidence: 99%

Section: Metricmentioning

confidence: 99%

Section: Metricmentioning

confidence: 99%

Section: Metricmentioning

confidence: 99%

“…Bizzarro et al 2020). In the nearshore area, our growth function parameter estimates are similar to theHannah et al (2015) andBizzaro et al (2020) studies.…”

mentioning

confidence: 99%

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Cross‐Shelf Variability of Deacon Rockfish Sebastes diaconus Age, Growth, and Maturity in Oregon Waters and Their Effect on Stock Status

et al. 2021

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Model-based estimation of average fish weights from recreational fisheries

2021

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A multi-predator trophic database for the California Current Large Marine Ecosystem

Bizzarro,

Dewitt,

Wells

et al. 2023

Sci Data

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The California Current Trophic Database (CCTD) was developed at NOAA Southwest Fisheries Science Center in collaboration with numerous diet data contributors. We compiled the CCTD from twenty-four data sets, representing both systematic collections and directed trophic studies. Diet composition data, including stomach and scat samples, were obtained from 105,694 individual predators among 143 taxa collected throughout the California Current Large Marine Ecosystem (CCLME) from 1967–2019. Predator taxa consist of squids (n = 5), elasmobranchs (n = 13), bony fishes (n = 118), and marine mammals (n = 7). Extensive time series are available for some predators (e.g., California Sea Lion, Pacific Hake, Chinook Salmon). The CCTD represents the largest compilation of raw trophic data within the CCLME, allowing for more refined analyses and modeling studies within this region. Our intention is to further augment and periodically update the dataset as additional historical or contemporary data become available to increase its utility and impact.

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Genetic identification of blue rockfish (Sebastes mystinus) and deacon rockfish (S. diaconus) to enable life history analyses for stock assessment

Abstract: To better inform stock  established in 1881 

Cited by 5 publications

References 17 publications

Cross‐Shelf Variability of Deacon Rockfish Sebastes diaconus Age, Growth, and Maturity in Oregon Waters and Their Effect on Stock Status

Cross‐Shelf Variability of Deacon Rockfish Sebastes diaconus Age, Growth, and Maturity in Oregon Waters and Their Effect on Stock Status

Model-based estimation of average fish weights from recreational fisheries

A multi-predator trophic database for the California Current Large Marine Ecosystem

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