Age sample sizes and their effects on growth estimation and stock assessment outputs: Three case studies from U.S. West Coast fisheries

He, Xi; Field, John C.; Pearson, Donald E.; Lefebvre, Lyndsey S.

doi:10.1016/j.fishres.2015.08.018

Cited by 11 publications

(7 citation statements)

References 20 publications

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“…Our results are similar to those found in He et al. () for Bocaccio, that decreases in the number of fish sampled from the commercial fishery have little effect on stock assessment performance. This is quite likely for the same reasons as for Cisco, given as they are also a fast‐growing species that shows clear signs of strong cohorts.…”

Section: Discussionsupporting

confidence: 92%

“…() did not have as large a recruitment SD as those of Bocaccio in He et al. () or Cisco in our study (σ r ; sardine = 0.73, Walleye Pollock = 0.70, Boccacio = 1, Cisco full model estimate = 4.5). Results and conclusions may also differ based the spatial scale or the timing of the fishery.…”

Section: Discussioncontrasting

confidence: 54%

“…For example, He et al. () found that rapidly growing species with clear signs of strong cohorts (referring to Bocaccio Sebastes paucispinis ) are likely to see less improvement in assessment results with increased age data than more slow‐growing species or species for which recruitment is less variable. Our results are similar to those found in He et al.…”

Section: Discussionmentioning

confidence: 99%

“…; He et al. ), e.g., by fixing a key parameter. For example, in our study we treat the hydroacoustic survey as an absolute estimate of abundance (a survey with a catchability fixed at 1).…”

Section: Discussionmentioning

confidence: 99%

“…; He et al. ), or the amount of data collected in a given year (Wetzel and Punt ; Ono et al. ; He et al.…”

mentioning

confidence: 99%

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Data Quality, Data Quantity, and Its Effect on an Applied Stock Assessment of Cisco in Thunder Bay, Ontario

Fisch

Bence

2020

N American J Fish Manag

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Stock assessments, or population models developed to support fishery management decisions, require informative data to produce reliable estimates. However, resources available to collect these data are limited. Thus, information relating the effects of different data collection schema on stock assessment performance should be of interest to fishery managers. We used an existing data set on a stock of Cisco Coregonus artedi in Thunder Bay to simulate various degrees of reduction in available data. We considered both cluster subsampling of biological data from the commercial fishery harvest (which determine the observed harvest age composition) and reductions in the frequency of hydroacoustic surveys in order to examine their effect on fits of an age-structured stock assessment model for the stock. Our results indicate that reductions in the frequency of hydroacoustic surveys would have a greater effect on applied stock assessment performance for Thunder Bay Cisco than would reductions in biological sampling to randomly selected temporal clusters of the fishery harvest. Reduction in the frequency of the hydroacoustic survey resulted in different point estimates and larger estimated uncertainty for spawning biomass and natural mortality rate compared with the original assessment model. This was likely largely driven by increases in lag between the final year of the survey and the current year of the assessment. The lower influence of reduced biological sampling may be due to the highly variable nature of Cisco recruitment, where large or "boom" year-classes were still evident in the reduced biological samples, combined with information from survey age compositions. We suggest a priority be placed on performing hydroacoustic surveys with some regularity, such that when they are performed, they are done extensively to minimize uncertainty (measurement error). The data subsampling approach used here could be used in many assessments to determine if a reduction in sampling of various types could be implemented without materially changing assessment results.

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Section: Discussionsupporting

confidence: 92%

Section: Discussioncontrasting

confidence: 54%

Section: Discussionmentioning

confidence: 99%

“…; He et al. ), e.g., by fixing a key parameter. For example, in our study we treat the hydroacoustic survey as an absolute estimate of abundance (a survey with a catchability fixed at 1).…”

Section: Discussionmentioning

confidence: 99%

“…; He et al. ), or the amount of data collected in a given year (Wetzel and Punt ; Ono et al. ; He et al.…”

mentioning

confidence: 99%

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Data Quality, Data Quantity, and Its Effect on an Applied Stock Assessment of Cisco in Thunder Bay, Ontario

Fisch

Bence

2020

N American J Fish Manag

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Age, growth, and reproductive biology of the Atlantic spadefish Chaetodipterus faber in southern Brazil

et al. 2018

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An empirical weight-at-age approach reduces estimation bias compared to modeling parametric growth in integrated, statistical stock assessment models when growth is time varying

et al. 2016

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Age sample sizes and their effects on growth estimation and stock assessment outputs: Three case studies from U.S. West Coast fisheries

Cited by 11 publications

References 20 publications

Data Quality, Data Quantity, and Its Effect on an Applied Stock Assessment of Cisco in Thunder Bay, Ontario

Data Quality, Data Quantity, and Its Effect on an Applied Stock Assessment of Cisco in Thunder Bay, Ontario

Age, growth, and reproductive biology of the Atlantic spadefish Chaetodipterus faber in southern Brazil

An empirical weight-at-age approach reduces estimation bias compared to modeling parametric growth in integrated, statistical stock assessment models when growth is time varying

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