MétaCan
Menu
Back to cohort
Record W7133281797

Bocaccio (Sebastes paucispinis) stock assessment for British Columbia in 2019, including guidance for rebuilding plans

2022· other· en· W7133281797 on OpenAlexaboutno aff
Paul J. Starr, Rowan Haigh

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsStock (firearms)Stock assessmentPopulationEndangered speciesRockfishWildlife
DOInot available

Abstract

fetched live from OpenAlex

Bocaccio rockfish (Sebastes paucispinis, BOR) is ubiquitous along the British Columbia (BC) coast (at ~60-300 m depth), occurring in low densities along the west coast of Vancouver Island (WCVI), across Goose Island and Mitchell gullies in Queen Charlotte Sound and into the lower parts of Hecate Strait. In 2002, the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) assessed the status of the BC population of Bocaccio rockfish (BOR) as “Threatened”. In November 2013, BOR was reassessed by COSEWIC as “Endangered”. Under COSEWIC and SARA (the Species at Risk Act), an endangered species is defined as one that is facing imminent extirpation or extinction. BOR has been assessed twice by DFO Science (in 2009 and then in 2012) using a Bayesian surplus production model which evaluated this species to be in the DFO Critical Zone. This led to setting mortality caps at the minimum acceptable levels of harm while still allowing the multispecies trawl fishery, which takes BOR in conjunction with other trawl species, to continue operating while still rebuilding. Beginning in 2017, there has been mounting evidence of a strong BOR recruitment event in BC waters, leading to difficulty in 2018 and 2019 for commercial operators to stay within the existing low catch limits that were set to encourage rebuilding in the BC BOR population. The purpose of this stock assessment is to evaluate the current BOR stock status and to assess the potential impact of this new recruitment on the DFO Precautionary Approach (PA) status of BOR in the future. This stock assessment evaluates a single BC coastwide population harvested by multiple fisheries. Analyses of biology and distribution did not support separate regional stocks for BOR. A single coastwide stock was also assumed for the two previous BOR stock assessments. We use an annual catch-at-age model tuned to six fishery-independent trawl survey series, a truncated bottom trawl CPUE series, annual estimates of commercial catch since 1935, and age composition data from survey series (31 years of data from four surveys) and the commercial fishery (12 years of data). The model starts from an assumed equilibrium state in 1935, and the survey data cover the period 1967 to 2019 (although not all years are represented). Two fisheries are modelled: one a combined bottom and midwater trawl fishery and an ‘other’ fishery, which combines halibut longline, sablefish trap, salmon troll, rockfish hook and line, etc. The second fishery is a compromise that acknowledges other methods capturing this species while keeping the complexity to a minimum, given the lack of good information from these additional fisheries. Three base runs using a two-sex model were implemented in a Bayesian framework (using the Markov Chain Monte Carlo procedure) under a scenario that fixed natural mortality to three levels (0.07, 0.08, 0.09) while estimating steepness of the stock-recruit function, catchability for the surveys and CPUE, and selectivity for four of the six surveys and the commercial trawl fleet. These three runs were combined into a composite base case which explored the major axis of parameter uncertainty in this stock assessment. Nine sensitivity analyses were performed to test the effect of alternative model assumptions. The composite base case suggests that the BOR spawning population lies in the Critical Zone (with a probability >0.99), as do the three component runs. This is in spite of the stock being moderately productive and exploitation rates being uniformly low. For instance, the median exploitation by the trawl fishery, which accounts for 95% of the catch, in the final year is estimated to be 0.025 (0.012-0.044) even at the very low biomass levels. A strong cohort, estimated at 44 times the long term average recruitment (range: 30-58), was born in 2016 and is projected to bring this stock out of the Critical Zone by the beginning of 2023 and will have a better than 50% probability of being in the Healthy Zone in that same year. These predictions are entirely dependent on the assessed size of the 2016 year class, which is highly uncertain. However, there is evidence, beginning in 2017, that this cohort is large and dominates the available data. Three of the synoptic surveys, particularly the Queen Charlotte Sound survey in 2019, show strong quantitative increases in abundance and in distribution. This cohort dominates the age and length frequencies in the commercial trawl, beginning in 2018. Similar strong recruitment (in 2010 and 2013) in the US BOR population, located south of Monterey, has lifted that stock out of an ‘overfished’ designation and was assessed in 2017 to be approaching 0.5B0. We suggest that the demonstrable capacity of the four active synoptic surveys plus the high quality monitoring of the trawl fishery catches and discards will verify the progress of this strong cohort as it recruits to the fishery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.277
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207