Green Sea Urchin stock status update and harvest options
Bibliographic record
Abstract
British Columbia’s Green Sea Urchin (Strongylocentrotus droebachiensis) stock is assessed every three years using the assessment model developed by Perry et al. (2003). The last assessment was conducted in 2021 (DFO 2021a) and was used to inform the Pacific Region’s Green Sea Urchin 2021-2024 Integrated Fishery Management Plan (IFMP) (DFO 2021b, 2022, 2023). The present assessment provides updated advice, based on the inclusion of new data, for the development of the next IFMP in 2024 and subsequent IFMPs until spring 2027. Fisheries and Oceans Canada (DFO) Fisheries Management has requested advice for the Green Sea Urchin fishery in British Columbia (BC), by spring 2024, on the following: 1. Evaluate stock status of Green Sea Urchins in Northeast (Pacific Fisheries Management Areas - PFMAs: 11, 12, and 13) and Southeast Vancouver Island (PFMAs 14, 18, 19, and 20) using provisional reference points and density estimates derived from biological surveys within each management region. 2. Provide the ranges of sustainable harvest options for the commercial harvest regions (PFMAs 11, 12, 13, 14, 18, 19, and 20). 3. Analyze index site survey data (PFMAs 12 and 19) and present the recent trends in the local populations and population structure for Green Sea Urchins. 4. Examine and identify uncertainties in the data and methods. 5. Provide recommendations for additional research or stock assessment programs. This assessment updates previously published time series data and provides new harvest options for the 2024-2025 to 2026-2027 Green Sea Urchin fishery. Methods remain largely unchanged since 2003 and a Bayesian biomass dynamic model continues to be used in the assessment of BC’s Green Sea Urchin stock (Perry et al. 2003, 2006; Zhang and Perry 2005; Waddell et al. 2010; DFO 2015, 2016, 2018a, 2021a). This assessment updates the model results with the most recently available commercial catch (fishery-dependent) and biological dive survey (fishery-independent) information. Provisional reference points compliant with the DFO’s Fishery Decision-Making Framework Incorporating the Precautionary Approach (DFO Precautionary Approach; DFO 2009) were established (DFO 2018a) and subsequently implemented in the fishery (DFO 2018b). Using these reference points, Green Sea Urchin stock status can be estimated in the regions of Northeast Vancouver Island (PFMAs 11, 12, and 13) and Southeast Vancouver Island (14, 18, 19, and 20); the two regions where the long-term index sites are located (PFMAs 12 and 19). This Science Response Report results from the May 23, 2024 regional peer review on Stock Status Update and Harvest Options for the Green Sea Urchin (Strongylocentrotus droebachiensis) Fishery in British Columbia, 2024-2027.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".