Estimates of Reproductive Potential and Timing in California Sea Cucumbers Parastichopus californicus (Stimpson, 1857) from Southeast Alaska Based on Natural Spawning
Bibliographic record
Abstract
Accurate estimates of fecundity and spawn timing are essential to fisheries management but can be difficult to obtain in nonaggregating broadcast-spawning species such as the commercially harvested sea cucumber Parastichopus californicus. Individuals of P. californicus collected from Southeast Alaska (SEAK) over 3 y were examined to determine the timing of spawning based on seasonal variations in gonad indices (GI). Gonad indices measured at different time points in the annual reproductive cycle were compared with gonad lipid content and egg development to validate GI as an indicator of gonad maturation. Fecundity was estimated as the total number of eggs and as the number of viable eggs produced in both live-spawned and strip-spawned animals. Results suggest spawning may occur slightly earlier than previously reported in British Columbia, Canada, where fecundity was about two times higher than in SEAK. Seasonal changes in gonad total lipid and maturation stage were recorded. Gonad index was moderately correlated with both gonad lipid content and maturation stage. Estimates of total fecundity and viable eggs based on live spawning did not significantly differ among the 3 y sampled. Live spawning yielded comparable estimates of total fecundity and viable eggs per gram female wet weight compared with strip spawning. These findings inform aquaculture efforts and management of the commercially harvested SEAK population of P. californicus.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".