Stability in Life History Characteristics among Burbot Populations across Environmental Gradients
Bibliographic record
Abstract
Abstract We examined the variation in the growth, morphometry, life history, and reproductive traits of 24 lake‐dwelling populations of Burbot Lota lota from across Canada with respect to latitude and lake characteristics as well as the differences in these traits between the sexes across populations. Overall, there was stability in most of the life history traits examined vis‐à‐vis the environmental gradients tested (latitude, Secchi depth, lake area, and maximum lake depth). Among populations, spawning dates ranged from the last week of January to mid‐March (most commonly within the first three weeks of February), and date of spawning was not strongly related to latitude or lake characteristics. Liver size and gonad size did not vary significantly with latitude or other lake characteristics, and neither gonad size nor egg size were strongly related to maternal size. However, egg size decreased with latitude and increased with lake area. The proportion of females in nonspawning condition within populations was positively related to Secchi depth and lake area, whereas size at age decreased with Secchi depth. Both swim bladder mass and gas gland mass increased with maximum lake depth. With the exception of the relative liver size of fish in spawning condition, there were was no evidence of sexually dimorphic characteristics in Burbot across populations. The monomorphism of gonad size observed in Burbot across populations is unusual among boreal fishes. The geographic variation in Burbot reproductive ecology observed in this study provides insight into the potential impacts of a changing environment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".