Effects of Temperature Fluctuation on Burbot Embryos: Implications of Hydropower and Climate Change
Bibliographic record
Abstract
Abstract Populations of Burbot Lota lota across the Holarctic ecozone are facing imperilment from environmental warming, particularly in ecosystems impacted by hydropower and climate change. We conducted a series of laboratory experiments to evaluate the tolerance of Burbot embryos to various thermal regimes. Both cyclical and constant warming between 4.0°C and 5.5°C during the initial 25 degree‐days of embryo development led to significant deformity and mortality of protolarvae, with faster rates of temperature increase (i.e., 0.4°C/d) causing greater harm than gradual rates of warming. Random family effects interacted with incubation temperature of embryos to account for significant variability in deformity and survival of protolarvae. These findings have management implications for identifying and/or augmenting the thermal fitness of populations in modified ecosystems, particularly in Burbot populations where aquaculture production supports abundance. A model of hatching time based on degree‐days of embryo development was also developed to improve predictions of natural emergence, peak larvae abundance, and optimal timing for larvae stocking. It is recommended that hydropower operations avoid thermopeaking during winter spawning of Burbot, especially if reservoir discharges exceed 4°C. Maintaining water temperatures below 3°C for at least the first 2 weeks of embryogenesis is critical for Burbot reproduction and underscores the importance of ice‐covered spawning habitats. Global climate trends are expected to exacerbate warming in rivers, and many challenges lie ahead for conservation efforts seeking to mitigate the risks of Burbot extirpation.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".