Modeling future dissolved oxygen and temperature profiles in small temperate lake trout lakes
Bibliographic record
Abstract
Climate warming has been projected to alter the habitat ranges of cold-water fish species.To numerically model these changes, a simple dissolved oxygen (DO) sub-model has been embedded into a one-dimensional thermodynamic lake-tile model that simulates small unresolved lakes within the land surface scheme of a climate model.To account for the lack of monitoring data for most small lakes, respiration, photosynthetic production, and sediment oxygen demand were parameterized as functions of simulated light intensity, water temperature and the DO concentration.The model predicted the temperature and DO profiles with root-mean-square error <1.5 °C and <3 mg L -1 , respectively, in two Canadian Boreal lakes.Simulations of future (2071-2100) lake conditions predict a warming-induced reduction in the strength of seasonal lake turnover events occurring for RCP 2.6, and consequently long periods of hypolimnetic hypoxia.Further reductions in DO for RCP 4.5 and 8.6 were negligible.This will reduce the endof-summer volume weighted hypolimnetic dissolved oxygen concentration from ~6 mg L -1 during 1978-2005 to ~1 mg L -1 during 2071-2100 (average of 3 RCPs), well below the 7 mg L -1 provincial standard for juvenile lake trout.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".