The physical limnology of two shallow organic lakes in Nova Scotia : vulnerability and senstivity [sic] to short-term climate change
Bibliographic record
Abstract
To interpret lake sediment records in terms of fluctuating climate it is necessary to understand contemporary processes operating in shallow lakes and within their catchments. Although these lakes comprise significant habitat for a wide variety of species, very little is understood about how climate change will affect their physical state. Canoran Lake, Lunenburg Co. and Sandy Lake, Annaopolis Co. have similar volumes, areas, and elevations but have unique basin morphometries. Datalogged thermistor strings were placed in the littoral zones, profundal zones and the canopy of both lakes from May — August, 2003. The water quality characteristics were determined using a wide variety of standard analyses. Canoran Lake is a complex basin with two profundal zones and a discontinuous, vegetated littoral zone. Sandy Lake has one profundal basin and a continuous, largely unvegetated littoral zone. Thermal results indicated that these two lakes reacted uniquely to both daily and longer term thermal variation. Profundal lake temperatures remained nearly constant in Canoran Lake but increased consistently in Sandy Lake. At both sites, profundal temperatures were unaffected by short-term thermal variation. These results indicate that Sandy Lake is more sensitive to summer air mass circulation changes, possibly as a result of its simple basin shape which simplifies the transfer of heat through the water column, but Canoran Lake is more vulnerable to climate change because the sill separating the two basins impedes heat transfer. Though these changes are subtle, they are anticipated to have a significant affect on productivity. Thermal sensitivity models based on these data will allow ecologists to better understand how the lake (as habitat) will evolve and are essential to the implementation of species monitoring and conservation programs.
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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 | 0.001 |
| 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".