Changes in Diatom Assemblages in Canoe Lake: Climate Change and Watershed Influences
Bibliographic record
Abstract
Long-term sediment records from lakes provide a valuable historical perspective for comparing recent environmental changes with past conditions. This study reconstructs the environmental history of primary production and nutrient dynamics in Canoe Lake, located adjacent to the west side of Frontenac Provincial Park, Ontario. Although minimally impacted today, Canoe Lake was historically affected by settlement-related disturbances, including logging and damming. It is classified as oligotrophic, with low phosphorus levels (<10 µg/L), and supports a natural Lake Trout population. A paleolimnological approach was used to reconstruct past environmental conditions by dating the lake core and analyzing the diatom assemblages preserved in the lake sediments as proxies of changes in primary production and past levels of nutrients. Diatom species assemblages were identified and analyzed to determine whether shifts occurred over the past ~200 years and if these changes correlate with known watershed disturbances. I hypothesize that shifts in diatom assemblages will reflect changes in primary production due to both anthropogenic and natural forces. The findings will contribute to ongoing research efforts to understand how ongoing climate change has impacted primary production in aquatic ecosystems in the region, specifically in Trout lakes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".