Tracking anthropogenic‐ and climatic‐related environmental changes in the remaining habitat lakes of the endangered Atlantic whitefish (<i>Coregonus huntsmani</i>) using palaeolimnological techniques
Bibliographic record
Abstract
Abstract Atlantic whitefish (Coregonus huntsmani) is a critically endangered species whose remaining habitat is restricted to three lakes near Bridgewater, Nova Scotia, Canada. Other lakes in this region have been affected by a variety of environmental changes over the past 150 years (e.g. acidic deposition, eutrophication, and climatic changes); however, the extent of the impact on these remaining Atlantic whitefish lakes, and how the current limnological conditions compare with pre‐industrial conditions, is not known. Given the lack of long‐term monitoring data, palaeolimnological techniques were used to track environmental changes in these three lakes to infer historic limnological conditions. Results of this study show that acidic deposition has had no significant impact on these lakes (diatom‐inferred lakewater pH has changed little over time), nor has the nutrient status of these lakes changed as the sediment profiles have been consistently dominated by oligotrophic diatom taxa. Changes in the dominance of diatom assemblages since ∼1850, fromAulacoseira distanstoCyclotella stelligera, are correlated with climatic warming (r = 0.48–0.89,P<0.05). Contrary to initial concerns, these only remaining habitats of the Atlantic whitefish have not yet been affected by acidic precipitation. However, other potential stressors, such as climatic warming and associated limnological changes, may now be affecting the habitat of this endangered species. Copyright © 2008 John Wiley & Sons, Ltd.
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".