Limnology and diatom paleoecology of lakes and ponds on Banks Island, N.W.T. and Devon Island, Nunavut, Canadian Arctic
Bibliographic record
Abstract
The Canadian Arctic Archipelago is an important reference region for climate change studies, however a paucity of environmental data exists for this area. With the aim to document and characterize the effects of climate change in this high-latitude region, this thesis establishes baseline environmental conditions and investigates long-term climate trends on Banks Island, NWT. and Devon Island, Nunavut through the use of limnological and paleolimnological techniques. Both islands were previously unsurveyed limnologically, and in the case of Banks Island, no previous paleolimnological study had been conducted on this island. A diatom-based TN transfer function for Banks Island was developed for application to three recovered sediment cores. A general increase in species diversity was documented in all stratigraphies, although to a lesser degree in the lake than in the ponds. Meteorological data for Banks Island from the last 50 years also showed an increase in both total annual precipitation and annual mean July temperatures. Mean total nitrogen (TN) and total phosphorus (TP) concentrations on Banks Island were demonstrably higher than those reported by previous Arctic island limnological surveys. Furthermore, Banks Island provided an opportunity to observe limnological trends across three ecozones (Low, Mid and High Arctic), as each study site could each be classified into one of these three ecozonal designations based on their nutrient and dissolved organic carbon concentrations. The limnological characterization of Devon Island revealed that its inland water bodies are generally homogeneous, being ultra-oligotrophic and dilute. The exceptions were those water bodies associated with the impact-generated carbonate melt sheets found within the boundaries of Haughton Crater in the northwestern region of Devon Island. The diatom autecology of the inland lakes and ponds on Devon Island was also characterized, resulting in the development of a diatom-based soluble reactive phosphorus transfer function, and its application to a lake sediment core. This study demonstrated both the homogeneity of the inland water bodies on this island, and their differences from the coastal lakes and ponds. Interestingly, the diatom stratigraphy did not reflect the species assemblage shifts seen in other Arctic Island paleolimnological and ice core reconstructions.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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".