A high-resolution vegetation, fire, and climate history from the Aishihik Region, Yukon Territory, Canada
Bibliographic record
Abstract
Paleocological studies based on the analysis of lake sediments offer the potential for high resolution and well-dated records of past environmental conditions. A 2.7 m sediment core raised from Lake WA01 (unofficial name, 61°14'41"N, 136°55'35"W, 1000 m.a.s.l.) in the Aishihik region of the southwest Yukon Territory documents the post-glacial vegetation, fire, and climate history of the region surrounding the study site. The earliest portion of the WA01 pollen record was characterized by the establishment of open birch-shrub tundra at the study site. Picea glauca then established ca. 9,900 cal yrs BP, and has since remained dominant on the landscape Progressively decreasing precipitation in the region over the last ca. 9,000 years, noted in a previous study by Viau et al. (2008), is not captured in the Lake WA01 climate reconstructions. From ca. 9,900 cal yrs BP to the present day, reconstructed mean July temperatures and total annual precipitation at the study site remained essentially constant. A short period of low total annual precipitation is noted from deglaciation at 10,500 cal yrs BP to 9,900 cal yrs BP. The regional-scale fire regime surrounding the study site increased gradually in intensity over the course of the Holocene. Local fires in the area immediately surrounding the study lake decreased gradually in frequency and/or size over the course of the Holocene, though the exact cause remains unclear. An alternating pattern in the sediment loss-on-ignition from Lake WA01 is related to similar trends in □18O values from the Mount Logan oxygen isotope record (Fisher et al., 2008). Based on a positive association between sediment carbonate content and enriched □18O values from the Mount Logan record, it is proposed that periods of increased and decreased sediment carbonate content in the WA01 core are indicative of wetter and drier conditions at the study site, respectively.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".