Relative importance of climatic and autogenic controls on Holocene carbon accumulation in a temperate bog in southern Ontario, Canada
Bibliographic record
Abstract
Peat cores from Wylde Lake Bog in temperate southern Ontario, Canada, were examined to determine factors affecting Holocene ecological change and long-term rate of carbon accumulation (LORCA). By 10,250 cal. BP, a marsh was established, characterized by sediments with higher bulk density, highly decomposed material in the macrofossil record, and lower LORCA. By 8100 cal. BP, the marsh was replaced by a peat-accumulating fen dominated by herbaceous taxa and non- Sphagnum mosses. Around 4000 cal. BP, transition to a Sphagnum-dominated bog took place. These directional changes suggest a strong role for autogenesis, although periodic fluctuations in macrofossil assemblages and in LORCA suggest an important secondary role for climatic change and disturbance in explaining Holocene changes. LORCA remained fairly stable through the fen and bog zones, ~18 g C/m 2 /yr. In the high-resolution record spanning the most recent 1800 years, relatively higher values for LORCA and macrofossils associated with wetter conditions were recorded around 1400 cal. BP, partially coincident with the ‘Medieval Climate Anomaly’. LORCA decreases to minimum values for the record during part of the ‘Little Ice Age’ as woody macrofossils increase, suggesting a drier peat surface. The most recent portion of the record shows significant changes in LORCA and in bog vegetation associated with anthropogenic land clearance and damming. The charcoal record suggests that fire did not play an important role in peatland dynamics in the pre-industrial Holocene; however, a major anthropogenic fire in ad 1870 significantly altered the peatland, affecting surface vegetation heterogeneously.
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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 | 0.002 | 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".