Holocene development of a peatland (southern Québec): a spatio-temporal reconstruction based on pachymetry, sedimentology, microfossils and macrofossils
Bibliographic record
Abstract
This study examines the relationships between allogenic and autogenic processes during the Holocene development of a southern Quebec bog. Local vegetation, surface moisture and peat accumulation were independently reconstructed from palaeoecological data (microfossils, macrofossils, loss-on-ignition and radiocarbon dating) and sedimentological analyses conducted on seven profiles. The observed successional stages, from pond to marsh, rich fen, poor fen then bog, represents a typical hydrosere. The early wetland development provides an obvious illustration of the facilitation model: each community modified the hydrological conditions by means of peat accumulation which then favoured the onset of the succeeding stage. No direct link is evidenced between vegetation, moisture and peat accumulation, while all of them clearly reveal the initial influence of minerotrophic groundwater supply. Notably, the decrease in this allogenic influence is reflected by the increasing asynchrony of local vegetation change. The comparison of the seven profiles also shows several asynchronous moisture fluctuations at the peatland scale but none seems to be related to climate. In contrast, net peat accumulation shows similar trends in all marginal profiles and at the peatland scale. As a consequence of the initial minerotrophic supply, peat-accumulation rates were high during the early Holocene and low during the midand late Holocene. Our results, which show the major influence of groundwater and autogenic processes on peat accumulation, strongly contrast with the general climatic control recognized for European peatlands.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".