Broadleaf species expansion in forested peatlands: the case of <i>Thuja occidentalis</i> – <i>Larix laricina</i> peatland
Bibliographic record
Abstract
The impacts of human disturbances on temperate forested peatlands remain poorly understood. What are their past and present dynamics under pressure from human activities? How will their forest cover evolve in the future? These questions were examined through a study of the contemporary (20th–21st centuries) and past (several millennia) dynamics of a forested peatland dominated by Thuja occidentalis and Acer rubrum (minerotrophic sectors) and Larix laricina and A. rubrum (ombrotrophic sectors). We use paleoecological, dendrometric, dendrochronological, and aerial photographs analyses to define the reference condition of the vegetation by describing its long-term evolution, documenting its transformation in response to anthropogenic disturbances, and propose a scenario for forest evolution in the coming decades. The reference condition of the minerotrophic sectors is a coniferous forest ( T. occidentalis, L. laricina, Picea sp.) that has existed for at least 5000 years. Acer rubrum established in recent decades and is now abundant in the regeneration (seedlings and saplings). The reference condition of the ombrotrophic sectors is a shrub-dominated peatland, with tree encroachment initially by L. laricina, followed by A. rubrum since the mid-20th century. Coniferous species currently face a regeneration deficit in both sectors, and Acer rubrum could eventually become the dominant species, which would represent an alternative state for the peatland. Forest dynamics have been influenced by conifer logging and possibly by a lowering of the peatland water table.
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 | 0.001 | 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".