The effects of fire and stand age on seedling establishment of<i>Pulsatilla patens</i>in a pine-dominated boreal forest
Bibliographic record
Abstract
Successful management of disturbance-related endangered plant species requires thorough knowledge concerning their recruitment ecology. Pulsatilla patens (L.) Mill. is found in northern European forests that in the past have been subjected to a periodic wildfire regime and, thus, is supposedly adapted to corresponding changes in forest light conditions and thickness of the moss and litter layers. We tested whether this is true in a field experiment where seeds of P. patens were sown in experimentally burned and control boreal Scots pine forest sites of different successional age (clear-cut, 30 years old, 45 years old). The germination and early establishment of P. patens was enhanced in the experimentally burned conditions and was more successful in younger successional stages. On the other hand, in sites with a tree layer, the germination of P. patens was better in relatively darker areas, suggesting that the negative effect of successional age is probably not a result of changing light conditions, but rather a result of thicker moss and litter layers in the later successional stages.Key words: boreal forest, germination, forest fire, litter layer, Pulsatilla patens, seed sowing.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".