Plant Community Structure After Wildfire in the Subarctic Forests of Western Labrador
Bibliographic record
Abstract
Abstract We compared western Labrador (Canada) plant communities on 12 10-ha plots representing five forest ages (2, 18, 40, 80, and 140 years) on subhygric sites and two 140-year-old sites on an atypical, moist, well-drained soil. Species richness was less variable and lower on the 80-year-old sites, and conifers did not dominate a site until 40 to 80 years after a disturbance. Herbs were dominant on 2- and 18-year-old sites, whereas woody shrubs were common across all successional stages. Cladina spp. were most abundant on our 40-year-old sites but were replaced by pleurocarpous mosses on our ≥80-year-old sites. Our results are consistent with others who found a delay in conifer establishment that may have resulted from poor seed beds due to the accumulation of unburned duff and inhibitory chemicals from Cladina spp. If these factors are inhibiting conifer establishment, this may conflict with the objectives of forest managers considering emulating natural disturbance in forest operations.North. J. Appl. For. 22(4):229–235.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".