Interactions pour la lumière entre les arbres adultes, les jeunes arbres et la végétation du sous-bois au sein d'un écosystème forestier : application à la régénération du pin sylvestre en peuplement mélangé chêne sessile - pin sylvestre
Bibliographic record
Abstract
Irregular forest stands regeneration is considered using gap creation that provokes a light increase in the understorey. The light increase leads to the recruitment of new trees as well as the potential colonization by competitive herbaceous and shrubby species. This study focused on light interactions between Scots pine (Pinussylvestris) seedlings and saplings and competitive vegetation made up of Calluna vulgaris, Molinia caerulea andPteridium aquilinum growing in mixed sessile oak (Quercus petraea)-Scots pine stands in acidic temperateforests in France.The light was the key limiting factor controlling Scots pine seedling and sapling growth. Seedlings are able totolerate a consequent shading, whereas sapling light requirement increases with their size. The growth of C.vulgaris, M. caerulea and P. aquilinum was measured according to light availability. For a given cover,P. aquilinum intercepted more light than M. caerulea and C. vulgaris. P. aquilinum involved a more pronounceddecrease of pine seedling growth as this species was able to reach high cover even in very shaded conditions. For all the three species, processes like allelopathy, belowground competition or mechanical interference were assumed to also impede with pine seedling growth. All those results were integrated in a conceptual forest dynamics model named RReShar (Resource and Regeneration Sharing).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".