Diversité de la végétation et du réservoir de graines du sol dans une pelouse calcicole du nord-ouest de la France
Bibliographic record
Abstract
In a chalk grassland of the Seine valley in northwestern France, vegetation and seed bank were compared according to their composition, diversity, and spatial structure through use of a spatial sampling design. The results show (i) that it is possible to establish a successional gradient from short grasslands to early stages of forests with vegetation data; (ii) that there is a weak correspondence between vegetation and seed bank (mean similarity 41%), which was mainly dominated by opportunistic annual or biennial species (Hypericum perforatum, Blackstonia perfoliata); (iii) that there are differences between spatial patterns of vegetation and seed bank. These spatial patterns often exhibit a time lag and represent different levels of heterogeneity. The spatial heterogeneity of the seed bank and its independence from the vegetation structure were interpreted according to the functioning of the two compartments and their type of exchanges (through seed rain and seedling recruitment).Key words: chalk grassland, biodiversity, spatial pattern, succession, seed bank, synchronic approach.
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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 | 0.002 | 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".