Needle longevity of Scots pine in relation to foliar nitrogen content, specific leaf area, and shoot growth in different forest types
Bibliographic record
Abstract
The aim of the study was to examine whether the variation in needle longevity of Scots pine (Pinus sylvestris L.) is of a community-specific nature. Altogether 300 trees were examined in Vaccinium, dry heath, and pine bog forests in Estonia. Mean number of needle age-classes was 4.1 for all forest types, while mean survivorship of needles averaged 70% in Vaccinium forests and 80% in the others (p < 0.01). Mean mass-based nitrogen content (Nm) of the needles was the highest in Vaccinium forests (11.8 mg·g1, p < 0.05) and lower in dry heath (10.4 mg·g1) and pine bog (9.8 mg·g1) forests. Specific leaf area (SLA) did not differ between Vaccinium (6.3 mm2·mg1) and dry heath (6.0 mm2·mg1) forests but was lower in pine bog forests (5.5 mm2·mg1, p < 0.05). Shoot length increment was the smallest in pine bog forests (45.1 mm·year1, p < 0.05) and did not differ between Vaccinium (92.2 mm·year1) and dry heath (95.2 mm·year1) forests. Our findings confirm that the small-scale variation in needle longevity of Scots pine has a community-specific pattern and is in accordance with the trends in Nm and SLA.
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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 | 0.000 |
| 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".