Four-decadal series of dendrometric measurements reveals trends in <i>Pinus sylvestris</i> inter- and intra-annual growth response to climatic conditions
Bibliographic record
Abstract
We analyzed a 42-year series (1976–2017) of Scots pine (Pinus sylvestris L.) tree-diameter data, obtained using band dendrometers, from our study site in Aukštaitija National Park, Lithuania. We evaluated the intra- and inter-annual growth dynamics of tree diameter and their response to meteorological forcing, as well as the long-term annual and monthly growth-rate changes in tree diameter in the study area. On average, the largest growth in tree diameter was found to have taken place in June (35% of the annual increase). After 24 June, the tree-diameter growth rate strongly decreased. Pine growth in May and August was mostly affected by the temperature during the previous month. Precipitation was the main driver that determined tree growth in June–August, with heavy precipitation events having the largest impact on short-term increases in tree diameter. We determined that the largest positive growth-rate changes in Scots pine tree diameter occurred as a result of higher air temperature in May and June between 1976 and 2017.
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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 | 0.000 | 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) | 0.000 | 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".