Ecological interpretation of tree-ring width and intraannual density fluctuations in<i>Pinus sylvestris</i>on dry sites in the central Alps and Siberia
Bibliographic record
Abstract
The radial growth of Pinus sylvestris L. from nine sites at the semiarid lower forest border of the central Alps (Switzerland) and central Siberia (Russia) has been investigated using dendroecological methods. Tree growth differed according to soil substrate, with trees on dune sites showing lower mean ring widths, lower mean sensitivities, and higher autocorrelation. The relationships between climate and tree-ring width were studied using response function analysis. Independent of the climatic zone and the soil substrate, precipitation just before and at the beginning of the growing season is positively correlated with radial growth. The climatic response of dune sites is low, possibly because of the poor water-holding capacity and the high permeability of the sandy soils. Intraannual density fluctuations (IADFs) were observed at all the sites. Most IADFs were found in latewood. On dunes, fewer cores contain IADFs, and their frequency is lower. All stands showed significant relationships between IADF frequency and tree-ring width (positive) and ring age (negative). For Swiss sites, moist-cool conditions in the middle of the growing season are demonstrated as the triggering factor for IADFs. For the Russian sites, inadequate climatic data made it impossible to demonstrate any climate dependence of IADFs.
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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".