Intra-annual density fluctuations of Pinus pinaster are a record of climatic changes in the western Mediterranean region
Bibliographic record
Abstract
Climate projections for the Mediterranean area estimate a decline in total precipitation, warmer temperatures, and a higher frequency of extreme drought events. It is important to understand how trees respond to these climatic changes and which wood anatomical structures best document the trees’ response to those changes. The present work investigates the climatic signal of tree-ring width, latewood width, and the frequency of intra-annual density fluctuations (IADFs) during the last 100 years for Pinus pinaster Aiton growing in the western Mediterranean region. Based on meteorological data, it was observed that since the 1950s, average annual temperature and autumn and winter precipitation increased. Tree-ring width and latewood width of P. pinaster were positively correlated with winter and summer precipitation and negatively correlated with spring and summer temperatures. The frequency of latewood IADFs showed a positive and time-stable correlation with September and October precipitation. However, after the 1970s, the frequency of IADFs also became correlated with climatic conditions later in the year, specifically with the temperatures of November and December, probably because of the recent climate changes. IADFs chronologies, besides being very useful to reconstruct autumn precipitation, can add new climatic information to ring-width chronologies.
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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) | 0.000 | 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".