Additional file 1 of Tree growth is more limited by drought in rear-edge forests most of the times
Bibliographic record
Abstract
Additional file 1: Figure S1. Latitude of the studied sites showing different symbols which correspond to poleward or northern (blue triangles), intermediate (black circles) and equatorward or southern (red squares) sites. Figure S2. Temperature and precipitation trends of the six species (a, Pinus uncinata; b, Abies alba; c, Fagus sylvatica; d, Pinus sylvestris; e, Quercus robur; f, Quercus petraea) studied in the northern (blue lines and symbols), intermediate (black lines and symbols) and southern (brown lines and symbols) tree populations for the period 1950–2006. Figure S3. Mean tree-ring width series of the six species (a, Pinus uncinata; b, Abies alba; c, Fagus sylvatica; d, Pinus sylvestris; e, Quercus robur; f, Quercus petraea) studied in the northern (blue lines), intermediate (black lines) and southern or rear-edge (brown lines) populations considering the period 1900–2018. Figure S4. Significance of the moving window correlations calculated between mean site series of ring-width indices of north, intermediate and south tree populations and monthly temperature data from previous September to September in the year of tree-ring formation. Previous and current months are abbreviated by lower- and upper-case letters, respectively. Moving correlations were obtained for 30-year intervals shifted by one year and the middle year of the interval is shown in x axes for each species (a, Pinus uncinata; b, Abies alba; c, Fagus sylvatica; d, Pinus sylvestris; e, Quercus robur; f, Quercus petraea). The colour scale shows the significance (p < 0.05) of the Pearson correlation coefficients (blue, significant negative values; red, significant positive values). Figure S5. Significance of the moving window correlations calculated between mean site series of ring-width indices of north, intermediate and south tree populations and monthly precipitation data from previous September to September in the year of tree-ring formation. Moving correlations were obtained for 30-year intervals shifted by one year and the middle year of the interval is shown in x axes for each species (a, Pinus uncinata; b, Abies alba; c, Fagus sylvatica; d, Pinus sylvestris; e, Quercus robur; f, Quercus petraea). The colour scale shows the significance (p < 0.05) of the Pearson correlation coefficients (blue, significant negative values; red, significant positive values). Figure S6. Significance of the moving window correlations calculated between mean site series of ring-width indices of north, intermediate and south tree populations and the June SPEI drought index at 1-, 3-, 6-, 9-, 12-, 15-, 18-, and 21-month temporal resolutions (y axes). Moving correlations were obtained for 30-year intervals shifted by one year and the middle year of the interval is shown in x axes for each species (a, Pinus uncinata; b, Abies alba; c, Fagus sylvatica; d, Pinus sylvestris; e, Quercus robur; f, Quercus petraea). The colour scale shows the significance (p < 0.05) of the Pearson correlation coefficients (red, significant positive values).
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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 | 0.001 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.849 | 0.149 |
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".