Is ring width a reliable proxy for stem-biomass increment? A case study in European beech
Bibliographic record
Abstract
The relationship between basal-area increment and stem-volume increment or biomass annual production was investigated in 30 dominant European beech (Fagus sylvatica L.) in northeastern France. The trees were sampled at four heights along the stem for dendrochronological and densitometric measurements. Annual stem-volume and stem-biomass increments were computed from the measurements and were not obtained by applying allometric relationships. A comparison of the ring-area increments at the four stem heights indicated that the vertical distribution of annual growth fluctuates at an interannual time step and is influenced by climate during the growing season, particularly drought events. Ring-area increments were more strongly reduced at breast height than in the upper parts of the tree during dry years. Relationships between basal-area increment and volume or annual biomass production were very strong, but the residuals of these relationhips contained up to 50% climate information. The amplitude of the breast-height radial-growth response to drought is much larger than the volume and biomass-production responses. Variations of wood density in this diffuse-porous species are not large enough to consistently modify the estimates of annual stem biomass production. Breast-height series are a valuable tool for dendrochronological investigations, but as they are more sensitive to drought, they greatly underestimate tree biomass increments during drought episodes.
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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 | 0.002 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".