The dynamics of a mountain mixed forest under wind disturbances in the Tatra Mountains, central Europe — a dendroecological reconstruction
Bibliographic record
Abstract
Windstorms are among the most severe disturbances that affect mountain forests in central Europe. This study was conducted in a windthrow area resulting from a windstorm of an enormous scale in November 2004 in the Slovakian High Tatras Mountains. In this study, we used dendrochronological methods to determine the age structure and growth pattern of 529 Norway spruce ( Picea abies (L.) Karst) and 103 European larch ( Larix decidua Mill) during the last 200 years by examining cross sections of stumps. The multiage structure of the spruce indicated that this species regenerated constantly throughout the reconstruction period. The age structure of the larch was distinctly bimodal with only two ca. 20 year periods of regeneration. The initiation of larch recruitment overlapped in time with release pulses and showed severe disturbance events. A sudden and simultaneous production of compression wood and resin pockets in survivor trees indicated that wind was the most probable disturbance factor. The current composition of the stand with coexisting spruce and larch was a result of infrequent and severe windstorms events. Larch benefits from broader openings and regenerates in recruitment pulses once or twice per century, whereas spruce may regenerate constantly taking advantage of small-scale, gap-phase processes. Such a disturbance scenario allows the light-demanding larch to coexist among the more shade-tolerant spruce.
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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 | 0.001 | 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".