Vascular plant and bryophyte flora in midterm hybrid aspen plantations on abandoned agricultural land
Bibliographic record
Abstract
Short-rotation forest plantations with hybrid aspen on abandoned agricultural land are a novel use of land in eastern and northern Europe; however, to date, their impact on floristic diversity has not been thoroughly studied. Our aim is to determine the kind of vascular plant and bryophyte (including epiphytes) species that benefit from such plantations. Data on understorey and soil humus layer properties were collected as part of the repeated monitoring of 204 permanent vegetation plots in twenty-four 13- to 14-year old commercial hybrid aspen plantations in boreonemoral Estonia. Data analysis indicated that the understorey of midterm hybrid aspen plantations is formed of species with different ecological requirements, ranging from typical fallow species to shade-tolerant forest species. Midterm plantations were dominated by common grassland species; however, occasionally less frequent and protected grassland species were also found. No rare species of epigeic or epiphytic bryophytes were recorded. Overall, a slow succession towards a shade-tolerant understorey was observed when comparing midterm and young plantations, with the occurrence of forest species in negative correlation with the amount of canopy-transmitted total solar radiation. The number of species characteristic of forests growing on similar soil types was low. Further studies will clarify how close the habitat in such intensively managed plantations on abandoned agricultural lands can approach that of natural forests in hemiboreal conditions.
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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".