Scots pine bait seedling performance and root colonizing ectomycorrhizal fungal community dynamics before and during the 4 years after forest clear-cut logging
Bibliographic record
Abstract
The aim of the study was an integrated monitoring of Scots pine ( Pinus sylvestris L.) bait seedling performance and ectomycorrhizal fungal community dynamics in a Scots pine dominated stand one growing season before and over four seasons after forest clear-cut logging. The effects of planting location and time were assessed in relation to subsequent seedling performance and ectomycorrhizal diversity. Application of advanced regeneration, where seedlings were planted one growing season before the clear-cut event, resulted in increased seedling growth in the clear-cut area over the subsequent 4 years. However, counterparts planted in the interface zone in 1997, between the future uncut stand and the clear-cut area, exhibited poorer growth compared with those planted after clear-cut harvesting. The interface zone was generally richest in ectomycorrhizal diversity, and this was confirmed using complementary morphotyping and rDNA-based identification methods. Large numbers of ectomycorrhizal types were present on Scots pine seedling roots and instead of detecting dramatic changes in total number of types, species composition changes could be better related to changes in exploratory types of ectomycorrhizas with a trend towards less rhizomorphic types in the clear-cut treatment compared with the control forest. Changes in the community structure are presumably influenced by changing environmental conditions in the site.
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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 | 0.000 | 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".