Effects of selective cuts on the mycorrhizae of regenerating Betula alleghiensis and Acer saccharum seedlings in two Quebec mixed deciduous forests
Bibliographic record
Abstract
The mycorrhizae of younger (2- to 3-year-old) and older (5- to 12-year-old) yellow birch (Betula alleghaniensis Britton) and sugar maple (Acer saccharum Marsh.) seedlings and saplings were recorded from naturally regenerating plants in gaps created by selective cuts and compared with those of plants of comparable age growing in the undisturbed forest. The levels of ectomycorrhizal colonization and the diversity of ectomycorrhizal fungi (based on morphotyping) were recorded for yellow birch and the levels of colonization and the abundance of arbuscules, vesicles, and coils were reported for the vesicular-arbuscular mycorrhizae of sugar maples. Selective cutting had no negative effect on the mycorrhizal community structure of yellow birch and sugar maple. This may be because of the quick regeneration of the mycorrhizal hosts coupled with the minor levels of soil disruption and relatively small gap size at the study sites. Greater colonization levels in the gaps versus uncut areas were observed in the 2- to 3-year-old maples but not in the 2- to 3-year-old birch seedlings. The types of ectomycorrhizal fungi colonizing the roots of birch seedlings from the gaps did not differ from those in the uncut forest areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".