The ectomycorrhizal associations of Larix laricina (Du Roi) (tamarack) K. Koch and Betula glandulosa Michaux (scrub birch) seedlings in peatlands of central British Columbia.
Bibliographic record
Abstract
Peatlands are habitats where peat accumulation exceeds decomposition, resulting in poorly drained, nutrient-poor and acidic soils. Tamarack (Larix laricina, family Pinaceae), a deciduous conifer, and scrub birch (Betula glandulosa, family Betulaceae), a low-lying deciduous shrub, are two plant species well adapted to the cold climates and short growing seasons of Central British Columbia and generally able to tolerate the wet, poorly drained soils of peatlands. Ectomycorrhizas are mutualistic associations formed between plant roots and symbiotic fungi ectomycorrhizal fungi that facilitate nutrient acquisition and water uptake in exchange for host carbon, may play an important role in the survival of these species. This study characterized tamarack and scrub birch ectomycorrhizas in three different peatland habitats using morphological (light microscopy) and molecular analysis (PCR-RFLP) methods. Ectomycorrhizal morphotypes and corresponding genotypes (fragment patterns) are described and ideas of host and peatland site specificity are explored. Results suggest that ectomycorrhizal colonization in peatland habitats may be similar to that for other hosts in other habitat types. Both morphology and molecular results indicate a high potential for ectomycorrhizal fungal linkages between hosts. This study presents the first published information on ectomycorrhizal associations of scrub birch.
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 | 0.001 | 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) | 0.000 | 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".