Landscape- and age-based factors affecting fungal colonization of conifer seedling roots at the alpine tree line
Bibliographic record
Abstract
Survival of seedlings is a demographic bottleneck for tree populations in alpine tree-line ecotones (ATE) and may play a pivotal role in determining the elevation of timberlines and tree lines. We evaluated (1) fungal colonization of root surfaces of natural seedlings of Picea engelmannii Parry ex Engelm. and Abies lasiocarpa (Hook.) Nutt. in an ATE, (2) the relative importance of soil versus microclimate variation to differences in colonization in the ATE, determined using a reciprocal soil transplant experiment, and (3) ecophysiological responses of seedlings to natural and experimental variation in colonization. Many root systems lacked ectomycorrhizae but had extensive quantities of white mycelium attached to root surfaces. This mycelium was composed of a group of species referred to as the "alpine white complex" (AWC), and included Mortierella parvispora Linneman, Trichoderma viride Pers.:Fr., and a basidiomycete. Nearly all seedlings that survived beyond the first year of growth were colonized by AWC, whereas <10% of emergent seedlings had AWC where they commonly do not survive, in microsites distant from trees. No relationships of AWC and microclimate, photosynthesis, or water relations of seedlings were detected, and low colonization levels likely resulted from scarcity of AWC in ATE soils. Determining if and how AWC or emergent conifer seedlings benefit from their symbiosis in ATEs will require further inquiry.
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 | 0.000 | 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".