Ectomycorrhizal fungi of whitebark pine (a tree in peril) revealed by sporocarps and molecular analysis of mycorrhizae from treeline forests in the Greater Yellowstone Ecosystem
Bibliographic record
Abstract
Whitebark pine ( Pinus albicaulis Engelm.) is unique as the only stone pine in North America. This species has declined 40%–90% throughout its range owing to blister rust infection, mountain pine beetle, fire suppression, and global climate change. However, intact mature and old growth forests still exist in the Greater Yellowstone Ecosystem (GYE) at high timberline elevations. This study addresses the urgent need to discover the ectomycorrhizal (ECM) fungi critical to this tree species before forests are further reduced. A study of mature whitebark pine forests across five mountain ranges in the Northern GYE confirmed 32 ECM species of fungi with the pine by sporocarp occurrence in pure stands or by identification of mycorrhizae with ITS-matching. Boletales and Cortinariales ( Cortinarius ) comprise 50% of the species diversity discovered. In Boletales, Suillus subalpinus M.M. Moser (with stone pines), Suillus sibericus Singer (stone pines), Rhizopogon evadens A.H. Sm. (five-needle pines), Rhizopogon spp. (pines) and a semi-secotioid Chroogomphus sp. (pines) are restricted to the hosts listed and are not likely to occur with other high elevation conifers in the GYE. The ascomycete generalist, Cenococcum geophilum Fr., was the most frequent (64%) and abundant (51%) ECM fungus on seedling roots, as previously reported for high elevation spruce-fir and lower elevation lodgepole pine forests in the GYE. The relative importance of the basidiomycete specialists and the ascomycete generalist to whitebark pine (and for seedling establishment) is not known, however this study is the first step in delineating the ECM fungi associated with this pine in peril.
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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) | 0.000 | 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".