Interactions between the fungal symbiont of <i>Sirex noctilio</i> (Hymenoptera: Siricidae) and two bark beetle-vectored fungi
Bibliographic record
Abstract
Abstract The woodwasp Sirex noctilio F. is invading North American forests, where it will interact with a large guild of pine-inhabiting beetles and their associated fungi. The woodwasp's obligate fungal symbiont, Amylostereum areolatum (Fries) Boidin (Stereaceae), plays an essential role in the wasp's larval development but is expected to be a poor competitor in the presence of fungi vectored by co-occurring insects. We examined the outcomes of competitive interactions between A. areolatum and two fungal species vectored by bark beetles, Leptographium wingfieldii Morelet (Ophiostomataceae) and Ophiostoma minus (Hedgcock) H. and P. Sydow (Ophiostomataceae), and the effect of temperature and substrate on these interactions. Beetle-associated fungi were usually able to capture more uncolonized resource than A. areolatum regardless of substrate or temperature. Amylostereum areolatum was able to colonize relatively more space in some cases but could not gain substrate already colonized by the ophiostomatoid competitor. These findings suggest that competitive interactions between beetle-vectored fungal species and A. areolatum could influence the reproductive fitness and distribution of S. noctilio within individual trees and also across a wide geographic area.
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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) | 0.001 | 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".