Shared mycorrhizal networks of forest herbs: Does the presence of conspecific and heterospecific adult plants affect seedling growth and nutrient acquisition?
Bibliographic record
Abstract
Arbuscular mycorrhizal fungi can colonize the roots of a large number of plant species and individuals, simultaneously creating a network of hyphae connecting the roots of many plants. In this study, I examined the effect of the mycorrhizal network produced by conspecific and heterospecific adult plants on growth and nutrient content of seedlings of Arisaema triphyllum (L.) Schott. and Maianthemum racemosum (L.) Link ssp. racemosum. Seedlings of both plant species were planted so that they could become colonized by the mycorrhizal network or remain uncolonized, and were planted in the presence of a conspecific or heterospecific adult plant. After 2 years of growth, seedlings were harvested and biomass and nutrient content were determined. Biomass of A. triphyllum seedlings was not affected by the identity of the adult plant or colonization by mycorrhizal fungi. Biomass of M. racemosum seedlings was significantly affected by adult plant identity and mycorrhizal colonization. Maianthemum racemosum seedlings grown near a conspecific adult were significantly larger than when grown near a heterospecific adult, and mycorrhizal M. racemosum seedlings grown near a heterospecific adult had significantly less biomass than nonmycorrhizal seedlings. This suggests that the mycorrhizal network of some plants may confer positive or negative effects on mycorrhizal seedlings as compared to nonmycorrhizal seedlings.
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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) | 0.000 | 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".