Ecology and management of the lobster mushroom in an eastern Canadian jack pine stand
Bibliographic record
Abstract
The lobster mushroom, an organism resulting from the infection of Russula spp. by Hypomyces lactifluorum (Schwein.) Tul. & C. Tul., is common to Canadian boreal forests and has good commercial potential. Within a Pinus banksiana Lamb. stand managed for mushroom production, this study aimed to (1) document carpophore productivity (density, biomass per area) during three seasons, (2) compare productivity among three forest conditions (trails, forest strips between trails, and unmanaged forest), (3) establish ecological parameters related to productivity, and (4) define microhabitats where carpophores are present by using soil and vegetation descriptors. Mushroom density tended to be higher on the trails than under the canopy, but fresh biomass was higher in forest strips except in 2006 when midsummer precipitation was low. Trail management did not increase mushroom production but maintained it during periods of reduced precipitation. Productivity was positively related to the abundance of shade-intolerant plant species and to extractable ammonium, and negatively related to soil pH. Within the present study conditions, microhabitats suitable for the presence of carpophores had low pH, high available phosphorus, low Kalmia angustifolia L. cover, and small canopy gaps with shade-intolerant species. This study was the first step toward understanding the ecology and impacts of forest practices on the lobster mushroom.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".