Mountain pine beetle outbreak and ectomycorrhizal feedback: the ecology of recovery in beetle killed forests
Bibliographic record
Abstract
The expansion of mountain pine beetle (Dendroctonus ponderosae; MPB) into naïve host ecosystems has been met by gaps in two key areas of research: (A) affects on the chemistry of forest soils, and (B) impacts on the regeneration of tree seedlings. To investigate linkages between both, we paired observational field and experimental greenhouse studies. In the field study, we used a natural continuum of recent (0-3 yrs) MPB-caused tree mortality (0-84%) in naïve lodgepole pine-dominated (Pinus contorta) forests in northwestern Alberta, to quantify impacts of MPB outbreak on: (1) input rates of pine needle-derived nutrients; (2) supply rates of plant-available nutrients; (3) concentrations of soil phenols. We found positive associations between tree mortality and pine needle nutrient concentrations (of nitrogen, phosphorus, potassium, calcium, and magnesium) and inputs (of nitrogen and phosphorus). The supply rates for plant available nitrate, and concentrations of soil phenols were altered by MPB disturbance. In the greenhouse study, we tested the main effects and interactions of (1) light intensity, (2) pine needle litter addition, and (3) soil inoculation on first-year growth of seedlings of lodgepole pine and white spruce (Picea glauca). Soil inoculation had the greatest impact on accumulations of biomass, and sugar and starch reserves. Seedlings of lodgepole pine grown with inocula originating from uninfested stands had enhanced biomass accumulation relative to controls; accumulation was reduced when seedlings were inoculated with soils from MPB-infested stands. Changes in soil microbial communities may limit pine regeneration following outbreak, but field studies are needed confirm this effect.
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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 | 0.001 |
| 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 | 0.001 | 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".