Changes in ectomycorrhizal communities and nutrient availability following prescribed burns in two upland pineoak forests in the New Jersey pine barrens
Bibliographic record
Abstract
Forests in the New Jersey pine barrens are frequently prescribed burned to reduce fuel loads and risk of wildfire. To acquire baseline data for effects of prescribed burns on ectomycorrhizal diversity and nutrient uptake, field studies were undertaken in two upland pineoak forests in the New Jersey pine barrens subjected to different burn regimes. Ectomycorrhizal diversity was assessed by extraction of roots from soil cores and separation according to morphological characters. Nutrient availability to plant roots was measured using root bioassays. Relative to unburned plots, plots exposed to a fire at Greenwood, where burning was more frequent, had decreased total abundance of ectomycorrhizal tips, richness of ectomycorrhizal types, and Simpson's diversity in the L and F horizons, but increased Simpson's diversity in the deeper A horizon. At Lebanon, under a less frequent burn regime, richness was lower in whole cores and in the A horizon of burned versus unburned plots. Nitrogen, phosphorus, and potassium uptake by root bioassays indicated higher field availability of nutrients to roots in burned plots than roots in unburned plots, indicating a fertilization effect of the fire. Prescribed burning primarily impacted ectomycorrhizal community structure in the L and F horizons at these sites. Changes in function of ectomycorrhizae (nutrient uptake) in response to the burns was associated with decreased ectomycorrhizal diversity.
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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 | 0.001 | 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) | 0.000 | 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".