Slow initial decomposition and fungal colonization of pine branches in a nutrient-rich lowland stream
Bibliographic record
Abstract
Mass loss, fungal colonization, and chemical changes of submerged pine (Pinus sylvestris) branches were monitored in a nutrient-rich lowland stream. Branches retrieved from the stream were analyzed for water-soluble substances to assess mass loss by leaching. Concentrations of substances soluble in hot 1% NaOH were determined in order to detect changes in wood-tissue structure indicating microbial degradative activity, and fungal colonization was estimated as ergosterol concentration. Decomposition of the pine branches was slow, with a mean mass loss of 8.3% within 13 months and an overall decay coefficient, k, of 0.074·year1. Concentrations of water-soluble substances in wood decreased from 2.8% to 1.7% after 5 weeks and in bark from 5.6% to 3.8% within 2 weeks. No further losses were noted, nor were significant changes observed in concentrations of substances soluble in hot dilute NaOH. Fungal biomass in bark increased within the first 5 weeks (1469 µg ergosterol·g1dry mass) but was invariably low in wood. These results indicate that decomposition of intact fully corticated pine branchwood in streams proceeds very slowly, with little fungal colonization and no notable changes in wood structure occurring after more than a year even when dissolved nutrients in stream water are readily available.
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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 | 0.000 | 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".