Dynamics of nitrogen associated to acid insoluble substances derived from plant litter
Bibliographic record
Abstract
A study was conducted on three 15N-labeled litter types (i.e., straw, stripe maple, and American beech) to determine the effects of three years incubation and NH4 +-N amendments [10% of total nitrogen (N)] on acid insoluble substances (AIS), and on the N content of AIS (i.e., AIS-N). Based on C:N ratios, all litter types lost considerable mass after three years incubation, however, AIS concentrations increased in only two of the litter types. This suggests that AIS of different litter types decomposed at different rates. The NH4 +-N amendments followed by a 21-day conditioning period did not affect AIS concentrations. The AIS-N concentration of fresh litters were much higher than expected suggesting much more diverse substrates than lignin only. Three years incubation significantly increased AIS-N concentrations of all litter types, probably the result of recalcitrant microbial by-products that accumulated during decomposition. The NH4 +-N amendments significantly increased AIS-N concentrations of both incubated and non-incubated litters after 21 days conditioning, and these increases corresponded to 20%–69% of added NH4 +-N. Analyses of changes in AIS-15N pools revealed, however, that only a small portion of the added NH4 +-N was actually transferred to the AIS-N pool. Therefore, the increase in the AIS-N pool due to the addition of NH4 +-N solution was the result of pool substitution or displacement reactions between the added NH4 +-N and other non-AIS N pools. We conclude that AIS-N pools can be subdivided into classes of compounds according to origin and stability.
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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 | 0.001 | 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".