Dynamics of mineral nitrogen released from feathermosses after dehydration or handling stress
Why this work is in the frame
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Bibliographic record
Abstract
The capacity of feathermosses to release mineral N to water and eventually re-capture it back from the solution was periodically measured in several 64-hour tests. Mosses were collected from 13 locations in western Alberta, Canada, and given several pre-treatments in the days leading up to the submersion of mosses in aerated distilled water. In a factorial experiment, the pre-extraction conditions were fertilized or left as controls and kept moist or allowed to dehydrate. The concentration of mineral N in the solution was monitored by withdrawing small samples of the solution for colorimetric analysis at pre-determined time intervals. To assess the effects of microflora and handling damage to the moss tissues on the rate of N exchange between moss and solutions, the test was repeated firstly using a solution of antibiotics instead of water and secondly using mosses that were not given time to recover from handling. No perceptible leakage of N was recorded from fully hydrated moss tissues. Dehydrated mosses lost as much as 8% of their total N content to the solution within two hours after re-hydration, but had recovered two thirds of it within the next 16 hours. Moss tested immediately after normal handling released 0.7% of their total N and recovered it at the same rate as the desiccation-damaged mosses. Application of antibiotics affected neither leakage nor re-absorption rate. During the gradual drying of moss, N apparently shifted from NO3− to NH4 . The strong ability of mosses to quickly re-absorb released N from surrounding solutions suggests that leakage of N from dried moss after rewetting, as a source of N to the ecosystem, is not as large as suggested by previous literature.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 it