In Vitro Decomposition of Sphagnum-derived Acrotelm and Mesotelm Peat by Indigenous and Alien Basidiomycetous Fungi
Why this work is in the frame
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Bibliographic record
Abstract
Northern peatlands have accumulated significant quantities of peat, and it has been predicted that rates of peat decomposition may increase due to climate warming. In peatlands, organic matter decomposition in the acrotelm is accomplished primarily by fungi that act differentially through time on various peat constituents. After four months of decomposition in vitro, I show a distinct microbiological limitation to the decomposition of Sphagnum-derived peat (mean mass losses of 1.1–7.1 %) by indigenous and alien basidiomycetous fungi of both acrotelm and mesotelm peat (the mesotelm is the lower part of the acrotelm sensu lato, in which conditions fluctuate between oxic and anoxic). Neither acrotelm nor mesotelm Sphagnum peat can be degraded effectively by many fungi (mean mass losses of 2.7 % and 4.3 % for acrotelm and mesotelm peat, respectively), including the ubiquitous wood decomposing basidiomycetes known to decompose some of nature’s most complex polymers. Peatland basidiomycetes caused significantly greater mass losses of acrotelm and mesotelm peat than wood decay basidiomycetes (mean mass losses of 5.7 % and 1.4 %, respectively). Brown rot fungi caused significantly greater mass losses to acrotelm and mesotelm peat than white rot fungi and non-wood-decay fungi (mean mass losses of 10.1 %, 1.7 %, and 2.3 %, respectively). Rates of peat decomposition may not increase to the extent previously predicted, and peatlands may not necessarily be long-term sources of CO2 in response to a warming climate.
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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) | 0.000 | 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 it