Redox Properties of Peat Particulate Organic Matter From Five Ombrotrophic Bogs in Central Sweden
Bibliographic record
Abstract
Abstract Peat particulate organic matter (POM) is increasingly recognized as an important terminal electron acceptor (TEA) for anaerobic microbial respiration in anoxic peat soils. The goal of this work was to quantify the electron‐accepting capacity (EAC) of POM that is accessible to microbes in these soils under in situ conditions. To this end, we collected 28 reduced POM samples from the anoxic subsurface along transects in Sphagnum‐dominated ombrotrophic bogs in central Sweden. These POM samples had similar physicochemical properties and compositions within and across peatlands, as inferred from elemental analysis, infrared spectroscopy, and solid‐state 13C nuclear magnetic resonance spectroscopy. The microbially accessible EAC of these POM samples were determined by quantifying the increases in the total EACs and concomitant decreases in electron‐donating capacities when reacting the field‐collected reduced POM with dissolved oxygen (DO). These analyses suggested that between 90 and 390 μmol electrons per gram of POM carbon are microbially transferrable to POM. The reaction of POM with DO was found to also result in equimolar conversion of electron‐donating to electron‐accepting moieties in POM, demonstrating fully reversible electron transfer to and from POM and, therefore, that POM is a sustainable TEA in temporarily anoxic peat soils. A comparison of the microbially accessible EAC of POM to that of pore‐water inorganic TEA species and reported EACs and measured concentrations of peat‐dissolved organic matter revealed that POM is the major TEA in the studied bogs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".