Spatial Heterogeneity in Methane Biogeochemistry and Prokaryotic Community Structure in Sub‐Arctic Waterbodies in Northern Canada
Bibliographic record
Abstract
ABSTRACT Arctic warming is leading to permafrost thawing which modifies, in cascade, hydrosystems at diverse levels. This study aimed to compare prokaryotic community structure and methane (CH 4 ) dynamics across 16 sub‐Arctic waterbodies, and to assess how these features are shaped by permafrost thaw. The sampled waterbodies, located in an ice‐rich discontinuous permafrost region (Southwestern Yukon, Canada) differed in size, depth, stratification and degree of thaw influence. Prokaryotic communities were characterised through 16S rRNA gene sequencing and qPCR targeting mcrA (methanogenesis) and pmoA (methanotrophy) genes. Community structures differed significantly between shallow stratified, deep stratified and non‐stratified waterbodies. Methanogens, predominantly represented by the Methanobacterium genus, were mostly detected in shallow non‐stratified waterbodies. Methanotrophs, primarily represented by the Methylacidiphilaceae family, were more abundant in oxic layers whereas bacteria of Crenothrix and Methylobacter genera dominated in anoxic conditions. Our results showed that non‐stratified waterbodies directly affected by permafrost thaw harboured distinct prokaryotic communities, including specific methanogens and methanotrophs. The two sites with the highest CH 4 emissions were affected by permafrost thaw, with fluxes reaching up to 1.7 × 10 −1 mg m −2 s −1 . Future investigations should address gaps in CH 4 ‐related processes in thaw‐affected systems, as they are hotspots for methane emissions and harbour different microbial communities.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".