Molecular insights into the warming-induced alterations of water-extractable organic matter (WEOM) in soil: Depth-dependent responses in Arctic terrestrial ecosystem
Bibliographic record
Abstract
Arctic warming is accelerating at a rate approximately four times faster than the global average, exerting profound effects on soil organic matter and microbial activity, particularly in permafrost regions rich in soil carbon stocks. This study investigates the molecular composition of water-extractable organic matter (WEOM) in response to a 7-year period of warming via open-top chambers across different soil layers in a dry Arctic tundra ecosystem. We focused on elucidating the depth-dependent responses of WEOM to warming, emphasizing compositional shifts and proportional changes in WEOM constituents using ultra-high-resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Our results indicate that the organic layer exhibited minimal changes in soil properties and WEOM composition in response to warming. In contrast, the mineral layer demonstrated significant alterations with warming, including increased total dissolved nitrogen content, enhanced biological activity, and shifts in WEOM molecular composition. Particularly, the warming treatment led to an increase in the abundance of highly unsaturated and phenolic compounds (HUP) and peptide-like compounds in the mineral layer, reflecting enhanced microbial utilization of WEOM. This study underscores the critical importance of considering soil depth and layer when assessing the ecological impacts of climate warming, particularly in Arctic regions where microbial activities remain limited. These results suggest that warming-induced changes in the mineral layer may reflect stimulation of microbial communities by belowground processes, such as rhizosphere expansion or organic input from upper soil horizons, although these mechanisms remain to be directly confirmed. These results provide valuable insights into the mechanisms driving WEOM transformations under warming conditions, contributing to a more comprehensive understanding and prediction of biogeochemical processes occurring in a warming Arctic.
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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 | 0.000 | 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 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".