Soil Phosphorus Dynamics are an Overlooked but Dominant Control on Mineral‐Associated Organic Matter
Bibliographic record
Abstract
Understanding the controls on soil organic matter (SOM) cycling is essential for predicting how future pedoclimatic conditions will affect soil carbon (C) sequestration and emissions. However, significant uncertainty surrounds the controls on SOM formation, persistence, and destabilization, especially for the more persistent pool, mineral-associated organic matter (MAOM). Here we argue that much of this uncertainty can be resolved by incorporating soil phosphorus (P) into conceptual and empirical models of SOM persistence because: (1) P forms the strongest bonds in the MAOM pool, resulting in greater relative enrichment and persistence; (2) this P enrichment regulates the formation of organo-organic associations within MAOM; (3) bioavailable P drives the production of microbial necromass and by-products, which shape contributions to MAOM; and (4) microbial P demand stimulates the destabilization of MAOM. Under this new framework, we propose specific consequences of global change, such as changes in pH and short-term flooding, on MAOM persistence. Given soil P's outsized role in MAOM formation, a better understanding of the abiotic and biotic controls on MAOM P enables us to form more accurate predictions of MAOM persistence and destabilization under global change.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".