Trade-off between soil organic carbon sequestration and plant nutrient uptake in arbuscular mycorrhizal symbiosis
Bibliographic record
Abstract
Arbuscular mycorrhizal fungi (AMF) play a pivotal role in soil organic carbon (C) dynamics. AMF can channel C obtained from plants into the soil as labile and recalcitrant materials with contrasting impacts on soil organic carbon (SOC) reserves. Labile C supply, while increasing microbial biomass, can also elevate microbial respiration, leading to enhanced organic matter turnover. Conversely, the production of recalcitrant materials, including biomass and glomalin-related soil protein (GRSP) can promote SOC sequestration directly by acting as long-term C storage, strengthening soil aggregates, and promoting the formation of mineral-bound organic carbon. The contrasting impacts of AMF products on SOC often generate controversies regarding the role of AMF communities in C capture, especially under rising atmospheric CO2 concentrations. Emerging evidence suggests that distinct AMF phylogeny exhibit varying soil organic matter mobilization and symbiotic nutrient exchange abilities owing to their divergent life histories. However, we argue that resource use efficiency among AMF species significantly influences the phenotypic outcome of AM symbiosis, as well as their impacts on soil carbon dynamics. AMF functional traits favoring recalcitrant C substances including glomalin-related proteins and mineral-associated organic matter over labile C may positively impact SOC sequestration in the long-term. Whereas an AMF functional guild promoting plant growth through labile C (i.e., sugars) exudation may increase SOC turnover leading to lead to SOC loss. Although strong mutualist AMF may negatively impact SOC stocks, they can compensate for this trade-off by depositing fresh, newly fixed C and promoting plant photosynthesis. The ways in which this trade-off is offset can vary among different AMF species and community compositions, warranting further investigation.
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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) | 0.001 | 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 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".