Forest development induces soil aggregate formation and stabilization: Implications for sequestration of soil carbon and nitrogen
Why this work is in the frame
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Bibliographic record
Abstract
Soil aggregates contribute to the accumulation of soil organic carbon and nitrogen, which is critical for the maintenance of multiple forest ecosystem services. However, little is known regarding the direction and magnitude of changes in soil aggregates as forests develop, along with their consequences for carbon and nitrogen sequestration. For this study, we investigated the formation of soil aggregates and their influences on soil organic carbon and total nitrogen stocks in a 6–45 y chronosequence (6, 15, 20, 25, 30, 35, 41, and 45 y) of Metasequoia glyptostroboides plantations. We found that mean weight diameter and geometric mean diameter, as well as the proportion of soil macroaggregates (Ø > 0.25 mm) increased with stand age, suggesting increases in the stability of soil aggregates as forest develops. Furthermore, stand development induced an accumulation of soil aggregate-associated organic carbon and total nitrogen. Plant fine root biomass, soil exchangeable Ca 2+ and Mg 2+ , and soil amorphous Fe-oxides also increased with stand age, which helped to explain the size distribution and stability of soil aggregates. Our results demonstrate that stand development provides robust aggregate protection for soil organic carbon and nitrogen, which better elucidates how both abiotic and biotic binders affect soil aggregate stability. These findings will guide the establishment and management of tree plantations, thereby contributing to developing a stable soil carbon pool and mitigating global climate change.
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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 it