Functional diversity and identity effects on forest soil carbon stocks depend on climate contexts
Bibliographic record
Abstract
Soil carbon plays an important role in mediating global climate change and securing food production. Despite rapid declines in plant diversity worldwide, uncertainties remain concerning the relationships between tree diversity and soil carbon stock in natural forests, as well as the climatic factors that drive their directions and magnitudes. Using Canada's National Forest Inventory data, we tested the relationships between soil carbon stocks to tree functional diversity and identity, and how these relationships varied with stand age and climate gradients in the organic horizon, mineral horizon and entire soil profile. We found that the effects of functional diversity on soil carbon stocks were highly climate-dependent, shifting from negative in warm or moist climates to positive or null in cold and dry climates. In addition, tree species with acquisitive traits, such as high specific leaf area, leaf nitrogen content and phosphorus content, increased mineral soil carbon stocks in warmer sites, but decreased those in colder sites. Our results suggest that tree diversity effects on soil carbon are strongly dependent on climate context and promoting high functional diversity is important to increase soil carbon stocks of colder and drier sites in boreal and temperate forests.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".