Functional diversity enhances, but exploitative traits reduce tree mixture effects on microbial biomass
Bibliographic record
Abstract
Abstract Soil micro‐organisms play key roles in terrestrial biodiversity and ecosystem functions. Despite recent progress in elucidating the association between plant diversity and soil micro‐organisms, it remains unclear whether the functional properties of plant mixtures might alter this association. We examined whether the effects of tree species mixtures on soil microbial biomass were impacted by the functional diversity (FD) and community‐weighted mean (CWM) of tree mixtures, by conducting a global meta‐analysis involving 123 paired observations of tree mixtures and the corresponding monocultures from 38 studies in forests. We found that the tree mixture effect on microbial biomass increased with the FD of specific leaf area (SLA) and leaf N and P contents, as well as the FD based on all of these traits plus leaf dry matter content. Meanwhile, the responses of microbial biomass to tree mixtures decreased with the CWM of SLA and leaf N and P contents. The effects of FD and CWM remained consistent, despite variable tree species richness, stand age and climatic factors. Our results provide a new insight that the functional properties of plants may alter the magnitude of the association between plant diversity and soil micro‐organisms. A free Plain Language Summary can be found within the Supporting Information of this article.
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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 | 0.001 | 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) | 0.008 | 0.007 |
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; both teacher heads agree on what is shown here.
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".