Data from: Harsh environmental regimes increase the functional significance of intraspecific variation in plant communities
Bibliographic record
Abstract
The relative importance of intraspecific trait variation (rITV) for functional diversity (FD) in plant communities is increasingly apparent, but the influence of abiotic factors on the balance between intraspecific and interspecific effects in contrasting environments is uncertain. We predicted that rITV would increase with environmental harshness as a result of decreasing interspecific variation (Inter_FD) and concomitant increases in between-population ITV(Intra_FD). We empirically tested this prediction in a comparison of rITV for five traits (mature plant height, SLA: specific leaf area, leaf dry matter content, and the foliar concentrations of nitrogen and phosphorus) characterizing species in Tibetan alpine meadow communities from contrasting environmental regimes(i.e. valley floor at the base of the ridge, northern- and southern-slopes at mid-elevation, and ridge top) on each of three sites (ridges). We found that across plots: i) rITV for all five traits increased with environmental harshness not only through decreasing Inter_FD but also increasing Intra_FD; ii) increases in rITV were mostly attributable to declines in soil resources, especially soil phosphorus, with lower soil P significantly associated with lower Inter_FD but higher Intra_FD for most traits; and iii) although neither Intra_FD nor Inter_FD were significantly impacted by species richness for any traits, a higher rITV for SLA was significantly associated with low species richness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".