Light mediates the relationship between community diversity and trait plasticity in functionally and phylogenetically diverse tree mixtures
Bibliographic record
Abstract
Abstract Trait values affect how plants function, with consequences that propagate through scales of ecological organization to affect ecosystem function. However, the pathway connecting trait expression to ecosystem function is complicated by feedbacks: trait expression may vary within species in response to community diversity, and trait expression also determines a community's functional diversity. The predictability and consequences of interactions between trait expression and community diversity are poorly understood, particularly in forest ecosystems. Here we quantify the extent to which light access—which past studies suggest affects trait expression and differs as a result of interactions among plants—differs consistently with community diversity and explains intraspecific trait variation in trees. In a common garden, trees of five angiosperm and seven gymnosperm species were planted to form 37 communities ranging widely in species and functional diversity whereby confounding environmental variation was minimized. We sampled leaves of each species to characterize intraspecific variation within and among communities in three traits—leaf size, specific leaf area and nitrogen concentration—and estimated each leaf's access to light. We found that light access explained a substantial portion of trait variation within all species, species tended to receive less light in more diverse communities and effects of community diversity on trait expression tended to be mediated by light. Synthesis . This study shows that community diversity affects leaf trait plasticity in young trees through its effects on light availability. Moreover, trait responses across angiosperms and gymnosperms were remarkably similar, showing that shared biophysical constraints overwhelm divergent evolutionary histories. Together, these results illustrate how leaf trait expression responds to, and may subsequently shape, diversity in young tree communities in largely predictable ways via resource‐based interactions, with consequences that may scale from individuals to ecosystems.
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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 | 0.001 |
| 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) | 0.000 | 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 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".