Mechanisms of seed mass variation along resource gradients
Bibliographic record
Abstract
The enormous variation in seed mass along gradients of soil resources has fascinated plant ecologists for decades. However, so far, this research has focused on the description of such variation, rather than its underlying mechanisms. Here we experimentally test a recent model relating such variation to two fundamental properties of plant growth: allometry of biomass growth and size-asymmetry of light competition. According to the model, mean seed mass should increase, and the variance of seed mass should show a unimodal response, to increasing soil resource availability (productivity). We test these predictions and their underlying assumptions using a combination of field observations, mesocosm experiments and greenhouse experiments focusing on Mediterranean annual plants. Our results support the predictions and assumptions of the model, and allow us to reject alternative models of seed mass variation. We conclude that growth-allometry and size-asymmetric light competition are key drivers of seed-mass variation along soil resource gradients.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".