Maternal provisioning is structured by species’ competitive neighborhoods
Bibliographic record
Abstract
Differential maternal provisioning of offspring in response to environmental conditions has been argued as ‘the missing link’ in plant life histories. Although empirical evidence suggests that maternal provisioning responses to abiotic conditions are common, there is little understanding of how differences in maternal provisioning manifest in response to competition. Frequency manipulations are commonly employed in ecological studies to assess the strength of interspecific competition, relative to intraspecific competition, and we used frequency manipulations to test how competition in two soil moisture environments affects maternal provisioning of seed mass. Specifically, for 15 pairs comprised from 25 annual plant species that occur in California, we varied the relative frequencies of conspecific to heterospecific competitors from 90% (intraspecific competition) to 10% (interspecific competition). We found that conspecific frequency affected maternal provisioning (seed mass) in 12 of the 25 species (eight significantly (p < 0.05), four marginally significantly (p < 0.07)), and that these responses included both increased (five species) and decreased (six species) seed mass, as well as one species with opposing directions of response to conspecific frequency that depended on the soil moisture environment. Conspecific frequency also affected per capita fecundity (seed number) for 17 of the 25 species (15 significantly (p < 0.05), two marginally significantly (p < 0.09)), which generally decreased seed number as conspecific frequency increased. The direction and magnitude of frequency‐dependent seed mass depended on the identity of the competitor, even among species whose fecundity was not affected by competitor identity; the latter finding reveals competitive differences among species that would otherwise appear to be competitively equivalent. Our research demonstrates how species responses to different competitive environments manifest through maternal provisioning, and that these responses alter previous estimates of environmentally‐determined maternal provisioning and reproductive output; future study is needed to understand their combined effects on population and community dynamics.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".