Life cycles and biomass allocation in seed- and ramet-derived plants of <i>Cryptotaenia</i> <i>canadensis</i> (Apiaceae), a monocarpic species of eastern North America
Bibliographic record
Abstract
Life cycles, survivorship, and biomass allocation for seed- and ramet-derived plants of Cryptotaenia canadensis (L.) DC. were studied to determine if variation existed between plant derivations, and how these attributes contribute to persistence of the species within a temperate forest habitat. Seed-derived plants behaved as biennials, reproducing both sexually and asexually in the second growing season. Ramet-derived plants reproduced sexually and asexually annually. Annual survivorship was greater for seed-derived juveniles; however, fewer seed-derived plants flowered than did ramet-derived plants. Biomass allocation for plants harvested at four growth stages over two complete life cycles was significantly different between plant derivations during vegetative growth stages. During reproductive growth stages, biomass allocation did not differ between ramet- and seed-derived plants harvested in the same year. Regressions showed a strong correlation between sexual reproductive mass and vegetative mass for both plant derivations, with no significant difference between slopes or intercepts. Ramet mass was less dependent on plant size, and differences between slopes and intercepts were not significant. Regressions of sexual versus asexual reproductive mass varied with year and cohort. Equivalent reproductive output in conjunction with temporal differences in life cycle phenologies between plant derivations optimize this species' ability to persist in its natural habitat.Key words: allometry, Apiaceae, biomass allocation, Cryptotaenia canadensis, monocarpic.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".