On the annular growth pattern in <i>Scirpus maritimus</i> in an intertidal wetland: extension of the concept of cyclic development to within-clone spatial dynamics
Bibliographic record
Abstract
In a seminal work on community organization and succession, A.S. Watt presented evidence to show that some plant communities are in dynamic but cyclical equilibrium with their environment. Watt held that the resultant vegetation may have a patchy structure made up of different developmental phases ranging from "youngest" to "oldest" (termed "juvenile", "mature", "senile", and "slack"). At any given location, the vegetation repeatedly cycles through these phases over time. We extend Watt's concept of cyclic succession and phasic development to the study of within-clone spatial dynamics in Scirpus maritimus L. (Cyperaceae) colonizing an early succesional brackish-water environment. Specifically, we hypothesized that shoot populations of S. maritimus could be categorized into distinctive phases based on stem density and height and that differences in the developmental stage may be driven by a combination of biotic and abiotic controls. Data indeed show the existence of a strong annular banding pattern for stem density and height. The clone centres were characterized by a slack phase surrounded by bands of senile, mature, and juvenile phases. Clone boundaries were highly truncated, typical of a phalanx growth strategy. Further analysis revealed that the chemical and physical environment varies between phases within clones, which may drive within-clone stem dynamics. We conclude with a model of phasic clonal growth for S. maritimus that posits the effects of demographic density-dependence and physico-chemical environmental control on annular growth and within-clone spatial dynamics.Key words: clonal development, wetlands, cyclic succession, population demography, Scirpus maritimus, Watt.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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 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".