Successional Dynamics in Seagrass Communities
Bibliographic record
Abstract
The sequence of ecological changes in which one species is replaced by another is known as succession. Den Hartog (1971) was the first to propose successional schemes for seagrass communities based on competition-colonization hierarchies, which have rarely been challenged. Wave-disturbed subtidal systems are characterized by the presence of gaps, the distinct topographic depressions devoid of vegetation defined. We present a study of a Caribbean seagrass bed exemplifying macroalgal-seagrass succession dynamics in relation to gap disturbance. We report a shift in species composition at the study site consisting of the replacement of seagrass by an extensive macroalgal cover. Succession patterns were tested in each zone by sampling macrophyte cover along transects running across gaps. Our results show that seagrass is always the first colonizer, independent of dominant cover in control plots. The reversal of competitive hierarchy described has important consequences for the understanding and management of seagrass ecosystems.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".