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 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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".