Physical forces influence the trophic structure of reef fish communities on a remote atoll
Bibliographic record
Abstract
We describe spatial patterns in fish abundance across the lagoonal patch reef system at Glover's Reef Atoll in Belize, and assess the relative influence of physical, biological, and abiotic structural variables on these patterns. Physical factors—specifically, distance from reef channels, current flow, and temperature—play a significant role in structuring overall patterns in fish abundance across the lagoon. The types of variables that best explained trends in abundance of specific groups of fishes were related to feeding habits of these groups. For example, fishes dependent on primary and secondary sources of productivity (herbivores and planktivores) were most highly influenced by physical factors. Abundances of benthophagous fishes were best predicted by benthic habitat variables such as coral cover, while abundance of piscivorous fish groups was best predicted by abiotic structural habitat variables such as reef area. While data on physical oceanographic properties are not normally considered in relation to abundance patterns of reef fishes, we find that such factors are good predictors of abundance for these species. Where physical data are not available, simple distance metrics may serve as reasonable proxies for physical oceanographic processes.
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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 | 0.001 |
| 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 | 0.001 |
| 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".