Shallow-water Benthic Foraminifera of the Galápagos Archipelago: Ecologically Sensitive Carbonate Producers in an Atypical Tropical Oceanographic Setting
Bibliographic record
Abstract
Coral reefs are currently exposed to a number of anthropogenic pressures worldwide. With ocean warming and acidification expected to continue in the near future, it is important to study coral environments within natural oceanographic gradients, particularly with respect to their effects on environmental indicator species. Benthic foraminifera are sensitive to environmental change, making them ideal indicators of reef water quality and health. Hence, we studied benthic foraminifera from samples collected throughout the Galápagos Archipelago, an equatorial island chain strongly influenced by the El Niño–Southern Oscillation (ENSO) and deep water upwelling—resulting in an atypical natural temperature, nutrient, and pH transition zone throughout the tropical latitudes of the archipelago. While foraminiferal abundances averaged 0.7% of all sand-sized carbonate grains, assemblages were characterized by a total of 161 species in 72 genera. The northern archipelago was dominated by Miliolida and contained the highest percentages of symbiont-bearing taxa in the Galápagos. However, the archipelago as a whole strongly favored heterotrophic Rotaliida, particularly throughout the southern islands, which are directly impacted by high nutrient and low pH upwelling from the Equatorial Undercurrent (EUC). While the Eastern Tropical Pacific does not show the diversity of its western counterpart, Galápagos foraminiferal assemblages revealed a relatively high foraminiferal diversity for the region as well as evidence in support of earlier reports of high endemism within the archipelago.
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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 | 0.001 | 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".