Diversity of invertebrate colonists on simple and complex substrates at hydrothermal vents on the Juan de Fuca Ridge
Bibliographic record
Abstract
This study examines the role of complex physical substrate structure on the colonization of hydrothermal vent invertebrates to test the hypothesis that the diversity of colonizing species can be enhanced by the provision of complex physical structure.Colonization was studied over 1 yr intervals between 2001 and 2003 at 2 diffuse venting sites near Axial Volcano, on the Juan de Fuca Ridge (depth 1500 m), on 2 types of artificial substrates with the same planar area but different levels of structural complexity: a complex structure with interstitial spaces (sponge) and a mimic of the seafloor (basalt).Colonist assemblages were compared between substrate types using univariate and multivariate measures of community composition.While the most abundant taxa on both substrate types were gastropods and polychaetes, colonist assemblages were significantly dissimilar between substrate types, due to the greater relative abundances of polychaete and meiofaunal species colonizing sponges.Overall, the faunal assemblages colonizing sponge substrates had higher species richness, diversity and evenness than assemblages colonizing the basalts.Our results suggest that complex physical substrate structure can facilitate the colonization of a diverse faunal assemblage at diffuse hydrothermal vents on the Juan de Fuca Ridge.
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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 | 0.000 |
| 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".