Spatial and temporal patterns of colonization by deep-sea hydrothermal vent invertebrates on the Juan de Fuca Ridge, NE Pacific
Bibliographic record
Abstract
This study quantifies patterns in settlement and colonization of hydrothermal vent invertebrates and explores relationships with the biotic and abiotic factors that may influence these patterns. Colonization was measured between 2001 and 2003 in 2 segments of the Juan de Fuca Ridge, by deploying sets of basalt blocks at vents with different flow characteristics, over different spatial (cm to 100 km) and temporal (1 to 2 yr) scales. Spatial variation in colonization was greater between vents within a segment (m to km scale) than between segments, which we suggest reflects a species-specific response to varying environmental conditions at a particular vent. For gastropods, gregarious settlement enhanced colonization, while post-settlement mortality influenced colonization patterns of polychaetes. In 2003, we characterized the spatial variability in environmental conditions among 3 vent sites, through discrete in situ measures of the temperature and chemical properties of venting fluid near basalt blocks. Most colonist and settler abundances were positively correlated with vent fluid properties, notably dissolved H 2 S and temperature. Our results suggest that the variation in settlement and colonization of hydrothermal vent species is mainly influenced by the properties of the vent fluid, but biological interactions can also have a significant influence on colonization processes. Our study is the first to experimentally quantify colonization by invertebrates at Juan de Fuca Ridge vent sites, and extends the understanding of the role of physical and biological factors in the regulation of early life-history stages.
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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 | 0.000 | 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".