Epibenthic megafauna associated with sponge grounds formed by the unique glass sponge Vazella pourtalesii in Emerald Basin, Nova Scotia, Canada
Bibliographic record
Abstract
Large, dense aggregations of sponges or “sponge grounds” have seen a surge of scientific interest in recent years. The pivotal ecological functions of sponges may warrant conservation measures that have been neglected in the past. The slow growth and low recovery potential of some deep-sea sponges, combined with their fragile morphologies, contributes to vulnerability to mobile fishing gear, particularly bottom trawling. The largest monospecific aggregation of Vazella pourtalesii, the Russian hat, was recently described off the Scotian Shelf between 75-275 m depth, extending over 8,500 km2 . Here I describe and compare the epibenthic megafauna inside and outside sponge grounds, and, if the condition (live, dead and damaged) of Vazella pourtalesii has an effect on the local biota and its composition. Building on previous work, I also account for the effect of substrate to see if Vazella pourtalesii enhances local biota, as previous work has shown. The results suggested that Vazella pourtalesii had a positive influence on local epibenthic megafauna, as well as the community compositions; however, more data is needed to provide a complete answer. This research will aid managers in the future, by helping to untangle the intricacies of this interesting habitat so as to avoid further significant adverse impacts.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".