Improving monitoring by understanding the patterns and drivers of biodiversity on Canada’s Glass Sponge Reefs
Bibliographic record
Abstract
Glass sponge reefs, built by up to three species of dictyonine hexactinellid sponges, are hotspots of biodiversity that are unique to the waters of the Pacific continental shelf. Since 2012 we have surveyed the biological community on 21 sponge reefs from the Strait of Georgia to Chatham Sound, British Columbia. Here we present patterns of biodiversity found on glass sponge reefs and associations between common reef-dwelling organisms and sponge reef habitat categories: no visible reef, dead reef, mixed reef, live reef, and dense live reef. Further we share our findings regarding energy flow through the reef community and the implications for the maintenance of biodiversity in this system. We discuss how our findings inform monitoring in the new Hecate Strait and Queen Charlotte Sound Glass Sponge Reefs Marine Protected Areas and the many other conservation-based fishing closures centered on sponge reefs. Finally, we show how this research has led to the development of novel monitoring methods, namely the application of passive acoustic monitoring on the sponge reef ecosystem.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".