Laboratory Experiments on Artificial Reefs for American Lobsters
Bibliographic record
Abstract
This laboratory study investigated design features for artificial reefs to be used as enhanced juvenile lobster habitat. These features included size of brick shelters, size of rocks in rock piles, and the character of the underlying substrate. Experiments using brick shelters tested the ability of two lobster sizes (50-59 and |$82{\text{-}}89\, {\text{mm CL}}$|) to enlarge shelters by digging in sand-gravel bottom. If the gravel size was |$1{\text{-}}2\,{\text{cm}}$| both lobster sizes occupied |$\gt 90\%$| of shelters by 22 h and the difference between occupancy at 2 and 22 h was not significant. If gravel size was |$3{\text{-}}5\,{\text{cm}}$| or |$6{\text{-}}8\,{\text{cm}}$| fewer shelters were occupied and the excavation of the sand/gravel took longer. Piles of three sizes of rocks were each placed on hard bottom as well as |${\text{sand/}}1{\text{-}}2\,{\text{cm}}$| gravel bottom, and the number of lobsters occupying each rock pile noted after 2-days. Six times more |$70{\text{-}}79\, {\text{mm CL}}$| lobsters and 1.7 times more |$50{\text{-}}59\, {\text{mm CL}}$| lobsters occupied rock piles on sand/gravel than hard bottom. For all rock sizes and substrates combined, three times more small than large lobsters sheltered in rock piles. The greater sheltering by lobsters on sand/gravel bottom and by smaller lobsters was thought to be related to the size of shelters available or that could be created between the rocks and the bottom by excavating under the rocks. Nearly all lobsters in the piles were located between the rocks and the bottom rather than among the rocks. A final experiment compared occupancy of |$0.7 \,{\text{m}}$| and |$1.2 \,{\text{m}}$| diameter rock piles by |$60{\text{-}}69\, {\text{mm CL}}$| lobsters where both pile sizes were of large rocks on sand-gravel. The larger piles attracted more lobsters, but neither the |${\text{number/m}}^2$| nor number/m circumference were significantly different. In summary, the substratum beneath a rock reef should be considered part of the reef's structure. Reefs housed more lobsters if the reef was placed on substrate they could excavate. Excavating a sand-gravel mix was easier where the gravel was smaller than |$3{\text{-}}5\,{\text{cm}}$|. Because lobsters mostly occupy shelters under the reef, reefs several rocks thick would add little to shelter availability. Occupancy of rock piles was related to rock and lobster size.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".