Modeling the Effect of Environmental Parameters on Feeding Ecology of the Shortnose Sturgeon in the Saint John River, New Brunswick
Bibliographic record
Abstract
Abstract We examined the effects of spatial, temporal, and environmental parameters on the feeding habits of the shortnose sturgeon Acipenser brevirostrum. We sampled sturgeon gut contents using colonic flushing, a new, low‐impact technique. We found that heavy feeding continued until at least November, when water temperature reached 8°C. In all seasons, foraging shortnose sturgeon used shallow water (2–8 m); however, in late fall this trend was even stronger, when 50% of the sturgeon were captured in less than 3 m depth. Over 60 families of prey items were identified from 166 colonic samples collected at four points between spring and late fall from seven locations throughout the lower Saint John River, New Brunswick. Samples from freshwater sites contained mainly Gastropoda, Sphaeriidae, Chironomidae, and Gammaridae. Samples from saline and brackish environments contained mostly Gammaridae, Corophiidae, softshell clam Mya arenaria, Cyathura polita, and Chironomidae. We used sensitivity analysis to determine the number of shortnose sturgeon required to obtain a representative sample of the diet. We found that 20–40 gut samples from sturgeons in both brackish and freshwater environments would suffice for a general description of the diet but that complete knowledge of the sturgeon diet and a comparison among several sites would require the sampling of hundreds of fish. The digestibility of prey varied from 77% of the ingested volume in a saline environment to only 6% in freshwater samples. Shortnose sturgeon from freshwater sites had higher ingested volumes and more prey per ingested volume than did those from brackish sites, which indicated further differences in feeding efficiency between the environments. Salinity was a significant parameter in the redundancy analysis of ingested prey items. In freshwater sites the significant factors were season, sturgeon length, ingested volume, number of ingested prey, and number of ingested taxa. In saline sites the significant factors were season, location, ingested volume, and the number of ingested prey. Our findings identified the spatial and temporal gradients in shortnose sturgeon foraging and provided insight into foraging efficiency in this species.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".