Does the value of newly accessible spawning habitat for walleye (<i>Stizostedion vitreum</i>) depend on its location relative to nursery habitats?
Bibliographic record
Abstract
The benefit accrued from habitat restoration actions may depend not only on the quality and quantity of habitat restored, but also on its location relative to other critical habitats. For example, walleye (Stizostedion vitreum) larvae need to be transported by river currents from spawning to nursery habitats soon after emergence. We developed a model of river transport survival for larval walleye to evaluate potential recruitment from riverine spawning habitats to lacustrine nursery areas. Published relationships were used to model transport survival as a function of temperature and velocity. At greater distances from nursery areas, mortality risk increases, particularly as a result of starvation at relatively high river temperatures. We applied the model to the Sandusky River, a tributary to western Lake Erie, and found potential larval production from spawning habitat above an existing dam to exceed the potential of presently accessible spawning areas by a factor of 8. We used a generalized version of the model to show that for transport distances of less than 100 km, transport survival is much more sensitive to variations in river flows, whereas at greater distances, temperature becomes increasingly important.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".