Biology, Management, and Protection of North American Sturgeon
Bibliographic record
Abstract
Abstract.—The Kootenai River ecosystem in Idaho, Montana and British Columbia, Canada has been altered and degraded during the past 75 years. By the mid-1960s, phosphorus concentrations increased 15-fold, and nitrogen doubled from baseline conditions in the Kootenai River due to municipal and industrial development. Pollution abatement beginning in the late 1960s, and subsequent impoundment of the Kootenai River (Libby Dam 1972) reversed this culturally eutrophic condition. By the mid-1990s the Kootenai River was classified as ultraoligotrophic, as it remains today. Reverberating trophic responses to cultural denutrification were temporally correlated with the collapse of the functional Kootenai River ecosystem and its endemic white sturgeon Acipenser transmontanus population. Natural recruitment of white sturgeon in the Kootenai River has been virtually absent during the past 30 years, with several exceptions. In response to consistent natural recruitment failure, the Kootenai River white sturgeon population was listed as endangered on September 6, 1994, under the U.S. Endangered Species Act. Depressed biological productivity, alteration of spawning and rearing habitats, fish species abundance changes, altered predator–prey dynamics, and consistent white sturgeon recruitment failure constituted biological (ecological) responses to Kootenai River Basin development. We propose an integrated hypothesis to explain natural recruitment failure in the Kootenai River white sturgeon population. This hypothesis suggests that, during some years, natural recruitment failure may have been caused by female stock limitation. In other years (those lacking female stock-limitation), we propose that recruitment failure was due to one or more postspawning early life mortality factors.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".