High densities of hatchery‐origin white sturgeon suppress somatic growth rates of an endangered wild population
Bibliographic record
Abstract
Success in conserving or recovering endangered species requires a detailed understanding of vital rates that control population trends. Sturgeons (Acipenseridae) are the most imperiled taxon globally, with ongoing population declines despite significant conservation and restoration efforts in recent decades. Here, a long-term dataset is analyzed to describe growth rates of endangered white sturgeon (Acipenser transmontanus) in the transboundary section of the upper Columbia River over a 32-year period where conservation aquaculture was initiated in year 12 to prevent extirpation. The extent of spatial (Canada and United States), temporal (1990-2021), and seasonal variation (summer and winter) in growth dynamics was modeled to understand the potential impact of increased competition due to stocking on somatic growth of wild-origin fish. von Bertalanffy growth models were fit to observations of growth in length and mass from recaptures of tagged fish. Overall, growth rates of wild- and hatchery-origin white sturgeon were similar, with growth in length higher in summer than in winter, especially in the United States. Growth in mass was similar in winter and summer for wild- and hatchery-origin fish weighing less than ~30 kg, but growth was considerably higher in winter than summer for heavier fish. Examination of temporal random effects showed an abrupt decrease in growth partway through the time series. To evaluate the magnitude and uncertainty of the change, we fit a Bayesian changepoint model and found evidence for suppressed growth in length and mass of wild fish in years following the peak in densities of hatchery-origin sturgeon released from conservation aquaculture. Results provide an understanding of how an endangered species responds to a conservation action commonly applied for imperiled fish species worldwide and may provide insight into other important population dynamics (e.g., reproductive metrics) that are critical for recovery.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".