Population viability analysis of the endangered copper redhorse Moxostoma hubbsi
Bibliographic record
Abstract
Studying population dynamics of freshwater fishes facing extinction is becoming increasingly important to better understand how to protect them in our fast-changing environment. In this study, our objective was to better understand copper redhorse Moxostoma hubbsi (an endangered fish species only found in Quebec, Canada) population dynamics and the effect of stocking to quantify its risk of extinction. We used stochastic population dynamics models based on current survival and reproduction knowledge of copper redhorse. Although our models suggested that extinction probabilities were low, they show that the population is sensitive to random variability and that it is highly likely for copper redhorse population abundance to become low (<250 individuals), making them vulnerable to genetic impoverishment. Also, the low survival of the younger age-classes made them of greater concern for conservation. Our model shows larvae and fry stocked in the Richelieu River contribute to maintaining the copper redhorse population; however, it also emphasizes the importance of diversifying the current program by stocking 1 yr old individuals to increase population size and help prevent extinction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".