Predicting the effects of exploitation on male‐first sex‐changing fish
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Sex change is widespread among tropical marine fishes, many of which are targeted by fisheries. Conservation concerns have been raised that sex‐changing species may be particularly prone to overexploitation by size‐selective fishing. In the case of male‐first sex‐changers, populations may become egg limited if large females are disproportionately killed. However, if males reduce the size at which they change sex in response to higher female mortality, the population may still be sufficiently productive. We develop an age‐based model to explore the effects of fishing on two types of male‐first sex‐changing fish: one with flexibility in size‐at‐sex‐change and one without. These effects were compared with those of non‐sex‐changing populations with similar life‐history and population characteristics. The model predicts that if male‐first sex‐changers cannot respond to elevated female mortality by adjusting their size‐at‐sex‐change, the population will be more prone to recruitment limitation and extinction than non‐sex‐changers. These effects will be amplified as smaller individuals become susceptible to fishing mortality. However, if size‐at‐sex‐change is flexible, sex‐changers may be as resilient to fishing as non‐sex‐changers. Knowledge of a species' size‐at‐sex‐change, and the mechanisms controlling it, should be fundamental to the selection of fisheries conservation strategies.
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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 | 0.000 |
| 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) | 0.000 | 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 it