Habitat loss, fragmentation, and the genetic status of Roanoke bass
Bibliographic record
Abstract
Roanoke bass (Ambloplites cavifrons) persist in five river basins in the eastern US, where they are threatened by invasive species, habitat loss and degradation, and hydrologic fragmentation. We conducted the first conservation genetic study of A. cavifrons, analyzing variation at 19 nuclear microsatellite DNA loci and the cytochrome b mitochondrial DNA gene to estimate population structure and demography, genetic relationships among populations, and the role of landscape features in regulating genetic diversity and differentiation. Most streams harbored genetically distinguishable populations, with high connectivity among reaches within streams but no contemporary dispersal among streams. In contrast, mitochondrial divergence within and among basins was weak, suggesting historically higher range-wide connectivity. Most populations exhibited small effective population sizes and evidence of past population bottlenecks. Genetic diversity correlated positively with patch size but negatively with watershed urban and agricultural development, suggesting that habitat loss, degradation, and fragmentation have acted in concert to reduce population viability. Mitigating these impacts may require a combination of tactics, including restoring habitat, limiting the spread of invasive competitors, and reestablishing historical connectivity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".