Evolutionary hypotheses for a constraint to life‐history resilience in depleted <i>Salmo salar</i> populations
Bibliographic record
Abstract
Phenotypic plasticity underlies much of the variation in life-history expression in fishes. An understanding of potential constraints on life-history plasticity thus may be critical for assessing the resiliency of populations or species to environmental change. Here, several evolutionary hypotheses are formulated for why a depleted lineage of Canadian Atlantic salmon Salmo salar populations continues to express an apparently maladaptive life history in the face of severe marine mortality. These hypotheses include: (1) reduced genetic variability for expressing plasticity, (2) constraints from genetic architecture, (3) constraints from gene flow, (4) phylogenetic constraints or irreversible evolutionary transitions, (5) environmental constraints to plasticity and (6) a restriction to population rescue from evolutionary-demographic feedbacks. This S. salar lineage is intriguing to consider for understanding resilience or the lack thereof, because it has life-history attributes that should favour resilience (e.g. a high degree of iteroparity, variable age at maturity and the presence of both long- and short-distance migration ecotypes). In particular, the discussion centres on the question of why S. salar females, in contrast to males, do not adopt a non-anadromous life history and mature in fresh water, given extremely high marine mortality among anadromous individuals of both sexes. A salient implication, with possibly significant conservation ramifications, is that fishes may exhibit substantial plasticity and potential for adapting to environmental change, but still be incapable of responding to certain environmental changes due to sex-specific constraints to life-history plasticity.
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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 | 0.001 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".