Habitat‐specific trends in ontogeny of body shape in stickleback from coastal archipelago: Potential for rapid shifts in colonizing populations
Bibliographic record
Abstract
We investigated ontogenetic trends in body shape of 54 freshwater (48 lake, seven stream) and six anadromous populations of threespine stickleback (Gasterosteus aculeatus L.) from the Haida Gwaii archipelago off the west coast of Canada. Multivariate analysis of covariance on the partial warp scores generated from 12 homologous landmarks on 1,958 digital images of subadult and adult male stickleback indicated that there was considerable variability of population ontogenetic slopes. We used discriminant function analysis to quantify body shape and determined that anadromous stickleback, which are ancestral to the freshwater populations, have a strongly negative ontogenetic slope (-5.62; increased streamlining with increased size). All freshwater populations exhibit a more positive slope (91% differed significantly from the marine slope), with the differences being most accentuated in populations from ponds and streams. In pristine lakes, ontogenetic slope could be predicted by lake volume as well as multivariate measures of habitat. Evidence from field transplant experiments of one of the intact populations indicates a rapid change (5 years) from allometric to isometric growth, equivalent to about half of the total slope variation among intact populations on the archipelago. We interpret this shift as developmental plasticity and suggest this may comprise the precursor for selection of optimal body shapes in these stickleback populations.
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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 | 0.000 |
| 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 | 0.000 |
| 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".