COMPLEX GROWTH RATE EVOLUTION IN A LATITUDINALLY WIDESPREAD SPECIES
Bibliographic record
Abstract
The simultaneous effects of selective agents acting on somatic growth rates, their interactions, and their interactions with local environmental conditions that vary across a species' geographic range are potentially complex and poorly known. This is particularly true of viviparous ectotherms whose offspring may be adapted to the gestation environment provided by their mothers. We studied multiple sources of growth rate variation in a widespread, viviparous reptile, including the effect of the maternal environment on growth following parturition. Females in early pregnancy were collected from replicate populations close to the tropical and temperate margins of this species' range. These females completed gestation in either of two different, common environments designed to simulate the thermal and photoperiod environments at the sampling locations. Our experiments revealed complex growth rate evolution between the northern and southern extremes of Eulamprus quoyii's geographic range and local adaptation of growth rates to maternal environments. Unique to this study was the manifestation of these growth rate differences, entrained in utero, but expressed following parturition and maintained through to maturity despite the presence of compensatory growth. In addition to providing the most complete picture to date of the evolution of somatic growth in a viviparous ectotherm, our study suggests that understanding local adaptation to maternal gestation environments, in terms of both mean growth rates and growth rate reaction norms, could change our understanding of how growth rates have evolved in other viviparous ectotherms. Indeed, such local adaptation may provide a selective advantage in the evolution of viviparity.
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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".