Correlation between body size and longevity: New analysis and data covering six taxonomic classes of vertebrates
Bibliographic record
Abstract
Large bodied species are known to live longer than small bodied species. However, it is less clear whether the positive correlation varies across taxa. In this short communication, we combine data entries from literature and databases on body mass and maximum life span for 3722 species covering taxonomic Classes Chondrichthyes, Teleostei, Amphibia, Reptilia, Aves, and Mammalia. We then analyse the log(maximum life span) – log(body mass) relationship using generalized linear model with nested random intercepts and slopes for Class/Order/Family. Our analyses generally demonstrate the positive longevity – body mass relationship but also reveal that slopes and intercepts differ slightly among all Classes except Reptilia and Amphibia. Highest slopes can be found in Classes Aves and Chondrichthyes. Differences between the smallest and largest Family-level slopes was more than threefold. While these preliminary analyses provide a brief overview of body size – longevity relationships across taxa, the dataset collated in the present study could serve as a start point for in-depth phylogenetic analyses to uncover complex pathways through which body size and its correlates might have evolved.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 |
| 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 teacher head, 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".