The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
BERGMANN's RULE IN NONAVIAN REPTILES: TURTLES FOLLOW IT, LIZARDS AND SNAKES REVERSE IT
Abstract
Bergmann's rule is currently defined as a within-species tendency for increasing body size with increasing latitude or decreasing environmental temperature. This well-known ecogeographic pattern has been considered a general trend for all animals, yet support for Bergmann's rule has only been demonstrated for mammals and birds. Here we evaluate Bergmann's rule in two groups of reptiles: chelonians (turtles) and squamates (lizards and snakes). We perform both nonphylogenetic and phylogenetic analyses and show that chelonians follow Bergmann's rule (19 of 23 species increase in size with latitude: 14 of 15 species decrease in size with temperature), whereas squamates follow the converse to Bergmann's rule (61 of 83 species decrease in size with latitude; 40 of 56 species increase in size with temperature). Size patterns of chelonians are significant using both nonphylogenetic and phylogenetic methods, whereas only the nonphylogenetic analyses are significant for squamates. These trends are consistent among major groups of chelonians and squamates for which data are available. This is the first study to document the converse to Bergmann's rule in any major animal group as well as the first to show Bergmann's rule in a major group of ectotherms. The traditional explanation for Bergmann's rule is that larger endothermic individuals conserve heat better in cooler areas. However, our finding that at least one ectothermic group also follows Bergmann's rule suggests that additional factors may be important. Several alternative processes, such as selection for rapid heat gain in cooler areas, may be responsible for the converse to Bergmann's rule in squamates.
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Cites
Statistical Methods for Meta-Analysis
Wasserman, S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,326
Mayr, E. (1963) · doi:10.4159/harvard.9780674865327 · Cited by 10,175
Phylogenies and the Comparative Method
Felsenstein, J. (1985) · The American Naturalist · doi:10.1086/284325 · Cited by 9,793
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
The Ecological Implications of Body Size
Peters, R. H. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511608551 · Cited by 5,649
MacClade 4.0: analysis of phylogeny and character evolution
(2001) · Choice Reviews Online · doi:10.5860/choice.39-2183 · Cited by 5,554
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
The comparative method in evolutionary biology
(1992) · Choice Reviews Online · doi:10.5860/choice.29-5104 · Cited by 4,931
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,784
TESTING FOR PHYLOGENETIC SIGNAL IN COMPARATIVE DATA: BEHAVIORAL TRAITS ARE MORE LABILE
Blomberg, S. P., Garland, T., & Ives, A. R. (2003) · Evolution · doi:10.1111/j.0014-3820.2003.tb00285.x · Cited by 4,678
Cited by
Coping with Thermal Challenges: Physiological Adaptations to Environmental Temperatures
Tattersall, G. J., Sinclair, B. J., Withers, P. C., Fields, P. A., Seebacher, F., Cooper, C. E., & Maloney, S. K. (2012) · Comprehensive Physiology · doi:10.1002/cphy.c110055 · Cited by 340
Metadata
- Authors
- Ashton, K. G., & Feldman, C. R.
- Venue
- Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-05
- Volume
- 57
- Issue
- 5
- Pages
- 1151-1163
- ISSN
- 0014-3820 (ISSN-L)
- 1558-5646
- OpenAlex
- W2145311014
- Cited by
- 503
- References
- 115
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- closed
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