Paceless life? A meta-analysis of the pace-of-life syndrome hypothesis
The pace-of-life syndrome hypothesis predicts that individual differences in behavior should integrate with morphological, physiological, and life-history traits along a slow to fast pace-of-life continuum. For example, individuals with a “slow” pace-of-life are expected to exhibit a slower growth rate, delayed reproduction, longer lifespans, have stronger immune responses, and are expected to avoid risky situations relative to “fast” individuals. If supported, this hypothesis would help resolve ecological and evolutionary questions regarding the origin and maintenance of phenotypic variation. Support for the pace-of-life syndrome hypothesis has, however, been mixed. Here, we conducted a meta-analysis of 42 articles and 179 estimates testing the pace-of-life syndrome hypothesis as it applies to the integration of behaviors with physiological or life-history traits. We found little overall support for the pace-of-life syndrome hypothesis with the mean support estimated as r = 0.06. Support for the pace-of-life syndrome hypothesis was significantly higher in invertebrates (r = 0.23) than vertebrates (r = 0.02) and significantly higher when based on phenotypic (r = 0.10) versus genetic correlations (r = − 0.09). We also found that females exhibited correlations between behavior and life-history and physiology that were opposite the predictions of the pace-of-life syndrome hypothesis (r = − 0.16) and that these correlations significantly differed from those observed in males (r = 0.01) or males and females pooled (r = 0.12). It was also the case that there was little support for the hypothesis when life-history and physiological traits were independently analyzed (behavior × life-history: r = 0.12; behavior × physiology: r = 0.04). Exploratory post hoc analyses revealed that correlations of behavior with growth rate and hormone levels were more likely to show support for the predictions of the pace-of-life syndrome hypothesis. The lack of overall support found in our analyses suggests that general assertions regarding phenotypic integration due to “pace-of-life” should be re-evaluated.
The pace-of-life syndrome hypothesis has been proposed as an overall organizational framework for the integration of behavioral, life-history, and physiological traits. This hypothesis provides potentially profound insights into how and why phenotypic traits might covary and why phenotypic variation may be maintained within populations. Over the last 7 years, this organizational framework has been intensively investigated as it pertains to relationships between behavior and other traits. Here, we conducted an overall analysis of whether the hypothesis was supported. Despite considerable research investment across behavioral ecology, we did not find that available data supported the pace-of-life syndrome hypothesis. This suggests that either the hypothesis has been inappropriately tested or is not generally applicable.
KeywordsPersonality Behavioral syndrome Covariation Phenotypic integration
We thank P.O. Montiglio and D. Réale for important discussions and for directing us to particular studies not identified by our searches. We also thank Julia Bowsher, M. Dammhahn, and three anonymous reviewers for comments provided on an earlier draft of this manuscript. RR was supported by a North Dakota EPSCoR grant to NAD. CRG and MAB were supported by the North Dakota State University Department of Biological Sciences.
- Egger M, Smith GD, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315(7109):629–634Google Scholar
- Hämäläinen A, Immonen E, Tarka M, Schuett W (2018) Evolution of sex-specific pace-of-life syndromes. Behav Ecol Sociobiol. https://doi.org/10.1007/s00265-018-2466-x
- Letunic I (2015) phyloT : Phylogenetic Tree Generator. [online] Phylot.biobyte.de. Available at: http://phylot.biobyte.de/
- Mathot KJ, Frankenhuis WE (2018) Models of pace-of-life syndromes (POLS): a systematic review. Behav Ecol Sociobiol. https://doi.org/10.1007/s00265-018-2459-9
- Montiglio PO, Dammhahn M, Dubuc Messier G, Réale D (2018) The pace-of-life syndrome hypothesis: evidence, limitations and future directions. Behav Ecol Sociobiol. (in press)Google Scholar
- Royauté R, Berdal MA, Garrison CR, Dochtermann NA (2018) Data from: Paceless life? A meta-analysis of the pace-of-life syndrome hypothesis. Dryad Digital Repository, https://doi.org/10.5061/dryad.m74c8nj
- Salzman TC, McLaughlin AL, Westneat DF, Crowley PH (2018) Energetic trade-offs and feedbacks between behavior and metabolism influence correlations between pace-of-life attributes. Behav Ecol Sociobiol. https://doi.org/10.1007/s00265-018-2460-3
- Viechtbauer W (2010) Conducting meta-analyses in with the package. J Stat Softw 36(3):1–48Google Scholar