10.5061/DRYAD.M74C8NJ
Royauté, Raphaël
North Dakota State University
Berdal, Monica Anderson
North Dakota State University
Garrison, Courtney R.
North Dakota State University
Dochtermann, Ned A.
North Dakota State University
Data from: Paceless life? a meta-analysis of the pace-of-life syndrome
hypothesis
Dryad
dataset
2019
Covariation
Ficedula hypoleuca
Carduelis chloris
phenotypic integration
Cyanistes caeruleus
Marmota marmota
Cherax destructor
Calidris canutus
Canis lupus familiaris
Tamias striatus
Taeniopygia guttata
Cervus elaphus
Esox lucius
Parus major
Strix aluco
Acheta domesticus
Larinioides cornutus
Urocitellus beldingi
Microtus pennsylvanicus
Gryllus integer
Zootoca vivipara
behavioural syndrome
Tamias sibiricus
Ischnura sp.
Desmognathus brimleyorum
Larinioides patagiatus
Peromyscus maniculatus
Dicentrarchus labrax
Rana dalmatina
Tenebrio molitor
Gasterosteus aculeatus
Strix uralensis
2019-03-05T00:00:00Z
2019-03-05T00:00:00Z
en
https://doi.org/10.1007/s00265-018-2472-z
104750 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The pace-of-life syndrome hypothesis predicts that individual differences
in behaviour 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 behaviours 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
behaviour 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 analysed (behaviour ×
life-history: r = 0.12; behaviour × physiology: r = 0.04). Exploratory
post-hoc analyses revealed that correlations of behaviour 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” and should be re-evaluated.
BEAS-D-17-00146_ArticlesList of 42 articles selected for meta-analysis
after screeningBEAS-D-17-00146_PhyloTreePhylogenetic tree built using
phyloT for the 30 species used in the meta-analysis (Letunic 2015)
Letunic, I. (2015). phyloT : Phylogenetic Tree Generator. [online]
Phylot.biobyte.de. Available at:
http://phylot.biobyte.de/.BEAS-D-17-00146_DataEffect sizes for
meta-analysis of the relationships between behavior x physiology and
behavior x life-history correlations based on published data from 42
articles and 30 species and a total of 179 estimate. Each estimate
describes the correlation between a behavioral trait (B) and a
physiological (P) or life-history trait (LH).BEAS-D-17-00146_AnalysisR
code used to complete the meta-analysis
Europe
North America