Skip to main content
Biology Letters logoLink to Biology Letters
. 2017 Mar 8;13(3):20170008. doi: 10.1098/rsbl.2017.0008

Living in stable social groups is associated with reduced brain size in woodpeckers (Picidae)

Natalia Fedorova 1,, Cara L Evans 2,†,, Richard W Byrne 1,†,
PMCID: PMC5377039  PMID: 28275166

Abstract

Group size predicts brain size in primates and some other mammal groups, but no such relationship has been found in birds. Instead, stable pair-bonding and bi-parental care have been identified as correlates of larger brains in birds. We investigated the relationship between brain size and social system within the family Picidae, using phylogenetically controlled regression analysis. We found no specific effect of duration or strength of pair-bonds, but brain sizes were systematically smaller in species living in long-lasting social groups of larger sizes. Group-living may only present a cognitive challenge in groups in which members have individually competitive relationships; we therefore propose that groups functioning for cooperative benefit may allow disinvestment in expensive brain tissue.

Keywords: social intelligence theory, social complexity, group size, brain evolution

1. Background

The ‘social intelligence hypothesis’ proposes that living in socially cohesive, semi-permanent groups of individuals with differentiated relationships presents a cognitive challenge, selecting for higher general intelligence [1,2]. This theory, also referred to as the ‘social brain hypothesis’, is strongly supported by positive correlations between brain and social group size within primates, and some other mammal groups [35]. As expected, in taxa where groups consist of temporary aggregations, such as ungulates, there is no correlation [6]. In birds, no effect of group size has been found; rather, brain enlargement is found to correlate with the stability of pair-bonding and bi-parental care [79]. However, relatively few bird species live in long-lasting groups: most bird groupings larger than the bonded pair are often temporary and lack differentiated relationships. One previous attempt to examine the relationship between long-lasting groups and brain size in a taxonomically diverse range of birds found no increase beyond pair-bonding [10]. The Picidae are unusual, presenting the benefit of being relatively taxonomically and ecologically homogeneous, yet showing a range of social relationships, from solitary-living outside the breeding season, through extended pair-bonding, to various larger stable social organizations. We used this diversity to investigate whether potential social complexity—i.e. from long-term residence in a group of familiar, often related, conspecifics—might select for brain size increase in birds. We predicted that species with extended pair bonds would have larger brains than more solitary species, as pair-bonding has been identified as a cause of brain expansion in birds [7,10]; and that species living long-term in larger groups would have larger brains than pair-bonded species, as has been found in primates and several other taxa of mammals [24].

2. Methods

(a). Brain and body mass measurements

Brain volume measures for a total of 61 species were included in the analyses. Data for 39 species were already available [11]; in addition, we measured brain size for 30 species at the London Natural History Museum, Tring, where possible averaging measurements of two different specimens for each (n = 52). For the nine species that overlapped between these two sources, measures correlated closely (r = 0.995, n = 9, p = 0.01).

(b). Categorization of social system

Information on woodpecker social organization [12] was categorized as follows. Solitary included species that were pair-bonded only when breeding and solitary otherwise (solitary for more than half of each year). Pair-living included species that showed long-term pair-bonds and/or remained in family groups beyond the breeding season (more than half of each year with a partner or in a group). Group-living included species that lived long-term in communal groups; in all cases, group members spent more than half of each year in association with conspecifics in addition to their mate and their last brood of young (see electronic supplementary material for details of social systems).

(c). Statistical methods

We analysed the data using phylogenetic generalized least-squares (PGLS) regression, which incorporates the phylogenetic relatedness of species into the model's error term [13]. A maximum clade credibility (MCC) tree (i.e. the most probabilistic tree; see figure 1) was identified using the software TreeAnnotator [14,16] from a sample of 3000 phylogenies built using a family backbone by Hackett and colleagues [15,17]. All phylogenies were obtained from the website www.birdtree.org [15]. Lambda (λ), a measure of phylogenetic signal that can vary between 0 (minimal) and 1 (maximal), was estimated from the model residuals using maximum likelihood, and used to control for statistical non-independence resulting from inter-species relatedness. Because analyses conducted using a single MCC tree do not account for the possibility of phylogenetic uncertainty, we also conducted our analysis across the whole sample of 3000 phylogenies using Bayesian Markov chain Monte Carlo (MCMC) methods (results from the Bayesian MCMC analysis, which did not differ in pattern from those generated using the single MCC tree, can be found in the electronic supplementary material).

Figure 1.

Figure 1.

Evolutionary relationships among woodpeckers. Maximum clade credibility tree with mean node heights, produced using TreeAnnotator [14]. Species are coloured by social organization: blue: solitary; red: pair-living; yellow: group-living. Branch lengths represent time; scale bar represents 3 Myr [15].

The regression model included social organization as a categorical independent variable on three levels (solitary, in species with pair-bonds evident only while raising young; pair-living, in species where the pair and their young remain together for much or all of the year; group-living, in species living in larger and more permanent groupings of several different kinds), and log-transformed brain volume as the dependent variable. A log-transformed measure of body size was included as a covariate to adjust for allometric scaling effects on brain size. We tested for a main effect of social organization using ANOVA, and also made three planned contrasts between the categories of social organization (solitary versus pair-living, solitary versus group-living and pair-living versus group-living) by changing which category was the reference level in the model. We conducted all analyses in R v. 3.1.3 using the packages ape [18] and caper [19], and we viewed trees in FigTree [20].

3. Results

The full PGLS model provided a significantly better fit to the data than the null (intercept-only) model (F3,57 = 63.54, p < 0.001, R2 = 0.76, λ = 0.79). Across 61 species of woodpecker, brain size was significantly associated with social organization (F2,57 = 3.18, p < 0.05; see figure 2). The results of pairwise comparisons between social organization categories were in the opposite direction to predictions. There was no significant difference in brain size between solitary and pair-living species (β = −0.01, t = −0.39, p = 0.70), nor was there a significant difference between pair-living and group-living species (β = −0.07, t = −1.68, p = 0.10; although there was 93% posterior support for a difference found in our Bayesian analysis, see electronic supplementary material). However, comparison between solitary and group-living species revealed a significant reduction in brain size in species living in groups (β = −0.08, t = −2.52, p = 0.01). Moreover, the trend across all comparisons was that of a negative relationship between brain size and social complexity.

Figure 2.

Figure 2.

Relationship between body size and brain size of woodpecker species at different levels of social organization. Dots represent log-transformed body weight and log-transformed brain volume for species that live in solitary (blue), pair-living (red) and group-living (yellow) social organizations. Lines represent the slopes and intercepts estimated by the PGLS regression for all three groups.

4. Discussion

The stable relationships within monogamous, pair-bonded species have been identified as the relevant dimension of cognitive challenge in birds [7,8,10]; however, a separate study detected no obvious effect on brain size from extended pair-bonds in cooperatively breeding corvids [21]. Our results similarly do not support a specific effect of extended pair-bonds in Picidae: we found that whether the pair-bond persists beyond the breeding season is unrelated to species' brain size. All woodpecker species are at least seasonally pair-bonded, since both adults work together to bring up the young; thus, whether pairs or extended families remain together throughout the year may be of less relevance than the relationship between breeding adults.

We found, for the first time in birds, a systematic reduction in brain size associated with larger stable social groupings. That woodpeckers living long-term in larger, potentially more complex, groups have relatively smaller brains was unexpected. Previous suggestions of no general relationship between sociality and brain size in birds [22] may result from the temporary or short-lived nature of groups formed in most bird species, while the previous finding of brain enlargement in species that forage in pairs or stable groups relative to those that are more solitary [10] might reflect different evolutionary pressures, or social categories that are only ostensibly like our own, in what was a more heterogeneous sample of bird species than ours. Also relevant, given that several of our group-living woodpeckers are also cooperative breeders, is the observation that cooperative breeding is associated with smaller brains in primates [23]. However, this comparison warrants further investigation before firm conclusions can be drawn across taxa, given that cooperative breeding in primates is limited to a single family, Callitrichidae, and previous investigations of the relationship between cooperative breeding and brain size in birds found no association [21]. Because the Picidae family is ecologically relatively homogeneous, with most species sharing many aspects of life history, habitat and diet, it seems unlikely that an ecological effect drives our findings, although the possibility needs further investigation.

Our results support previous claims [10] that the evolutionary causes of long-term residence in stable group-living in birds are fundamentally different in nature to those of primates. Social groups in primates are believed to present a cognitive challenge to their members because of the inter-individual competition they promote, including coordination with cooperative allies that increases individual competitive power [1,24]. Most species of primate need to live in social groups because of predation pressure [25]. Competition for resources such as mating and food is thereby created, which individuals can reduce by acquiring information: about group members' ranks and affiliations, kinship and residence time, and any history of support or aggression. This amounts to a considerable cognitive challenge, increasing exponentially with group size: the result is selection for larger brains [26,27]. We suggest that, in contrast to primate groups, relationships in group-living birds are intrinsically cooperative, because these groups depend on cooperation among all members. Without the competitive element that serves as a challenge in primate societies, we propose that group-living allows disinvestment in expensive brain tissue.

Supplementary Material

ESM 1
rsbl20170008supp1.docx (18.8KB, docx)

Supplementary Material

ESM 2
rsbl20170008supp2.xlsx (15.8KB, xlsx)

Acknowledgements

Many thanks are extended to: Judith White and Jo Cooper, for permission to work at the London Natural History Museum, and help with measurements; Andrew Iwaniuk, for general and methodological advice; Sally Street, for advice on phylogenetic modelling techniques; Jean Woods and Brian Schmidt for measurements; Carl Smith, for allowing us to practise measurement techniques; and Nathan Emery, for helpful discussion.

Data accessibility

The dataset supporting this article has been uploaded as part of the electronic supplementary material.

Authors' contributions

All authors contributed equally. R.W.B. designed the study and constructed the paper; C.L.E. planned and reported the statistical analyses, and helped to critically revise the paper; N.F. measured specimens, assembled the data and helped to draft the paper. All authors agree to be held accountable for the content herein and gave final approval for publication.

Competing interests

We have no competing interests.

Funding

N.F. was supported by the University of St Andrews undergraduate research assistantship programme, and C.L.E. was supported by a BBSRC studentship.

References

  • 1.Humphrey NK. 1976. The social function of intellect. In Growing points in ethology (eds Bateson PPG, Hinde RA), pp. 303–317. Cambridge, UK: Cambridge University Press. [Google Scholar]
  • 2.Byrne RW, Whiten A. 1988. Machiavellian intelligence: social expertise and the evolution of intellect in monkeys, apes and humans. Oxford: Clarendon Press. [Google Scholar]
  • 3.Barton RA, Dunbar RIM. 1997. Evolution of the social brain. In Machiavellian intelligence II: extensions and evaluations (eds Whiten A, Byrne RW), pp. 240–263. Cambridge, UK: Cambridge University Press. [Google Scholar]
  • 4.Dunbar RIM, Bever J. 1998. Neocortex size determines group size in insectivores and carnivores. Ethology 104, 695–708. ( 10.1111/j.1439-0310.1998.tb00103.x) [DOI] [Google Scholar]
  • 5.Marino L. 1996. What can dolphins tell us about primate evolution? Evol. Anthropol. 5, 81–85. ( 10.1002/(SICI)1520-6505(1996)5:3<81::AID-EVAN3>3.0.CO;2-Z) [DOI] [Google Scholar]
  • 6.Shultz S, Dunbar RIM. 2006. Both social and ecological factors predict ungulate brain size. Proc R. Soc. B 273, 207–215. ( 10.1098/rspb.2005.3283) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Emery NJ, Seed AM, von Bayern AM, Clayton NS. 2007. Cognitive adaptations of social bonding in birds. Phil. Trans. R. Soc. B 362, 489–505. ( 10.1098/rstb.2006.1991) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.West RJD. 2014. The evolution of large brain size in birds is related to social, not genetic, monogamy. Biol. J. Linn. Soc. 111, 668–678. ( 10.1111/bij.12193) [DOI] [Google Scholar]
  • 9.Shultz S, Dunbar RIM. 2007. The evolution of the social brain: anthropoid primates contrast with other vertebrates. Proc. R. Soc. B 274, 2429–2436. ( 10.1098/rspb.2007.0693) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Shultz S, Dunbar RIM. 2010. Social bonds in birds are associated with brain size and contingent on the correlated evolution of life-history and increased parental investment. Biol. J. Linn. Soc. 100, 111–123. ( 10.1111/j.1095-8312.2010.01427.x) [DOI] [Google Scholar]
  • 11.Corfield JR, et al. 2013. Brain size and morphology of the brood-parasitic and cerophagous honeyguides (Aves: Piciformes). Brain Behav. Evol. 81, 170–186. ( 10.1159/000348834) [DOI] [PubMed] [Google Scholar]
  • 12.del Hoyo J, Elliott A, Sargata J (eds). 2002. Handbook of the birds of the world. Vol. 7. Jacamars to woodpeckers. Barcelona, Spain: Lynx Editions. [Google Scholar]
  • 13.Pagel M. 1999. Inferring the historical patterns of biological evolution. Nature 401, 877–884. ( 10.1038/44766) [DOI] [PubMed] [Google Scholar]
  • 14.Drummond AJ, Suchard MA, Xie D, Rambaut A. 2012. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol. Biol. Evol. 29, 1969–1973. ( 10.1093/molbev/mss075) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jetz W, Thomas GH, Joy JB, Hartmann K, Mooers AO. 2012. The global diversity of birds in space and time. Nature 491, 444–448. ( 10.1038/nature11631) [DOI] [PubMed] [Google Scholar]
  • 16.Drummond AJ, Suchard MA, Xie D, Rambaut A.2016. BEAST v1.8.3; http://beast.bio.ed.ac.uk/treeannotator .
  • 17.Hackett SJ, et al. 2008. A phylogenomic study of birds reveals their evolutionary history. Science 320, 1763–1768. ( 10.1126/science.1157704) [DOI] [PubMed] [Google Scholar]
  • 18.Paradis E, Claude J, Strimmer K. 2004. APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20, 289–290. ( 10.1093/bioinformatics/btg412) [DOI] [PubMed] [Google Scholar]
  • 19.Orme D. 2013. The caper package: comparative analysis of phylogenetics and evolution in R. R package version 5(2). https://cran.r-project.org/web/packages/caper/.
  • 20.Rambaut A.2014. FigTree v1.4.2. http://tree.bio.ed.ac.uk/software%20/figtree .
  • 21.Iwaniuk AN, Arnold KE. 2004. Is cooperative breeding associated with bigger brains? A comparative test in the Corvida (Passeriformes). Ethology 110, 203–220. ( 10.1111/j.1439-0310.2003.00957.x) [DOI] [Google Scholar]
  • 22.Beauchamp G, Fernández-Juricic E. 2004. Is there a relationship between forebrain size and group size in birds? Evol. Ecol. Res. 6, 833–842. [Google Scholar]
  • 23.Thornton A, McAuliffe K. 2015. Cognitive consequences of cooperative breeding? A critical appraisal. J. Zool. 295, 12–22. ( 10.1111/jzo.12198) [DOI] [Google Scholar]
  • 24.Byrne RW. 1996. Machiavellian intelligence. Evol. Anthropol. 5, 172–180. ( 10.1002/(SICI)1520-6505(1996)5:5<172::AID-EVAN6>3.0.CO;2-H) [DOI] [Google Scholar]
  • 25.van Schaik CP. 1983. Why are diurnal primates living in groups? Behaviour 87, 120–147. ( 10.1163/156853983X00147) [DOI] [Google Scholar]
  • 26.Brothers L. 1990. The social brain: a project for integrating primate behavior and neurophysiology in a new domain. Concepts Neurosci. 1, 27–51. [Google Scholar]
  • 27.Seyfarth RM, Cheney DL. 2002. What are big brains for? Proc. Natl Acad. Sci. USA 99, 4141–4142. ( 10.1073/pnas.082105099) [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ESM 1
rsbl20170008supp1.docx (18.8KB, docx)
ESM 2
rsbl20170008supp2.xlsx (15.8KB, xlsx)

Data Availability Statement

The dataset supporting this article has been uploaded as part of the electronic supplementary material.


Articles from Biology Letters are provided here courtesy of The Royal Society

RESOURCES