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Behavioral Ecology and Sociobiology

, Volume 66, Issue 11, pp 1543–1548 | Cite as

Defining behavioural syndromes and the role of ‘syndrome deviation’ in understanding their evolution

  • Niels J. Dingemanse
  • Ned A. Dochtermann
  • Shinichi Nakagawa
Commentary

Abstract

This commentary highlights multivariate tools that have been used by evolutionary biologists in the study of syndromes and their evolution and discusses the insights that these methods provide into evolutionary processes relative to the metric ‘syndrome deviation’ that has recently been proposed by Herczeg and Garamszegi (Behav Ecol Sociobiol 66:161–169, 2012). We clarify that non-zero phenotypic correlations arise from the joint influences of within- and between-individual correlations, whereas only non-zero between-individual correlations represent behavioural syndromes, and discuss how acknowledgement of this subtle difference between phenotypic and between-individual correlations affects the applicability of syndrome deviation for the study of behavioural syndromes.

Keywords

Animal personality Behavioural syndrome Correlational selection Quantitative genetics Mixed-effect modelling 

Notes

Acknowledgments

NJD was supported by the Max Planck Society, and SN, by the Humboldt Fellowship and Marsden Fund. We acknowledge the input of two anonymous referees who both shared a number of ideas for the analyses of syndrome structure that have been gratefully included in a revised version of this paper.

References

  1. Adolph SC, Hardin JS (2007) Estimating phenotypic correlations: Correcting for bias due to intraindividual variability. Funct Ecol 21:178–184CrossRefGoogle Scholar
  2. Adriaenssens B, Johnsson JI (2012) Natural selection, plasticity, and the emergence of a behavioural syndrome in the wild. Ecol Lett (in press)Google Scholar
  3. Bell AM, Sih A (2007) Exposure to predation generates personality in threespined sticklebacks (Gasterosteus aculeatus). Ecol Lett 10:828–834PubMedCrossRefGoogle Scholar
  4. Blows MW (2007) A tale of two matrices: Multivariate approaches in evolutionary biology. J Evol Biol 20:1–8PubMedCrossRefGoogle Scholar
  5. Brodie ED, Moore AJ, Janzen FJ (1995) Visualizing and quantifying natural selection. Trends Ecol Evol 10:313–318PubMedCrossRefGoogle Scholar
  6. Dall SRX, Houston AI, McNamara JM (2004) The behavioural ecology of personality: Consistent individual differences from an adaptive perspective. Ecol Lett 7:734–739CrossRefGoogle Scholar
  7. Dingemanse NJ, Dochtermann NA (2012) Quantifying individual variation in behaviour: Mixed-effect modelling approaches. J Anim Ecol (in press)Google Scholar
  8. Dingemanse NJ, Kazem AJN, Réale D, Wright J (2010) Behavioural reaction norms: Where animal personality meets individual plasticity. Trends Ecol Evol 25:81–89PubMedCrossRefGoogle Scholar
  9. Dingemanse NJ, Réale D (2005) Natural selection and animal personality. Behaviour 142:1165–1190CrossRefGoogle Scholar
  10. Eaves LJ, Martin NG, Heath AC, Hewitt JK (1990) Personality and reproductive fitness. Behav Genet 20:563–568PubMedCrossRefGoogle Scholar
  11. Ellison AM (2004) Bayesian inference in ecology. Ecol Lett 7:509–520CrossRefGoogle Scholar
  12. Hadfield JD, Wilson AJ, Garant D, Sheldon BC, Kruuk LEB (2010) The misuse of BLUP in ecology and evolution. Am Nat 175:116–125PubMedCrossRefGoogle Scholar
  13. Henderson CR (1953) Estimation of variance and covariance components. Biometrics 9:226–252CrossRefGoogle Scholar
  14. Herczeg G, Garamszegi LZ (2012) Individual deviation from behavioural correlations: A simple approach to study the evolution of behavioural syndromes. Behav Ecol Sociobiol 66:161–169CrossRefGoogle Scholar
  15. Houle D (2001) Characters as the unit of evolutionary change. In: Wagner GP (ed) The character concept in evolutionary biology. Academic, San Diego, CAGoogle Scholar
  16. Lande R, Arnold SJ (1983) The measurement of selection on correlated characters. Evolution 37:1210–1226CrossRefGoogle Scholar
  17. Lynch M, Walsh B (1998) Genetics and analysis of quantitative traits. Sinauer, Sunderland, MAGoogle Scholar
  18. Nakagawa S, Schielzeth H (2010) Repeatability for Gaussian and non-Gaussian data: A practical guide for biologists. Biol Rev 85:935–956PubMedGoogle Scholar
  19. Réale D, Dingemanse NJ (2010) Selection and evolutionary explanations for the maintenance of personality variation. In: Buss D, Hawley P (eds) The evolution of personality and individual differences. Oxford University Press, London, UK, pp 400–424CrossRefGoogle Scholar
  20. Réale D, Reader SM, Sol D, McDougall P, Dingemanse NJ (2007) Integrating temperament in ecology and evolutionary biology. Biol Rev 82:291–318PubMedCrossRefGoogle Scholar
  21. Roff DA (1997) Evolutionary quantitative genetics. Chapman and Hall, New YorkCrossRefGoogle Scholar
  22. Schluter D (1996) Adaptive radiation along genetic lines of least resistance. Evolution 50:1766–1774CrossRefGoogle Scholar
  23. Schuett W, Tregenza T, Dall SRX (2010) Sexual selection and animal personality. Biol Rev 85:217–246PubMedCrossRefGoogle Scholar
  24. Sih A, Bell A, Johnson JC (2004a) Behavioral syndromes: An ecological and evolutionary overview. Trends Ecol Evol 19:372–378PubMedCrossRefGoogle Scholar
  25. Sih A, Bell AM, Johnson JC, Ziemba RE (2004b) Behavioural syndromes: An integrative overview. Q Rev Biol 79:241–277PubMedCrossRefGoogle Scholar
  26. Sinervo B, Svensson E (2002) Correlational selection and the evolution of genomic architecture. Heredity 89:329–338PubMedCrossRefGoogle Scholar
  27. Snijders TAB, Bosker RJ (1999) Multilevel analysis—an introduction to basic and advanced multilevel modelling. Sage, LondonGoogle Scholar
  28. Spearman C (1904) The proof and measurement of association between two things. Am J Psychol 15:72–101CrossRefGoogle Scholar
  29. Steppan SJ, Phillips PC, Houle D (2002) Comparative quantitative genetics: Evolution of the G matrix. Trends Ecol Evol 17:320–327CrossRefGoogle Scholar
  30. Stinchcombe JR, Agrawal AF, Hohenlohe PA, Arnold SJ, Blows MW (2008) Estimating nonlinear selection gradients using quadratic regression coefficients: Double or nothing? Evolution 62:2435–2440PubMedCrossRefGoogle Scholar
  31. Taylor RW, Boon AK, Dantzer B, Reale D, Humphries MM, Boutin S, Gorrell JC, Coltman DW, Mcadam AG (2012) Low heritabilities, but genetic and maternal correlations between red squirrel behaviours. J Evol Biol 25:614–624PubMedCrossRefGoogle Scholar
  32. Wilson AJ, de Boer M, Arnott G, Grimmer A (2011) Integrating animal personality research and animal context theory: Aggressiveness in the green swordtail Xiphophorus helleri. PLoS One 6:1–13CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Niels J. Dingemanse
    • 1
    • 2
  • Ned A. Dochtermann
    • 3
  • Shinichi Nakagawa
    • 4
    • 5
  1. 1.Evolutionary Ecology of Variation GroupMax Planck Institute for OrnithologySeewiesenGermany
  2. 2.Behavioural Ecology, Department Biology IILudwig-Maximilians University of MunichPlanegg-MartinsriedGermany
  3. 3.Department of Biological SciencesNorth Dakota State UniversityFargoUSA
  4. 4.National Research Centre of Growth and Development, Department of ZoologyUniversity of OtagoDunedinNew Zealand
  5. 5.Department of Behavioural Ecology and Evolutionary GeneticsMax Planck Institute for OrnithologySeewiesenGermany

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