Personality and individual differences in plasticity

Current Opinion in Behavioral Sciences

Volumn 12, Issue , 2016, Pages 18-23

  Stamps, Judy A ^a   Biro, Peter A ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b DEAKIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION; BEHAVIOR; BEHAVIOR CHANGE; HUMAN; INDIVIDUALITY; LEARNING; MODEL; ONTOGENY; PERSONALITY; PRIORITY JOURNAL; REVIEW; TIME;

EID: 84987925295     PISSN: None     EISSN: 23521546     Source Type: Journal    
DOI: 10.1016/j.cobeha.2016.08.008     Document Type: Review

References (54)

1. 1 Reale, D., Reader, S.M., Sol, D., McDougall, P.T., Dingemanse, N.J., Integrating animal temperament within ecology and evolution. Biol Rev 82 (2007), 291–318.
2. 2 Stamps, J., Groothuis, T.G.G., The development of animal personality: relevance, concepts and perspectives. Biol Rev 85 (2010), 301–325.
3. 3 David, M., Salignon, M., Perrot-Minnot, M.-J., Shaping the antipredator strategy: flexibility, consistency, and behavioral correlations under varying predation threat. Behav Ecol 25 (2014), 1148–1156.
4. 4 Han, C.S., Jablonski, P.G., Brooks, R.C., Intimidating courtship and sex differences in predation risk lead to sex-specific behavioural syndromes. Anim Behav 109 (2015), 177–185.
5. 5 Carter, A.J., Feeney, W.E., Marshall, H.H., Cowlishaw, G., Heinsohn, R., Animal personality: what are behavioural ecologists measuring?. Biol Rev 88 (2013), 465–475.
6. 6 Beckmann, C., Biro, P.A., On the validity of a single (boldness) assay in personality research. Ethology 119 (2013), 937–947.
7. 7•• Stamps, J., Individual differences in behavioral plasticities. Biol Rev 91 (2016), 534–567 This article describes different types of behavioral plasticities, and reviews the current literature on individual differences in behavioral plasticities. Topics include the effects of early experience on various types of behavioral plasticities, relationships between personality and plasticity, and relationships across individuals between different types of behavioral plasticities.
8. 8 Snell-Rood, E.C., An overview of the evolutionary causes and consequences of behavioural plasticity. Anim Behav 85 (2013), 1004–1011.
9. 9 Stamps, J.A., Briffa, M., Biro, P.A., Unpredictable animals: individual differences in intraindividual variability (IIV). Anim Behav 83 (2012), 1325–1334.
10. 10 MacDonald, S.W.S., Nyberg, L., Backman, L., Intra-individual variability in behavior: links to brain structure, neurotransmission and neuronal activity. Trends Neurosci 29 (2006), 474–480.
11. 11 Ribeiro, M.J., Paiva, J.S., Castelo-Branco, M., Spontaneous fluctuations in sensory processing predict within-subject reaction time variability. Frontiers Hum Neurosci, 2016, 10.
12. 12 McGraw, K.O., Wong, S.P., Forming inferences about some intraclass correlation coefficients. Psychol Methods, 1, 1996, 30.
13. 13 Biro, P.A., Stamps, J.A., Using repeatability to study physiological and behavioural traits: ignore time-related change at your peril. Anim Behav 105 (2015), 223–230.
14. 14 Brommer, J.E., Class, B., The importance of genotype-by-age interactions for the development of repeatable behavior and correlated behaviors over lifetime. Frontiers Zool, 2015, 12 S2 10.1186/1742-9994-12-s1-s2.
15. 15 Class, B., Brommer, J.E., A strong genetic correlation underlying a behavioural syndrome disappears during development because of genotype-age interactions. Proc R Soc B-Biol Sci, 2015, 282, 10.1098/rspb.2014.2777.
16. 16 Wexler, Y., Subach, A., Pruitt, J.N., Scharf, I., Behavioral repeatability of flour beetles before and after metamorphosis and throughout aging. Behav Ecol Sociobiol, 2016, 1–9.
17. 17 Mueller, T., Mueller, C., Behavioural phenotypes over the lifetime of a holometabolous insect. Frontiers Zool, 2015, 12 S8 10.1186/1742-9994-12-s1-s8.
18. 18 Zsolt Garamszegi, L., Marko, G., Szasz, E., Zsebok, S., Azcarate, M., Herczeg, G., Toeroek, J., Among-year variation in the repeatability, within- and between-individual, and phenotypic correlations of behaviors in a natural population. Behav Ecol Sociobiol 69 (2015), 2005–2017.
19. 19 Debeffe, L., Lemaitre, J.F., Bergvall, U.A., Hewison, A.J.M., Gaillard, J.M., Morellet, N., Goulard, M., Monestier, C., David, M., Verheyden-Tixier, H., et al. Short- and long-term repeatability of docility in the roe deer: sex and age matter. Anim Behav 109 (2015), 53–63.
20. 20 Wuerz, Y., Krueger, O., Personality over ontogeny in zebra finches: long-term repeatable traits but unstable behavioural syndromes. Frontiers Zool, 2015, 12 S9 10.1186/1742-9994-12-s1-s9.
21. 21 Groothuis, T.G.G., Taborsky, B., Introducing biological realism into the study of developmental plasticity in behaviour. Frontiers Zool, 2015, 12 S6 10.1186/1742-9994-12-s1-s6.
22. 22•• Nettle, D., Bateson, M., Adaptive developmental plasticity: what is it, how can we recognize it and when can it evolve?. Proc R Soc B-Biol Sci 282 (2015), 23–31 This review underscores the distinction between adaptive plasticity that is a result of the effects of early experience on an individual's information state, and adaptive plasticity that is a result of lasting effects of early experience on an individual's somatic state. It suggests ways for empiricists to design experiments to untangle these potential effects of early experience on trait values later in life.
23. 23 Lee, W.-S., Metcalfe, N.B., Reale, D., Peres-Neto, P.R., Early growth trajectories affect sexual responsiveness. Proc R Soc B-Biol Sci, 2014, 281, 10.1098/rspb.2013.2899.
24. 24 Taborsky, B., Opening the black box of developmental experiments: behavioural mechanisms underlying long-term effects of early social experience. Ethology 122 (2016), 267–283.
25. 25 Marquez, N., Martinez-Harms, J., Vasquez, R.A., Mpodozis, J., Early olfactory environment influences social behaviour in adult Octodon degus. PLoS One, 2015, 10, 10.1371/journal.pone.0118018.
26. 26•• Sih, A., Mathot, K.J., Moiron, M., Montiglio, P.-O., Wolf, M., Dingemanse, N.J., Animal personality and state-behaviour feedbacks: a review and guide for empiricists. Trends Ecol Evol 30 (2015), 50–60 This article reviews recent models that are based on the assumption that positive or negative feedbacks between an individual's information or somatic state affect the developmental trajectory of its scores for personality traits. It specifies some of the conditions that might encourage the developmental trajectories of different individuals to converge or diverge from one another early in life.
27. 27 Stamps, J.A., Frankenhuis, W.E., Bayesian models of development. Trends Ecol Evol 31 (2016), 260–268.
28. 28 Stamps, J.A., Krishnan, V.V., Combining information from ancestors and personal experiences to predict individual differences in developmental trajectories. Am Nat 184 (2014), 647–657.
29. 29 Kelley, A.D., Humphries, M.M., McAdam, A.G., Boutin, S., Changes in wild red squirrel personality across ontogeny: activity and aggression regress towards the mean. Behaviour 152 (2015), 1291–1306.
30. 30 Lendvai, A.Z., Giraudeau, M., Bokony, V., Angelier, F., Chastel, O., Within-individual plasticity explains age-related decrease in stress response in a short-lived bird. Biol Lett, 2015, 11, 10.1098/rsbl.2015.0272.
31. 31 Edenbrow, M., Croft, D.P., Behavioural types and life history strategies during ontogeny in the mangrove killifish, Kryptolebias marmoratus. Anim Behav 82 (2011), 731–741.
32. 32 Sussman, A., Ha, J., Developmental and cross-situational stability in infant Pigtailed Macaque temperament. Dev Psychol 47 (2011), 781–791.
33. 33 Biro, P.A., Adriaenssens, B., Sampson, P., Individual and sex-specific differences in intrinsic growth rate covary with consistent individual differences in behaviour. J Anim Ecol 83 (2014), 1186–1190.
34. 34 Verbeek, M.E.M., Drent, P.J., Wiepkema, P.R., Consistent individual differences in early exploratory behavior of male Great Tits. Anim Behav 48 (1994), 1113–1121.
35. 35• Mathot, K.J., Dingemanse, N.J., Plasticity and personality. Martin, L.B., Ghalambor, C.K., Woods, H.A., (eds.) Integrative Organismal Biology, 2015, Wiley, 55–69 This article reviews earlier studies of personality and plasticity, and demonstrates how a behavioral reaction norm approach can be used to describe relationships, across individuals, between their scores on personality traits and the temporal or contextual plasticity of those traits.
36. 36 Nicolaus, M., Mathot, K.J., Araya-Ajoy, Y.G., Mutzel, A., Wijmenga, J.J., Kempenaers, B., Dingemanse, N.J., Does coping style predict optimization? An experimental test in a wild passerine bird. Proc R Soc B-Biol Sci, 2015, 282.
37. 37 Herborn, K.A., Heidinger, B.J., Alexander, L., Arnold, K.E., Personality predicts behavioral flexibility in a fluctuating, natural environment. Behav Ecol 25 (2014), 1374–1379.
38. 38 Mathot, K.J., Wright, J., Kempenaers, B., Dingemanse, N.J., Adaptive strategies for managing uncertainty may explain personality-related differences in behavioural plasticity. Oikos 121 (2012), 1009–1020.
39. 39 Sih, A., Del Giudice, M., Linking behavioural syndromes and cognition: a behavioural ecology perspective. Philos Trans R Soc B-Biol Sci 367 (2012), 2762–2772.
40. 40 Bebus, S.E., Small, T.W., Jones, B.C., Elderbrock, E.K., Schoech, S.J., Associative learning is inversely related to reversal learning and varies with nestling corticosterone exposure. Anim Behav 111 (2016), 251–260.
41. 41 Bousquet, C.A.H., Petit, O., Arrive, M., Robin, J.P., Sueur, C., Personality tests predict responses to a spatial-learning task in mallards, Anas platyrhynchos. Anim Behav 110 (2015), 145–154.
42. 42• Griffin, A.S., Guillette, L.M., Healy, S.D., Cognition and personality: an analysis of an emerging field. Trends Ecol Evol 30 (2015), 207–214 This article critiques recent studies of relationships between personality and cognition, and offers constructive suggestions for future research on this topic.
43. 43 Moore, S.R., Depue, R.A., Neurobehavioral foundation of environmental reactivity. Psychol Bull 142 (2016), 107–164.
44. 44 Singer, J.D., Willett, J.B., Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. 2003, Oxford University Press.
45. 45 Verbeke, G., Molenberghs, G., Linear Mixed Models for Longitudinal Data. 2009, Springer.
46. 46 Dingemanse, N.J., Kazem, A.J.N., Reale, D., Wright, J., Behavioural reaction norms: animal personality meets individual plasticity. Trends Ecol Evol 25 (2010), 81–89.
47. 47 Bridger, D., Bonner, S.J., Briffa, M., Individual quality and personality: bolder males are less fecund in the hermit crab Pagurus bernhardus. Proc R Soc B-Biol Sci, 2015, 282, 10.1098/rspb.2014.2492.
48. 48 Westneat, D.F., Schofield, M., Wright, J., Parental behavior exhibits among-individual variance, plasticity, and heterogeneous residual variance. Behav Ecol 24 (2013), 598–604.
49. 49 Brommer, J.E., Karell, P., Ahola, K., Karstinen, T., Residual correlations, and not individual properties, determine a nest defense boldness syndrome. Behav Ecol 25 (2014), 802–812.
50. 50 Fisher, D.N., David, M., Tregenza, T., Rodriguez-Munoz, R., Dynamics of among-individual behavioral variation over adult lifespan in a wild insect. Behav Ecol 26 (2015), 975–985.
51. 51• Cleasby, I.R., Nakagawa, S., Schielzeth, H., Quantifying the predictability of behaviour: statistical approaches for the study of between-individual variation in the within-individual variance. Methods Ecol Evol 6 (2015), 27–37 Presents doubly hierarchical models which provide an integrated way to analyze fixed effects, individual differences in among-individual variances and individual differences in residual variance. In experiments which carefully control for variation in context, these models can provide estimates of individual differences in intraindividual variability.
52. 52 Westneat, D.F., Wright, J., Dingemanse, N.J., The biology hidden inside residual within-individual phenotypic variation. Biol Rev 90 (2015), 729–743.
53. 53 Wolak, M.E., Fairbairn, D.J., Paulsen, Y.R., Guidelines for estimating repeatability. Methods Ecol Evol 3 (2012), 129–137.
54. 54 van de Pol, M., Quantifying individual variation in reaction norms: how study design affects the accuracy, precision and power of random regression models. Methods Ecol Evol 3 (2012), 268–280.