We study how evolution and ecology shape the biological diversity of natural populations. We aim to understand the effects of both genetic and environmental effects on animal life histories. This includes how climate change is affecting wild animal populations today, as well as studies of the genetic basis of quantitative traits, natural and sexual selection, inbreeding depression, senescence, phenotypic plasticity and maternal effects. Most of my work has been on wild vertebrate species, in particular in studies where we have long-term records over several decades of a population, but I've also worked with collaborators on a range of lab, domestic and plant populations.
(Superb fairy-wren photo by Jessica McLachlan @McLachlan_JR)
Book: Charmantier, A., D. Garant, and L. E. B. Kruuk, editors. 2014. Quantitative Genetics in the Wild. Oxford University Press, Oxford.
Hajduk, Walling, Cockburn, Kruuk (2020). The 'algebra of evolution': the Robertson-Price identity and viability selection for body mass in a wild bird population. Phil. Trans. Royal Soc. B 375:20190359.
Lv, Liu, Osmond, Cockburn, Kruuk (2020). When to start and when to stop: Effects of climate on breeding in a multi-brooded songbird. Global Change Biology 26:443-457.
Siepielski, Morrissey, Carlson, Francis, Kingsolver, Whitney, Kruuk (2019). No evidence that warmer temperatures are associated with selection for smaller body sizes. Proc. Roy. Soc. B 286:20191332.
Froy, Martin, Stopher, Morris, Morris, Clutton-Brock, Pemberton, Kruuk (2019). Consistent within-individual plasticity is sufficient to explain temperature responses in red deer reproductive traits. J. Evolutionary Biology 32:1194-1206.
Bonnet, Morrissey Michael, Clutton-Brock, Pemberton, Kruuk (2019). The role of selection and evolution in changing parturition date in a red deer population. Plos Biology 9:9-15.
Bonnet, Morrissey, Kruuk (2019). Estimation of Genetic Variance in Fitness, and Inference of Adaptation, When Fitness Follows a Log-Normal Distribution. J. Heredity 110:383-395.
Arnold, Nicotra, Kruuk (2019). Sparse evidence for selection on phenotypic plasticity in response to temperature. Phil. Trans. Royal Soc. B 374:20180185.
Henshaw, Jennions, Kruuk (2018). How to quantify (the response to) sexual selection on traits. Evolution 72:1904-1917.
Hayward, Pemberton, Berenos, Wilson, Pilkington, Kruuk (2018). Evidence for Selection-by-Environment but Not Genotype-by-Environment Interactions for Fitness-Related Traits in a Wild Mammal Population. Genetics 208:349-364.
Hajduk, Cockburn, Margraf, Osmond, Walling, Kruuk (2018). Inbreeding, inbreeding depression, and infidelity in a cooperatively breeding bird. Evolution 72:1500-1514.
Cooper, Kruuk (2018). Ageing with a silver-spoon: A meta-analysis of the effect of developmental environment on senescence. Evolution Letters 2:460-471.
Siepielski, et al. (2017). Precipitation drives global variation in natural selection. Science 355:959-+.
Thackeray, et al. (2016). Phenological sensitivity to climate across taxa and trophic levels. Nature 535:241-294.
Huisman, Kruuk, Ellis, Clutton-Brock, Pemberton (2016). Inbreeding depression across the lifespan in a wild mammal population. Proc. Nat. Acad. Sci. USA 113:3585-3590.
Woolhouse, et al. (2015). Co-infections determine patterns of mortality in a population exposed to parasite infection. Science Advances 1:10.
Kruuk, Osmond, Cockburn (2015). Contrasting effects of climate on juvenile body size in a Southern Hemisphere passerine bird. Global Change Biology 21:2929-2941.
Walling, Morrissey, Foerster, Clutton-Brock, Pemberton, Kruuk (2014). A Multivariate Analysis of Genetic Constraints to Life History Evolution in a Wild Population of Red Deer. Genetics 198:1735-1835.
Kruuk, Garant, Charmantier (2014). The study of quantitative genetics in wild populations. . Quantitative genetics in the wild. A. Charmantier, D. Garant and L. E. B. Kruuk. Oxford, Oxford University Press: 1-15.
E&E PhD Exit Seminar: Personality, sociality, and democracy: insights from a wild kangaroo population
E&E Special Seminar: Understanding the non-problem of collinearity in multiple regression analysis: a (minimally mathematical) dissection of what multiple regression does
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