Robin H. McCleery
University of Oxford
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Featured researches published by Robin H. McCleery.
Science | 2008
Anne Charmantier; Robin H. McCleery; Lionel R. Cole; C. M. Perrins; Loeske E. B. Kruuk; Ben C. Sheldon
Rapid climate change has been implicated as a cause of evolution in poorly adapted populations. However, phenotypic plasticity provides the potential for organisms to respond rapidly and effectively to environmental change. Using a 47-year population study of the great tit (Parus major) in the United Kingdom, we show that individual adjustment of behavior in response to the environment has enabled the population to track a rapidly changing environment very closely. Individuals were markedly invariant in their response to environmental variation, suggesting that the current response may be fixed in this population. Phenotypic plasticity can thus play a central role in tracking environmental change; understanding the limits of plasticity is an important goal for future research.
Nature | 2005
Dany Garant; Loeske E. B. Kruuk; Teddy A. Wilkin; Robin H. McCleery; Ben C. Sheldon
Evolutionary theory predicts that local population divergence will depend on the balance between the diversifying effect of selection and the homogenizing effect of gene flow. However, spatial variation in the expression of genetic variation will also generate differential evolutionary responses. Furthermore, if dispersal is non-random it may actually reinforce, rather than counteract, evolutionary differentiation. Here we document the evolution of differences in body mass within a population of great tits, Parus major, inhabiting a single continuous woodland, over a 36-year period. We show that genetic variance for nestling body mass is spatially variable, that this generates different potential responses to selection, and that this diversifying effect is reinforced by non-random dispersal. Matching the patterns of variation, selection and evolution with population ecological data, we argue that the small-scale differentiation is driven by density-related differences in habitat quality affecting settlement decisions. Our data show that when gene flow is not homogeneous, evolutionary differentiation can be rapid and can occur over surprisingly small spatial scales. Our findings have important implications for questions of the scale of adaptation and speciation, and challenge the usual treatment of dispersal as a force opposing evolutionary differentiation.
Ecology Letters | 2008
Owen R. Jones; Shripad Tuljapurkar; Jussi S. Alho; Kenneth B. Armitage; Peter H. Becker; Pierre Bize; Jon E. Brommer; Anne Charmantier; Marie J. E. Charpentier; T. H. Clutton-Brock; F. Stephen Dobson; Marco Festa-Bianchet; Lars Gustafsson; Henrik Jensen; Carl G. Jones; Bo-Goeran Lillandt; Robin H. McCleery; Juha Merilä; Peter Neuhaus; Malcolm A. C. Nicoll; Ken Norris; Madan K. Oli; Josephine M. Pemberton; Hannu Pietiäinen; Thor Harald Ringsby; Alexandre Roulin; Bernt-Erik Sæther; Joanna M. Setchell; Ben C. Sheldon; Paul M. Thompson
Comparative analyses of survival senescence by using life tables have identified generalizations including the observation that mammals senesce faster than similar-sized birds. These generalizations have been challenged because of limitations of life-table approaches and the growing appreciation that senescence is more than an increasing probability of death. Without using life tables, we examine senescence rates in annual individual fitness using 20 individual-based data sets of terrestrial vertebrates with contrasting life histories and body size. We find that senescence is widespread in the wild and equally likely to occur in survival and reproduction. Additionally, mammals senesce faster than birds because they have a faster life history for a given body size. By allowing us to disentangle the effects of two major fitness components our methods allow an assessment of the robustness of the prevalent life-table approach. Focusing on one aspect of life history - survival or recruitment - can provide reliable information on overall senescence.
The American Naturalist | 2004
Robin H. McCleery; R. A. Pettifor; P. Armbruster; Karin Meyer; Ben C. Sheldon; Christopher M. Perrins
Traits that are closely associated with fitness tend to have lower heritabilities (h2) than those that are not. This has been interpreted as evidence that natural selection tends to deplete genetic variation more rapidly for traits more closely associated with fitness (a corollary of Fisher’s fundamental theorem), but Price and Schluter (1991) suggested the pattern might be due to higher residual variance in traits more closely related to fitness. The relationship between 10 different traits for females, seven traits for males, and overall fitness (lifetime recruitment) was quantified for great tits (Parus major) studied in their natural environment of Wytham Wood, England, using data collected over 39 years. Heritabilities and the coefficients of additive genetic and residual variance (CVA and CVR, respectively) were estimated using an “animal model.” For both males and females, a trait’s correlation (r) with fitness was negatively related to its h2 but positively related to its CVR. The CVA was not related to the trait’s correlation with fitness in either sex. This is the third study using directly measured fitness in a wild population to show the important role of residual variation in determining the pattern of lower heritabilities for traits more closely related to fitness.
Journal of Animal Ecology | 1988
Jean Clobert; Christopher M. Perrins; Robin H. McCleery; A. G. Gosler
SUMMARY (1) Survival rates of Great Tits were studied using data collected in Wytham Wood, Oxfordshire. The breeding population was split into four groups by sex and status (born in nestboxes = residents, not known to be born in nestboxes = immigrants). Survival rates were only measured for breeding adults, the large majority of which were 1 year old when first found breeding. (2) Survival rates were estimated using a recent modification of Cormacks (1964) method. Relationships between these estimates and several environmental variables were investigated. (3) The comparison of two different estimates of capture rate showed that some birds seem to miss 1 year of breeding in nestboxes more often than others; these are more likely to be immigrants. (4) Age, sex, and immigration status of the birds have a strong influence on the survival rate. (5) Male survival rate is negatively related to the density of blue tits, while that of females is not. We suggested that this may be related to the cost of defending a territory. (6) Female survival rate is negatively related to the beech crop production of the previous year (BCC). BCC is probably an indirect measure of the number of resident males, so that the relationship reflects competition between males and females. (7) Survival rates of immigrant males and resident females are affected by different variables from those affecting resident males and immigrant females. Although it is difficult to explain these differences satisfactorily, they may be related to sex differences in dispersal behaviour. (8) The survival rates of the four groups seem to differ irrespective of the age of the birds. In any year females may survive better or worse than males and independently immigrants may survive better or worse than residents. These differences in survival between the four groups are not consistent in direction, although sometimes strongly significant.
Ecology Letters | 2005
Stephen C. Votier; Ben J. Hatchwell; Andrew P. Beckerman; Robin H. McCleery; Fiona M. Hunter; Jayne Pellatt; Mark Trinder; Tim R. Birkhead
Oil spills often spell disaster for marine birds caught in slicks. However, the impact of oil pollution on seabird population parameters is poorly known because oil spills usually occur in wintering areas remote from breeding colonies where birds may be distributed over a wide area, and because it is difficult to separate the effects of oil pollution from the effect of natural environmental variation on seabird populations. Using a long-term data set we show that over-winter survival of adult common guillemots (Uria aalge) is negatively affected by both the incidence of four major oil-spills in their wintering grounds and high values of the North Atlantic Oscillation (NAO) index. After controlling for the effect of the NAO index, we show that winter mortality of adult guillemots is doubled by major oil pollution incidents. Our results demonstrate that oil pollution can have wide-scale impacts on marine ecosystems that can be quantified using populations of marked individuals to estimate survival.
Nature | 2005
Bernt-Erik Sæther; Russell Lande; Steinar Engen; Henri Weimerskirch; Magnar Lillegård; Res Altwegg; Peter H. Becker; Thomas Bregnballe; Jon E. Brommer; Robin H. McCleery; Juha Merilä; Erik Nyholm; Wallace B. Rendell; Raleigh R. Robertson; Piotr Tryjanowski; Marcel E. Visser
Theoretical studies have shown that variation in density regulation strongly influences population dynamics, yet our understanding of factors influencing the strength of density dependence in natural populations still is limited. Consequently, few general hypotheses have been advanced to explain the large differences between species in the magnitude of population fluctuations. One reason for this is that the detection of density regulation in population time series is complicated by time lags induced by the life history of species that make it difficult to separate the relative contributions of intrinsic and extrinsic factors to the population dynamics. Here we use population time series for 23 bird species to estimate parameters of a stochastic density-dependent age-structured model. We show that both the strength of total density dependence in the life history and the magnitude of environmental stochasticity, including transient fluctuations in age structure, increase with generation time. These results indicate that the relationships between demographic and life-history traits in birds translate into distinct population dynamical patterns that are apparent only on a scale of generations.
The American Naturalist | 2004
Dany Garant; Loeske E. B. Kruuk; Robin H. McCleery; Ben C. Sheldon
Heritable phenotypic traits under significant and consistent directional selection often fail to show the expected evolutionary response. A potential explanation for this contradiction is that because environmental conditions change constantly, environmental change can mask an evolutionary response to selection. We combined an “animal model” analysis with 36 years of data from a long‐term study of great tits (Parus major) to explore selection on and evolution of a morphological trait: body mass at fledging. We found significant heritability of this trait, but despite consistent positive directional selection on both the phenotypic and the additive genetic component of body mass, the population mean phenotypic value declined rather than increased over time. However, the mean breeding value for body mass at fledging increased over time, presumably in response to selection. We show that the divergence between the response to selection observed at the levels of genotype and phenotype can be explained by a change in environmental conditions over time, that is, related both to increased spring temperature before breeding and elevated population density. Our results support the suggestion that measuring phenotypes may not always give a reliable impression of evolutionary trajectories and that understanding patterns of phenotypic evolution in nature requires an understanding of how the environment has itself changed.
The American Naturalist | 1998
Bernt-Erik Sæther; Steinar Engen; Aminul Islam; Robin H. McCleery; Christopher M. Perrins
Using a long‐term demographic data set, we estimated the separate effects of demographic and environmental stochasticity in the growth rate of the great tit population in Wytham Wood, United Kingdom. Assuming logistic density regulation, both the demographic ( \documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \usepackage[OT2,OT1]{fontenc} \newcommand\cyr{ \renewcommand\rmdefault{wncyr} \renewcommand\sfdefault{wncyss} \renewcommand\encodingdefault{OT2} \normalfont \selectfont} \DeclareTextFontCommand{\textcyr}{\cyr} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} \landscape
Proceedings of the Royal Society of London B: Biological Sciences | 2006
Anne Charmantier; Christopher M. Perrins; Robin H. McCleery; Ben C. Sheldon