Animal species come in many shapes and sizes, as do the individuals and populations that make up each species. To us, humans might seem to show particularly high levels of morphological variation, but perhaps this perception is simply based on enhanced recognition of individual conspecifics relative to individual heterospecifics. We here more objectively ask how humans compare to other animals in terms of body size variation. We quantitatively compare levels of variation in body length (height) and mass within and among 99 human populations and 848 animal populations (210 species). We find that humans show low levels of within-population body height variation in comparison to body length variation in other animals. Humans do not, however, show distinctive levels of within-population body mass variation, nor of among-population body height or mass variation. These results are consistent with the idea that natural and sexual selection have reduced human height variation within populations, while maintaining it among populations. We therefore hypothesize that humans have evolved on a rugged adaptive landscape with strong selection for body height optima that differ among locations.
Citation: McKellar AE, Hendry AP (2009) How Humans Differ from Other Animals in Their Levels of Morphological Variation. PLoS ONE 4(9): e6876. doi:10.1371/journal.pone.0006876
Editor: Rebecca Sear, London School of Economics, United Kingdom
Received: March 11, 2009; Accepted: August 10, 2009; Published: September 1, 2009
Copyright: © 2009 McKellar, Hendry. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: AEM and APH are funded by the Natural Sciences and Engineering Research Council of Canada (www.nserc-crsng.gc.ca). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Variation is the raw material for evolution, and it is ubiquitous both within and among populations . However, the balance between forces enhancing variation and forces eroding it likely differs among populations and species. Accordingly, the magnitude of morphological variation can differ markedly among species . As humans, how do we compare to other animals in terms of this variation? Taking a subjective look, morphological variation in a crowd of people might seem large compared to the apparent uniformity of an animal group, such as a flock of birds or a shoal of fish. But perhaps this apparent contrast between humans and other animals is simply a matter of our perception – that is, evolution has probably shaped animals to be more discriminating among individual conspecifics than among individual heterospecifics , . Alternatively, contemporary human populations might indeed show greater morphological variation than other species. Possible reasons might include relaxed natural selection on some human traits  (although perhaps not on others ), the great diversity of conditions we can (and do) inhabit, and recurrent migration and gene flow  among populations. Or perhaps humans instead show lower levels of variation – a point we will return to later.
Our goal is to quantitatively determine how levels of morphological variation within humans compare to those in other animal species. We use body size as our focal morphological variable because this trait can be logically compared among species, and because body size data are readily available for a wide variety of animal populations, both human and non-human (see Tables S1 and S2). In an effort to obtain unbiased data, we searched the literature for means and variances in body height or body length (these two terms are here used interchangeably, depending on context) and body mass both within and among populations of humans and other animals. From these data, we calculated the coefficient of variation (CV; standard deviation divided by the mean) as a standardized measure of variance among individuals within populations and among population means. In total, our dataset included body size variation from 55 studies (99 populations) of humans and 107 studies (210 species and 848 populations) of other animals (Tables S1 and S2).
Results and Discussion
One interesting result was that humans, in comparison to other animals, show a high level of within-population variation in mass considering their within-population variation in height (Figure 1). Specifically, when considering residuals from a regression of within-population CVs for mass on within-population CVs for length, human males and females fell into the 71st and 91st percentiles, respectively, for the entire distribution of animal species.
Figure 1. Species-mean CVs for within-population mass (divided by three; see Materials and Methods) versus length.
Shown are regression lines (solid), x = y lines (dashed), and data for males (A, R2 = 0.81, P<0.001) and females (B, R2 = 0.58, P<0.001).doi:10.1371/journal.pone.0006876.g001
Why, in comparison to other animals, do humans show high variation in mass relative to height? One contributing factor might be that human height is developmentally determinate, and is therefore relatively stable once an individual reaches maturity. Mass, in contrast, can fluctuate dramatically after maturity based on age, diet, and activity level. In line with this greater environmental (as opposed to genetic) contribution to mass than to length, heritabilities are usually lower for mass than for height in humans –. One important environmental factor contributing particularly to variation in mass might be socioeconomic status. For example, status influences mass differences in both developed and developing countries , as well as mass change over time in developed countries . Although socioeconomic status also influences human height, this effect might be more the result of social assortment than variation in nutrition or activity , . It is, of course, true that other animals are also influenced by status and nutrition –, but perhaps humans have a greater and more consistent availability of the cheap, high energy, processed foods that promote mass gain  or greater exposure to societal pressures that contribute to mass loss . Testing these hypotheses for differences between humans and other animals in relative levels of height versus mass variation will require further study.
Another interesting result was that humans show low within-population variation in body height in comparison to body length in non-human animals (Figure 2), but the same was not true for human mass relative to animal mass (Figure S1). These differences can be quantified through several different comparisons. First, the mean within-population CVs for male and female human height correspond to the 8th and 4th percentiles, respectively, of the mean within-population CVs for animal length. In contrast, the mean within-population CVs for male and female human mass correspond to the 56th and 60th percentiles, respectively, of the within-population CVs for animal mass. Second, we compared each human population mean individually to the distribution of animal species means – to see whether our results were robust to which particular human population was considered. Here we found that all but 8 of 101 human male samples, and all but 5 of 96 human female samples, had within-population CVs for height that fell below the 25th percentile of the mean within-population CVs for animal length. In contrast, 82 of 98 human male samples and 62 of 90 human female samples fell between the 25th and 65th percentiles of the mean within-population CVs for animal mass. All of the above results are robust to correction for associations between CVs and mean trait sizes (see Methods and Materials).
Figure 2. Distributions of coefficients of variation (CV) for within-population body length or height.
Shown are species means for animals (black) and population means for humans (grey) for males (A) and females (B). Arrows indicate the locations of CVs for mean human height.doi:10.1371/journal.pone.0006876.g002
Why, in comparison to other animals, do humans show low within-population variation in height? The first critical point is that this difference in CVs might reflect differences between humans and other animal species in any of the components of quantitative variation, including additive genetic variance (VA), dominance genetic variance (VD), epistatic genetic variance (VI), maternal effects variance (VM), and environmental variance (VE) – with the last of these including potential phenotypic plasticity . We are not aware of any studies that directly discriminate among each of these alternatives in a quantitative comparison based on comparable methods applied across many animal species and humans. While acknowledging these possible alternative sources of differences in variation, we here consider the particularly interesting set of hypotheses related to possible differences in VA, the currency of adaptation. Thus, differences between species might reflect differences in factors that increase VA (mutation, recombination, gene flow) or decrease VA (stabilizing or directional selection, genetic drift). In view of the wealth of evidence for selection on body size across the animal kingdom , we here focus on developing hypotheses related to selection, before later considering some alternatives.
Several possibilities exist for how selection might strongly reduce additive genetic variation for human height. First, some studies have suggested stabilizing natural selection on human height by way of increased health problems in very short and very tall individuals , . Second, some studies have suggested directional sexual selection on male human height; taller men often have more sexual partners – and more children . Given that both stabilizing and directional selection should erode genetic variation , natural and sexual selection might act together to decrease human height variation. (Note that low genetic variation for height is not incompatible with a significant heritability - if environmental effects are also low.) Perhaps these selective factors are stronger in humans than in other animals – but this has not been studied.
Our analyses of among-population variation help to refine the above hypothesis that selection might reduce height variation in humans relative to other animals. In particular, humans show levels of among-population variation in height that are similar to that seen in other animals (Figure S2). Specifically, the mean among-population CVs for male and female human height correspond to the 47th and 51st percentiles, respectively, of mean among-population CVs for animal length. Illustrated another way, humans show relatively low levels of within-population variation in height given their among-population variation in height (Figure 3). Specifically, when considering residuals from a regression of within-population CVs for length on among-population CVs for length, human males and females fall into the 20th and 9th percentiles, respectively.
Figure 3. Species-mean CVs for among-population versus within-population body length or height.
Shown are regression lines (solid), x = y lines (dashed), and data for males (A, R2 = 0.29, P = 0.001) and females (B, R2 = 0.23, P<0.001).doi:10.1371/journal.pone.0006876.g003
We hypothesize that this pattern of unremarkable among-population variation in human height, coupled with relatively low within-population variation in human height, is consistent with evolution in response to strong selection for optima that differ among geographic locations. In the lexicon of evolutionary biology , the hypothesis is that humans have evolved on a rugged adaptive landscape characterized by sharp fitness peaks that correspond to locally-optimal body sizes that differ among locations. This idea is consistent with several previous arguments for local adaptation in human height. For example, human height increases with increasing latitude  (as was also the case in our data set, Figure S3), and with decreasing mean annual temperature . Humans thus follow Bergmann's rule, perhaps because larger bodies are more resistant to heat loss in cold climates – or for other reasons . As another example, the short stature of human pygmies is thought to have evolved via strong selection for small body sizes  or life-history trade-offs  that characterize their particular tropical forest environments. Our study complements these previous adaptive interpretations by revealing that height variation is low within populations. In short, we hereby add the “rugged” aspect to the existing idea of adaptive peaks that differ among locations.
Several potential complications and alternatives to the role of selection need to be discussed. First, for local adaptation to be substantial, gene flow has to be somewhat limited among populations . This does seem to be the case for humans, at least historically, given the evidence for broad-scale regional clustering of neutral genetic variation –. If populations can diverge appreciably in these neutral genetic markers, then they should be able to diverge easily in response to different selection pressures. Moreover, gene flow might be reduced for genes specifically influencing height because humans often show height-assortative mating , . Second, genetic drift is an unlikely explanation for variation in human height among populations because correlations with likely selective factors (e.g., temperature) then would not be so strong and repeatable. Third, plasticity due to geographical differences in childhood nutrition or other environmental factors could account for high variation among, relative to within, populations. Fourth, within-population CVs for human height might be low due to reduced VE rather than reduced VA, for instance due to niche construction leading to reduced environmental variance . However, arguing against these latter two possibilities, human mass, which is even more plastic than human height (see above) and is likely influenced by similar environmental factors as is human height, does not show reduced within-population variation relative to among-population variation in comparison to other animals (Figure S4).
In conclusion, we advance the hypothesis that humans have evolved on a rugged adaptive landscape, at least for body height. It would be interesting to see if this hypothesis is supported by analyses of variation in other traits that are shared between humans and other animals. In addition, comparing humans specifically to closely related animal species (i.e., other primates) might give some clue as to whether these forces are specific to humans within the primate order. In any case, we suggest that the adaptive landscape metaphor might provide a useful framework for advancing our understanding of diversification in humans.
Materials and Methods
We searched the literature for studies reporting means and variation in body size for at least one population of a species. Key words for searches included “body size” and “variation.” Citations from the resulting sources were also examined; for humans, many additional sources were taken from Katzmarzyk and Leonard . Of these studies, we further consider only those that examined wild populations (for non-human animals) and adult individuals (as defined in each study, or 18+ years for humans). If more than one study examined the same population, only the most recent study was used. In total, our dataset (Tables S1 and S2) comprised of 55 studies (99 populations) of humans and 107 studies and 210 species (848 populations) of other animals. This included studies from a variety of animal taxa (10 amphibian, 15 bird, 3 fish, 54 invertebrate, 95 mammal, and 33 reptile) and different types of human populations (e.g., 29 indigenous/aboriginal, 40 Least Developed (http://www.un.org/special-rep/ohrlls/ldc/list.htm)). Raw data is available from the authors upon request. Due to the large size of our animal dataset, and the great diversity of species and populations from across the whole animal phylogeny, we did not apply phylogenetic-based analyses (for a simpler alternative analysis see below).
For each sample, we calculated the within-population coefficient of variation (CV) for body length (height) or mass and then averaged these within-population CVs across the sampled populations. This procedure yielded mean within-population CVs for each species. We calculated among-population CVs by using the mean body size measures for each population. We then evaluated in what percentile human means lie within the overall distribution of animal means. This was done both for distributions of mean values (i.e., Figures 2, S1 and S2) as well as for residuals of regression plots (i.e., Figures 1, 3, and S4). When comparing the relative association between body length and mass CVs among species (i.e., Figure 1), CVs for mass were divided by three so as to be directly comparable in dimensionality to CVs for length .
We found no association between CVs and sample sizes either within or among populations for length or mass (results not shown), suggesting that variation in sample size did not influence our results. In contrast, we did find a negative association between trait size (e.g., mean body length) and trait CV (see Houle ) within populations for male length (r = −0.35, P<0.01), female length (r = −0.26, P<0.01), male mass (r = −0.27, P<0.01), and female mass (r = −0.24, P<0.01), and among populations for female length (r = −0.063, P = 0.031) but not male length (r = 0.0052, P = 0.56). However, restricting our analysis to animal species with body sizes within the range of human body size did not influence our conclusions that (1) humans have low levels of within-population variation in height (6th percentile for males and 0th percentile for females), but (2) not within-population variation in mass (65th percentile for males and 42nd percentile for females) or (3) among-population variation in height (45th percentile for males and 71st percentile for females).
To assess the generality of our results, we performed the above analyses with various subsets of the data. Our main conclusions, as described above, did not change in any case. We therefore only here list these additional analyses without providing the details. First, the authors of a given study typically defined each “population” as such, or these designations were implicitly obvious. In a few studies, however, the specific populations were less clear (e.g., museum collections over broad regions) – but our conclusions were the same when excluding these more ambiguous cases. Second, conclusions were the same when including or excluding animal species in which tail length was included in body length measurements. Third, conclusions were the same when considering (1) only human studies published before or after 1974 (the median study date, see Table S2), (2) human studies of only indigenous/aboriginal populations (as defined in each study) or only non-indigenous/aboriginal populations, and (3) human studies from only Least Developed Countries (http://www.un.org/special-rep/ohrlls/ldc/list.htm) or only non-Least Developed Countries. Fourth, conclusions were the same when humans were compared specifically to different taxomonic groups (Table S3), although the distinctiveness of within-population CVs for male (but not female) height was less strong (18th percentile) when humans were compared only to other mammals. Overall, then, our conclusions are robust to the inclusion or exclusion of particular human populations or animal species.
List of all studies, species, and taxa (amphibian, bird, fish, invertebrate, mammal, or reptile) used to obtain coefficients of variation (CV) for male and/or female length and/or mass for animal populations.
(0.25 MB DOC)
List of all studies used to obtain CVs for male and/or female height and/or mass for human populations. Also included is the country of origin, name of specific population or survey title, year of sampling (if provided), indigenous/aboriginal status (as defined in each study), and development status (http://www.un.org/special-rep/ohrlls/ldc/list.htm).
(0.11 MB DOC)
Percentiles for mean within- and among-population male and female human height and mass in relation to species-mean amphibian, invertebrate, mammal, and reptile length and mass distributions. Percentiles are not shown for taxa distributions with n<5 animal species.
(0.03 MB DOC)
Distributions of coefficients of variation (CV) for within-population body mass. Shown are species means for animals (black) and population means for humans (grey) for males (A) and females (B). Arrows indicate the locations of CVs for mean human mass.
(1.80 MB TIF)
Distributions of CVs for among-population body length or height. Shown are data for males (A) and females (B). Arrows indicate the locations of CVs for mean human height.
(1.72 MB TIF)
Bergmann's rule in humans. Mean male height (A, R2 = 0.126, P<0.001), female height (B, R2 = 0.097, P = 0.002), male mass (C, R2 = 0.183, P<0.001), and female mass (D, R2 = 0.155, P<0.001) all increase significantly with absolute latitude. Latitude of each population was approximated using the geographic centre of the country from which the population was sampled. Coordinates were obtained from the CIA World Factbook (https://www.cia.gov/library/publications/the-world-factbook/fields/2011.html).
(1.06 MB TIF)
Species-mean CVs for among- versus within-population body mass. Shown are regression lines (solid), x = y lines (dashed), and data for males (A, R2 = 0.26, P<0.001) and females (B, R2 = 0.37, P<0.001).
(1.72 MB TIF)
We thank Lonnie Aarssen, Alexandre Courtiol, Erika Crispo, Raymond Huey, David Lahti, Paul Martin, Laurene Ratcliffe, Michel Raymond, and Robert Walker for providing comments on the manuscript.
Conceived and designed the experiments: AEM APH. Analyzed the data: AEM. Wrote the paper: AEM APH.
- 1. Darwin C (1859) On the Origin of Species by Natural Selection. London: J Murray. 502 p.
- 2. Pascalis O, Bachevalier J (1998) Face recognition in primates: a cross-species study. Behav Process 43: 87–96.
- 3. Peirce JW, Leigh AE, daCosta APC, Kendrick KM (2001) Human face recognition in sheep: lack of configurational coding and right hemisphere advantage. Behav Process 55: 13–26.
- 4. Stephan CN, Henneberg M (2001) Medicine may be reducing the human capacity to survive. Med Hypotheses 57: 633–637.
- 5. Nettle DN, Pollet TV (2008) Natural selection on male wealth in humans. Amer Nat 172: 658–666.
- 6. Templeton AR (2002) Out of Africa again and again. Nature 416: 45–51.
- 7. Carmichael CM, McGue M (1995) A cross-sectional examination of height, weight, and body-mass index in adult twins. J Gerontol A Biol Sci Med Sci 50: B237–B244.
- 8. Dasgupta I, Dasgupta P, Daschaudhuri AB (1997) Familial resemblance in height and weight in an endogamous Mahisya caste population of rural West Bengal. Am J Hum Biol 9: 7–9.
- 9. Raychaudhuri A, Ghosh R, Vasulu TS, Bharati P (2003) Heritability estimates of height and weight in Mahishya caste populations. Int J Hum Genet 3: 151–154.
- 10. Sobal J, Stunkard AJ (1989) Socioeconomic status and obesity – a review of the literature. Psychol Bull 105: 260–275.
- 11. Ball K, Crawford D (2005) Socioeconomic status and weight change in adults: a review. Soc Sci Med 60: 1987–2010.
- 12. Schumacher A, Knussman R (1979) Are the differences in stature between social classes a modification or an assortment effect? J Hum Evol 8: 809–812.
- 13. Bielicki T, Waliszko H (1992) Stature, upward social mobility and the nature of statural differences between social classes. Ann Hum Biol 19: 589–593.
- 14. Polo V, Bautista LM (2002) Daily body mass regulation in dominance-structured coal tit (Parus ater) flocks in response to variable food access: a laboratory study. Behav Ecol 13: 696–704.
- 15. Lange H, Leimar O (2004) Social stability and daily body mass gain in great tits. Behav Ecol 15: 549–554.
- 16. Pusey AE, Oehlert GW, Williams JM, Goodall J (2005) Influence of ecological and social factors on body mass of wild chimpanzees. Int J Primatol 26: 3–31.
- 17. Swinburn BA, Caterson I, Seidell JC, James WPT (2004) Diet, nutrition and the prevention of excess weight gain and obesity. Public Health Nutr 7: 123–146.
- 18. Polivy J, Herman CP (2002) Causes of eating disorders. Annu Rev Psychol 53: 187–213.
- 19. Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics. Harlow: Longman Group Ltd.
- 20. Kingsolver JG, Pfennig DW (2004) Individual-level selection as a cause of Cope's rule of phyletic size increase. Evolution 58: 1608–1612.
- 21. Nettle D (2002) Height and reproductive success in a cohort of British men. Hum Nature-Int Bios 13: 473–491.
- 22. Nettle D (2002) Women's height, reproductive success and the evolution of sexual dimorphism in modern humans. Proc R Soc Lond B Biol Sci 269: 1919–1923.
- 23. Sear R (2006) Height and reproductive success – how a Gambian population compares to the west. Hum Nature-Int Biosoc 17: 405–418.
- 24. Pawlowski B, Dunbar RIM, Lipowicz A (2000) Tall men have more reproductive success. Nature 403: 156.
- 25. Fisher RA (1930) The Genetical Theory of Natural Selection. London: Clarendon Press.
- 26. Arnold SJ, Pfrender ME, Jones AG (2001) The adaptive landscape as a conceptual bridge between micro- and macroevolution. Genetica 112–113: 9–32.
- 27. Ruff CB (1994) Morphological adaptation to climate in modern and fossil hominids. Yearb Phys Anthropol 37: 65–107.
- 28. Katzmarzyk PT, Leonard WR (1998) Climatic influences on human body size and proportions: ecological adaptations and secular trends. Am J Phys Anthropol 106: 483–503.
- 29. Blackburn TM, Gaston KJ, Loder N (1999) Geographic gradients in body size: a clarification of Bergmann's rule. Divers Distrib 5: 165–174.
- 30. Perry GH, Dominy NJ (2009) Evolution of the human pygmy phenotype. TREE 24: 218–225.
- 31. Migliano AB, Vinicius L, Lahr MM (2007) Life history trade-offs explain the evolution of human pygmies. PNAS 104: 20216–20219.
- 32. Endler JA (1973) Gene flow and population differentiation. Science 179: 243–250.
- 33. Rosenberg NA, Pritchard JK, Weber JL, Cann HM, Kidd KK, et al. (2002) Genetic structure of human populations. Science 298: 2381–2385.
- 34. Shriver MD, Kennedy GC, Parra EJ, Lawson HA, Sonpar V, et al. (2004) The genomic distribution of population substructure in four populations using 8,525 autosomal SNPs. Hum Genomics 1: 274–286.
- 35. Li JZ, Absher DM, Tang H, Southwick AM, Casto AM, et al. (2008) Worldwide human relationships inferred from genome-wide patterns of variation. Science 319: 1100–1104.
- 36. Spuhler JN (1982) Assortative mating with respect to physical characteristics. Soc Biol 29: 53–66.
- 37. Mascie-Taylor CGN (1987) Assortative mating in a contemporary British population. Ann Hum Biol 14: 59–68.
- 38. Donohue K (2005) Niche construction through phenological plasticity: life history dynamics and ecological consequences. New Phytol 166: 83–92.
- 39. Lande R (1977) On comparing coefficients of variation. Syst Zool 26: 214–217.
- 40. Houle D (1992) Comparing evolvability and variability of quantitative traits. Genetics 130: 195–204.