Teeth, brains, and primate life histories
Transcript of Teeth, brains, and primate life histories
Teeth, Brains, and Primate Life HistoriesLaurie R. Godfrey,1* K.E. Samonds,2 W.L. Jungers,2 and M.R. Sutherland3
1Department of Anthropology, University of Massachusetts at Amherst, Amherst, Massachusetts 01003-48052Department of Anatomical Sciences, School of Medicine, State University of New York at Stony Brook,Stony Brook, New York 11794-80813Statistical Consulting Center, Graduate Research Center, University of Massachusetts at Amherst,Amherst, Massachusetts 01003-4535
KEY WORDS dental development; diet; cranial capacity; life histories; primates
ABSTRACT This paper explores the correlates of vari-ation in dental development across the order Primates.We are particularly interested in how 1) dental precocity(percentage of total postcanine primary and secondaryteeth that have erupted at selected absolute ages and lifecycle stages) and 2) dental endowment at weaning (per-centage of adult postcanine occlusal area that is present atweaning) are related to variation in body or brain size anddiet in primates. We ask whether folivores have moreaccelerated dental schedules than do like-sized frugivores,and if so, to what extent this is part and parcel of a generalpattern of acceleration of life histories in more folivorous
taxa. What is the adaptive significance of variation indental eruption schedules across the order Primates? Weshow that folivorous primate species tend to exhibit morerapid dental development (on an absolute scale) than com-parably sized frugivores, and their dental developmenttends to be more advanced at weaning. Our data affirm animportant role for brain (rather than body) size as a pre-dictor of both absolute and relative dental development.Tests of alternative dietary hypotheses offer the strongestsupport for the foraging independence and food processinghypotheses. Am J Phys Anthropol 114:192–214, 2001.© 2001 Wiley-Liss, Inc.
Life history theory has grown enormously over thepast several decades. Its focus has shifted away frombody size as an “explanation” for the “fast-slow” con-tinuum described by early theorists (Taylor, 1965;MacArthur and Wilson, 1967; Peters, 1983; Calder,1984). Modern life history theory attempts to ex-plain why strong correlations hold, across so manytaxa, between body size, longevity, and so on. Envi-ronmental stability, adult mortality, and body sizeoptimization have figured prominently in life historytheory as it has developed over the past severaldecades (MacArthur and Wilson, 1967; Pianka,1970; Promislow and Harvey, 1990; Charnov, 1991,1993; Stearns, 1992; Kozlowski and Weiner, 1997).
With few exceptions (Smith, 1989, 1992; Smith etal., 1994), dental development is not often consid-ered in studies of life history variation. There areseveral reasons why dental development might be ofgreat interest to students of mammalian life histo-ries, however: 1) Dental development may providean important key to understanding the ontogeneticacquisition of ecological competence in the life his-tories of primate species. Weanlings belonging todifferent primate species are not equally ecologicallycompetent; the relationship between dental eruptionand weaning may elucidate that variation. 2) Therelative timing of aspects of skeletal and dental de-velopment may or may not be related in a predict-able manner to body size or reproductive parametersthat tend to describe the classic (“fast-slow”) lifehistory continuum. 3) Dental development provides
a means through which life history inferences maybe drawn for extinct species, as long as the relation-ship between dental development and life historyvariation among their extant relatives is well under-stood (Smith, 1989; Morbeck, 1997; Dirks, 1998;Reed et al., 1998; Kelley, 1999; Godfrey et al., inpress, a). This requires detailed analyses of theadaptive significance, in behavioral ontogeneticterms, of the timing of dental eruption.
This paper explores the relationship between den-tal development and other variables (such as age atweaning, age at first female breeding, body size,brain size) that are more commonly considered instudies of mammalian life history variation. Ourtask is not to test competing explanations of lifehistory variation (i.e., the models of MacArthur andWilson, 1967; Charnov, 1991, 1993; Kozlowski andWeiner, 1997). Such an endeavor would require con-sideration of birth and mortality rates for individu-als in different life cycle stages across species (e.g.,Ross and Jones, 1999). Rather, we are interested inbody size, brain size, and diet as possible correlatesof variation in primate dental development. We limit
Grant sponsor: NSF; Grant number: GER 9450175, SBR-9630350.
*Correspondence to: Laurie Godfrey, Department of Anthropology,Machmer Hall, Box 34805, University of Massachusetts, Amherst,MA 01003-4805. E-mail: [email protected]
Received 12 July 1999; accepted 19 November 2000.
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 114:192–214 (2001)
© 2001 WILEY-LISS, INC.
our discussion to the postcanine teeth, as the timingof canine eruption may be affected by factors relat-ing to the ontogeny of agonism, and should be con-sidered in conjunction with studies of the evolutionof sexual dimorphism.
We tested six hypotheses that might explain vari-ation in the pace of dental development in nonhu-man primates. Two link development to aspects ofadult size; four relate development to diet (food pro-cessing needs, the quality of the diet, or the spatio-temporal distribution and abundance of preferredfood resources). Most of the hypotheses put forthhere were constructed to explain variation in skele-tal “development” and not the development of thedentition per se. Only the brain pleiotropy and foodprocessing hypotheses make explicit predictions re-garding dental development. Our hypotheses are notnecessarily mutually exclusive, as some of our ex-planatory variables (folivory, relative brain size,amount of protein in the diet, and so on) are them-selves correlated. Folivorous species might experi-ence more rapid development than like-sized frugi-
vores as a corollary of more accelerated growth andskeletal maturation, earlier brain maturation, rela-tively small adult brain size, rapid acquisition ofecological independence, low intraspecific feedingcompetition, and/or the mechanical requirements forbreaking down leaves and seeds. Insectivorous pri-mates might experience rapid development as a cor-ollary of their small brains, small bodies, and/orhigh protein diets. It is only through an examinationof the complex interrelationships among possibleexplanatory variables that we can hope to under-stand dental developmental differences across theorder Primates.
MATERIALS AND METHODS
Samples
Dental eruption and metric data were collected byK.E.S. and L.R.G. on 900 individuals (465 imma-tures, and 435 adults) belonging to 40 species in 11families of nonhuman primates (Table 1). Becausethere is little published information on the dental
TABLE 1. Samples of measured crania1
Family Genus and species Dietary category Immature individuals Mature individuals
Indridae Propithecus tattersalli 3 1 1Propithecus verreauxi 3 21 25Propithecus diadema 3 13 30Avahi laniger 3 8 17
Lemuridae Varecia variegata 2 11 6Hapalemur griseus 2 11 7Lemur catta 2 16 11Eulemur macaco 2 6 8Eulemur fulvus 2 20 8
Lepilemuridae Lepilemur ruficaudatus 3 6 14Galagonidae Galago moholi 1 15 14Callitrichidae Callithrix jacchus 1 7 6
Saguinus nigricollis 1 8 9Saguinus fuscicollis 1 2 7
Cebidae Saimiri sciureus 1 4 6Cebus albifrons 2 14 10Cebus apella 2 12 10Aotus trivirgatus 2 4 9
Atelidae Alouatta palliata 3 9 10Alouatta caraya 3 5 7Ateles geoffroyi 2 16 17
Cercopithecidae Chlorocebus aethiops 2 16 8Macaca fascicularis 2 28 15Macaca mulatta 2 9 6Macaca nemestrina 2 14 7Papio cynocephalus 2 8 6Papio anubis 2 12 9Kasi vetulus 3 9 14Semnopithecus entellus 3 30 8Trachypithecus francoisi 3 2 9Trachypithecus cristata 3 17 14Trachypithecus obscura 3 18 36Nasalis larvatus 3 11 8Piliocolobus badius 3 11 6Colobus guereza 3 23 17
Hylobatidae Hylobates lar 2 16 9Hylobates syndactylus 3 5 7
Pongidae Pongo pygmaeus 2 8 9Hominidae Pan troglodytes 2 13 8
Gorilla gorilla 3 6 7
1 Dietary categories: 1, insects or other animal matter and (to varying degrees) fruit are main dietary staples; 2, fruit is main staple,generally supplemented by foliage; and 3, foliage and/or seeds are main staples; fruit (often unripe) may be consumed to varyingdegrees.
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eruption schedules of folivorous primates or of le-murs in general, we supplemented the publisheddata for these taxa with life history data inferredfrom unpublished museum and captive-animalrecords. Using specimens in museum collections inEurope, the United States, and Madagascar, wecompiled known ages for zoo- or facility-raised indi-viduals (whenever available), collection dates forwild-caught lemurs (whose reproductive synchronyallows biological age to be estimated for immatureindividuals with known death dates), coat charac-teristics for colobines and some New World monkeys(whose infant and/or juvenile coat color-changeschedule allows age to be estimated for immatureindividuals with associated skins), and body massesof wild-caught and captive individuals belonging tospecies whose growth trajectories (mass increaseover time) have been published. Also consideredwere the cranial dimensions of individuals of knownages. Combining these data with previously pub-lished data on dental eruption schedules, we wereable to reconstruct at least partial dental eruptionschedules for the primate species in our database(including 10 lemur species and 8 colobines).
Life history data (age at weaning, age at firstfemale breeding, adult female body mass, adult fe-male cranial capacity) were compiled from the pri-mary literature. (Additional life history data com-piled for the same set of species were included inmultiple regression and principal components anal-yses reported elsewhere; Godfrey et al., in press, b).When values for adult female cranial capacity wereunavailable, they were measured directly from mu-seum specimens by one of the authors (W.L.J.).Adult female cranial capacities were used for allsexually dimorphic species and preferred for all spe-cies, although pooled-sex cranial capacities wereused for some sexually monomorphic species, whennecessary.
For each individual in our database, we measuredthe mesiodistal and buccolingual diameters of themilk and permanent postcanine teeth. We then cal-culated species mean values for the adult postcanineocclusal area, as well as postcanine occlusal areas attwo absolute ages (4 months and 1 year) and atweaning. Dental precocity was ascertained by count-ing the postcanine teeth erupted at 4 months, 1 year,and weaning (including the already-replaced milkteeth), and then constructing a ratio of postcanineteeth erupted at each age (or life-history stage) tothe species-typical total number of postcanine teeth(deciduous plus permanent). Endowment at weaningwas calculated by summing the average mesiodistaltimes buccolingual dimensions of all teeth present atweaning (excluding those already replaced), and cal-culating the ratio of postcanine occlusal area atweaning to the mean adult postcanine occlusal area(permanent teeth only). Dental precocity at 4months and 1 year was used to assess how absoluterates of dental development vary independently ofthe degree of dental development at weaning. Ap-
pendix A provides our dental eruption data and keylife history parameters. Appendix B lists the sourcesfor these data.
Dietary categories (insectivore, frugivore, folivore)were assigned on the basis of information in theprimary literature, and diet was treated as a cate-gorical variable (Table 1). A score of 1 (little or nofoliage) was given to species consuming primarilyinsects and fruit (“insectivores”). A score of 2 (mod-erate foliage and fiber) was given to species whoseprimary staple is fruit supplemented by leaves (“fru-givores”). A score of 3 (high foliage and fiber) wasgiven to species whose primary staple is foliage and,to varying degrees, seeds (“folivores”). All anatomi-cal or physiological as well as behavioral folivoreswere assigned to the latter category. Anatomicalfolivores consume fruit to varying degrees; fibrous,unripe fruit may be preferred over ripe fruit, andseeds are often chewed rather than swallowed wholeor discarded. The diets of many primate species areaffected by food availability and can change sub-stantially between seasons or localities. Thus, de-spite the fact that colobus and leaf monkeys are allanatomical folivores, leaf consumption at differentforests or in different seasons can vary from 47–82%(Piliocolobus badius), 47–77% (Colobus guereza),27–51% (Colobus angolensis), and so on (see Kirk-patrick, 1999). Foliage can comprise as little as 26%or as much as 94% of the diets of colobine species,and seeds can comprise as little as 0% or as much as50% (Kirkpatrick, 1999). Conversely, anatomicalfrugivores sometimes consume enormous quantitiesof leaves. Living in the dry deciduous forests of west-ern Madagascar, the western rufous lemur (Eule-mur fulvus rufus) deviates markedly from the east-ern rufous lemur (also E. f. rufus) and from all otherEulemur species, in consuming between 50–90%leaves (Sussman, 1974; Freed, 1999). In contrast,fruit makes up more than 65% of the diet of easternrufous lemurs at all times, and foliage never exceeds20% (Overdorff, 1993). Like other lemurids, E. f.rufus is not a seed predator (Overdorff and Strait,1998). Future analyses of diet and life history vari-ation should take into consideration such dietaryplasticity.
Data analysis
Our first task was to specify the predictions ofeach of our hypotheses, identifying shared as well asunique predictions. Shared and unique contribu-tions of explanatory variables were then exploredusing correlation and partial correlation analysis.Partial correlations are a convenient way to accom-plish essentially the same goal as multiple regres-sion with more than one independent variable(Smith, 1999, and references therein). For example,we can ask if body mass variation explains a signif-icant amount of variation in dental precocity aboveand beyond that explained by its covariation withcranial capacity; cranial capacity would be the vari-able “controlled for” in this case.
194 L.R. GODFREY ET AL.
A problem that sometimes plagues cross-speciesstudies is that of strong phylogenetic correlation(Felsenstein, 1985; Harvey and Pagel, 1991). Unlessone can assume a starburst phylogeny (a bad as-sumption for primates), species cannot be treated asindependent data points due to a nested hierarchy ofrelatedness. Closely related taxa are likely to besimilar simply because they share a common ances-try. This “phylogenetic inertia” can result in spuri-ously narrow confidence intervals and type I errors(Garland et al., 1992, 1999; Harvey and Purvis,1991; Pagel, 1992), in part because degrees of free-dom are grossly inflated (Smith, 1994). We acknowl-edge and adjust for this potentially serious problemby using the variance components approach ofSmith (1994) to calculate effective degrees of free-dom from “discounted” sample sizes. We use themaximum likelihood solution to variance compo-nents available in SAS (procedure “varcomp”). Todetermine the effective N for partial correlationanalysis, we followed the recommendation of Smith(1994), selecting the smaller of two choices: 1) theeffective N calculated for the dependent variable; or2) the mean of the effective Ns calculated for allvariables. Elsewhere, and in a context different fromthe hypothesis testing done here, we report the re-sults of multivariate treatments of phylogeneticallyindependent contrasts (PICs) derived from our den-tal and life-history data (Godfrey et al., in press, b).
We wish to note that the results of our analyses ofPICs are highly consistent with the results of thespecies-value analyses reported here.
Table 2 summarizes the predictions of each of thesix hypotheses and their corresponding statisticaltests. The statistical significance of correlationsfound in our analyses is assessed for both traditionaland phylogenetically reduced degrees of freedom.The appreciable difference between our sample Nsand the calculated discounted Ns points to a non-trivial amount of phylogenetic constraint to most ofour variables (Table 3). Working hypotheses are con-sidered “strongly” supported whenever discountedas well as traditional degrees of freedom yield sig-nificance at P , 0.05. They are considered “moder-ately” supported whenever P , 0.05 for traditional,but not discounted, degrees of freedom, and “weakly”supported when the signal is in the predicted direc-tion, but significance, even under traditional de-grees of freedom, is marginal (P , 0.1). Under othercircumstances, working hypotheses are unsup-ported. Directional hypotheses (e.g., A . B) aretested using one-tailed probabilities and null hy-potheses of the form A # B. When, occasionally,working hypotheses generate predictions in the formof nondirectional null hypotheses (A 5 B), they aretested using two-tailed probabilities. Whereas therationales of alternative dietary hypotheses differ,some of their predictions are shared. It is the unique
TABLE 2. Predictions of the competing hypotheses1
Prediction and hypothesis DCH BPH FIH RAH FPH PRH
Adult / mass is negatively correlated with pace of dental development, evenafter controlling for effects of cranial capacity.
X
Adult / cranial capacity is negatively correlated with absolute pace of dentaldevelopment, even after controlling for effects of body size.
X
Big-bodied species have weanlings that are less dentally advanced than thoseof small-bodied species.
X2
Big-brained species have weanlings that are less dentally advanced thanthose of small-brained species.
X3
Folivores exhibit faster dental development than do like-sized frugivores. X4 X X4 XFolivores wean their offspring earlier than do like-sized frugivores. X X XFolivores reproductively mature earlier than do like-sized frugivores. X X XFolivores exhibit more advanced dental development at weaning than do like-
sized frugivores.X X
Big-brained species have weanlings that are less dentally advanced thanthose of small-brained species, controlling for effects of body size.
X
Folivores have smaller brains than do like-sized frugivores. XThere is no difference between dental development at weaning of folivores
and frugivores, controlling for cranial capacity and body size.X
Late maturers exhibit slower dental development than like-sized earlymaturers.
X
Folivores exhibit faster dental development than do frugivores of similarbrain size.
X
Folivores exhibit more advanced dental development at weaning than dofrugivores, controlling for effects of age at weaning.
X
Folivores exhibit more advanced dental development at weaning than dofrugivores, controlling for effects of brain size.
X
Insectivores wean their offspring earlier than do like-sized frugivores. XInsectivores exhibit faster dental development than do like-sized frugivores. XInsectivores reproductively mature earlier than do like-sized frugivores. X
1 DCH, design constraint hypothesis; BPH, brain pleiotropy hypothesis; FIH, foraging independence hypothesis; RAH, risk aversionhypothesis; FPH, food processing hypothesis; PRH, protein richness hypothesis.2 Assuming weanlings of smaller-bodied species are relatively large.3 Assuming weanlings of smaller-brained species are relatively large.4 Assuming folivores wean at the same age or earlier than do like-sized frugivores.
TEETH, BRAINS, AND PRIMATE LIFE HISTORIES 195
predictions of each hypothesis that are most criticalto hypothesis testing.
HYPOTHESES
The design constraint hypothesis (DCH)
The design constraint hypothesis is grounded inthe work of Taylor (1965), Western (1979), and othertheorists who treated body size as development’sengine. Its premise is that selection for changes inbody mass will effect concomitant changes in lifehistory parameters. In general, large-bodied speciesdevelop more slowly than small-bodied species (Pe-ters, 1983; Calder, 1984). If dental development is amere part and parcel of a size-driven developmentalclock, then large-bodied species should also exhibitslow dental development. Adult mass should be neg-atively correlated with the pace of dental develop-ment, even after the effects of other variables suchas cranial capacity are controlled. Furthermore, ifadult body size is the primary determinant of thepace of dental development, then, regardless of diet,species that are small should exhibit high dentalprecocity at 4 months and 1 year. Diet should havelittle or no size-independent effect on dental devel-opment. Folivores might be expected to exhibitslower dental development than frugivores, and in-sectivores faster dental development than frugi-vores, but only to the extent that folivores tend to belarger and insectivores smaller in body size.
The implications of the DCH for dental develop-ment at weaning depend on the relationship be-tween weanling and maternal mass. Implicit in thework of Taylor (1965) is the notion that all life his-tory events are scaled functions of body size. Char-nov (1991, 1993) argued that weaning occurs whenyoungsters attain a fixed proportion of maternalbody size. However, Purvis and Harvey (1995) foundthat small-bodied ungulates and other mammalstend to have weanlings that are relatively large, andthe ratio of weanling to maternal mass is inverselycorrelated with maternal mass. Whereas some haveclaimed that Charnov’s fixed-proportionality ruleholds for anthropoid primates, we found that thegeneralization by Purvis and Harvey (1995) appliesboth for anthropoids alone and for anthropoids and
strepsirrhines combined.1 Because small-bodied pri-mates tend to wean their offspring at an advancedstate of growth and development, one might expecthigh dental precocity in the weanlings of small-bod-ied species.
The brain pleiotropy hypothesis (BPH)
A central role for the brain in mammalian growthand development has been defended by many re-searchers (reviewed in Ross and Jones, 1999). Inmammals, lactation acts as a kind of buffer, protect-ing infants against the vicissitudes of the environ-ment. Virtually all postnatal brain growth is com-plete at weaning (Martin, 1983). Species with largebrains must extend the period of brain growth anddelay weaning in order to accommodate the highenergetic costs of growing large brains. The mater-nal energy hypothesis of Martin (1996) elaboratesfurther on the notion that brain growth is central toreproduction: it is the mother’s need to sustain braingrowth (via lactation) which effectively sets the de-velopmental clock (see also Lee, 1999). Cranial ca-pacity should predict age at weaning and first breed-ing. Smith (1989, 1992) argued for a link betweenbrain and dental development. Dental developmentmay be prolonged as an incidental effect of pro-longed brain growth.
If dental development is more closely tied to cra-nial capacity than to body size, then one shouldexpect, even after controlling for the effects of bodysize, that small-brained species will develop morerapidly than large-brained creatures. Adult femalecranial capacity should be inversely correlated withdental precocity at 4 months and 1 year. Becausesmall-brained species should also wean their off-spring at an early age, there is no necessary, logicalconnection between brain size and dental precocityor endowment at weaning. However, if weaning oc-curs at a relatively advanced stage of skeletal
1On the basis of anthropoid data published by Lee et al. (1991), wefound that the log10 of the ratio of weaning to maternal mass inprimates is indeed inversely correlated with log10 maternal mass (r 520.54, N 5 30, one-tailed P , 0.001). The relationship is even stron-ger when data for four lemurids and one indrid are included (r 520.60, N 5 35, one-tailed P , 0.0001). Data from the Duke UniversityPrimate Center.
TABLE 3. Effective or discounted sample sizes (after Smith, 1994)
VariableAll taxa(N 5 40)
Frugivores and folivores(N 5 35)
Insectivores and frugivores(N 5 22)
Log10 adult female mass 12 10 10Log10 adult cranial capacity 10 8 9Foliage consumption 21 26 13Age at weaning 11 9 9Age at first breeding 11 9 9Dental precocity at 4 months 9 8 6Dental precocity at 1 year 11 8 11Dental precocity at weaning 18 18 10Dental endowment at weaning 22 21 9
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growth and development in small-brained creatures,then weanlings of small species might also be ex-pected to exhibit an advanced state of dental devel-opment. Again, diet should have little or no size-independent effect on dental development. Folivoresmight be expected to exhibit more rapid dental de-velopment than like-sized frugivores, but only to theextent that they tend to have smaller brains.
The foraging independence hypothesis (FIH)
Our “foraging independence hypothesis” is a logi-cal derivative of what has been called the “need tolearn” hypothesis (Ross and Jones, 1999), anotherhypothesis which purports to explain the observedcorrelation between large brain size and delayedreproduction. Its premise is that both large brainsand late reproduction result from selection for pro-longed learning (Gibson, 1986; Dunbar, 1992, 1995;Byrne, 1995; Joffe, 1997). Whether selection oper-ates mainly to enhance social cognition or to en-hance problem-solving in complex environments, acomplex foraging support network for weanlings(with intergenerational transmission of particularforaging skills) may be options only for taxa withlarge brains. The trade-off is that, to sustain thesocial transmission of complex skills, highly enceph-alized species must also limit the number of off-spring, delay weaning, extend juvenescence, and de-lay reproduction. Youngsters acquire foraging skillsover an extended period of time, and inefficientweanlings can still survive with help from adults.This help comes in a variety of forms. Adults can setan example, engage in active pedagogy, defend foodresources against conspecifics, or transfer food di-rectly to immature individuals (Fragaszy and Bard,1997).
For weanlings of poorly encephalized species, sur-vival depends on greater self-sufficiency. Greaterdental development at weaning may compensate fora weak foraging-support network or for poor dis-crimination in food selection by weanlings. Thus,high dental precocity and endowment at weaningmay be selectively advantageous for species withrelatively low levels of peri- and postweaning mater-nal investment and weak foraging-support net-works.
The foraging independence hypothesis yields anumber of predictions, only three of which areunique to it alone (see Table 2). The unique predic-tions of the FIH are: 1) highly encephalized speciesshould have weanlings that are less advanced den-tally than those of poorly encephalized species (i.e.,controlling for the effects of body size, cranial capac-ity should be negatively correlated with dental de-velopment at weaning); 2) because they do not needto acquire complex foraging skills, folivores shouldhave smaller brains than like-sized frugivores; and3) folivores should exhibit greater dental precocityand endowment at weaning than like-sized frugi-vores only to the extent that they have relativelysmaller brains and less complex social interactions.
There is no reason to expect any differences betweenthe dental precocities of folivores and frugivores atweaning once the effects of both cranial capacity andbody size have been controlled. Predictions commonto this and some other hypotheses are: 1) if weaningis early and if dental development at weaning ismore advanced in folivores than in like-sized frugi-vores, then dental development should be morerapid (on an absolute scale) in folivores than inlike-sized frugivores; 2) because they do not need asextended a period of time to learn foraging skills,folivores should wean their offspring earlier thanlike-sized frugivores; 3) given the shorter period re-quired for skill acquisition in folivores, folivoresshould exhibit earlier reproductive maturation thanlike-sized frugivores; and finally, 4) due to thesmaller group sizes and less complex social interac-tions of folivores, newly weaned folivores should bemore advanced dentally than newly weaned, like-sized frugivores.
The risk aversion hypothesis (RAH)
The premise of the risk aversion hypothesis is thatresource distribution and abundance covary withdiet, and affect the risk of starvation (Janson andvan Schaik, 1993; Leigh, 1994). Due to higher in-traspecific competition for scarce resources, juve-niles living in risky environments will be more likelyto die of starvation than juveniles living in low-riskenvironments. Slower growth reduces the probabil-ity of starvation, and is therefore favored by selec-tion for species exploiting risky food resources.
Some researchers have noted that the RAH ishard to test because the degree to which resourcesare actually limiting is often difficult to measure(Watts and Pusey, 1993). However, Leigh (1994)defended the RAH, using broad comparisons of fo-livorous and frugivorous anthropoids, on the explicitpresumption that the foods exploited by frugivoresare riskier than those eaten by folivores (Janson andvan Schaik, 1993). Leigh (1994) used growth curvesto test this hypothesis; the predictions of the RAHfor dental development were not tested. The soleunique prediction of the RAH is that the absoluterate of dental development should be inversely cor-related with age at first breeding; late maturersshould develop slowly (Table 2). In addition, if thekey to reduced predation mortality is rapid growthand maturation, folivores might be expected to weantheir young at an earlier age, and to mature earlierthan species relying on less predictable food re-sources. Rapid dental development should charac-terize folivores, but there is no reason to expectadvanced dental development at weaning, becausedental precocity at weaning is not the target of se-lection, and because weaning should also be early.
The food processing hypothesis (FPH)
The premise of the food processing hypothesis isthat the mechanical requirements of mastication co-
TEETH, BRAINS, AND PRIMATE LIFE HISTORIES 197
vary with diet. According to this hypothesis, selec-tion must prepare weanlings to process those solidfoods available to them at weaning or shortly there-after (Eaglen, 1985). Dental endowment and precoc-ity at weaning will therefore depend on the mechan-ical requirements for processing those foods. Thishypothesis predicts that dental development atweaning is directly targeted by selection. Folivorousweanlings need to be better equipped than frugivo-rous weanlings, not only because they must breakdown highly fibrous sheetlike foods, but becausethey tend to masticate (rather than discard or swal-low whole) seeds (Dew and Wright, 1998; Heming-way, 1996, 1998; Kirkpatrick, 1999; Overdorff andStrait, 1998). Differences in the morphology of thepermanent cheek teeth of folivores and frugivoreshave been studied in detail (Covert, 1986; Jungers etal., in press; Kay, 1978; Yamashita, 1998a,b). Foli-vores have molars with relatively higher and longershearing blades and larger crushing basins.
The FPH predicts that diet directly influencesdentition at weaning. This influence should be inde-pendent of age at weaning, brain size, or body size.Unless age at weaning is delayed in folivores, thedentitions of folivores and seed predators might beexpected to develop faster (on an absolute scale)than those of frugivores. Thus, folivores might beexpected to exhibit faster dental development thanfrugivores of similar body size. The unique predic-tions of the FPH are that: 1) folivores should exhibitfaster dental development on an absolute scale thanfrugivores of similar brain size; 2) with age at wean-ing controlled, folivores should exhibit more ad-vanced dental development at weaning than frugi-vores; and 3) with brain size controlled, folivoresshould exhibit more advanced dental developmentat weaning than frugivores.
The protein richness hypothesis (PRH)
The premise of the protein richness hypothesis isthat, because protein is essential for growth, therelative amount of protein in the diet influencesrates of growth and development (Glander, 1980;Froehlich et al., 1981). Species with diets high inprotein should experience rapid dental eruption as acorollary of rapid overall growth and maturation.Leaves, seeds, and insects are high in protein, andmight facilitate rapid growth. A caveat is that themain staple in the diet is not necessarily a goodindicator of the quality of the diet. As Wright (1999)notes, whereas anthropoid folivore milk is higher inprotein content than that of anthropoid frugivores,the same is not the case for folivorous vs. frugivorouslemurs.
If protein consumption is the primary determi-nant of rate of development, then folivores, seedpredators, and insectivores might be expected todevelop and mature more rapidly than frugivores ofcomparable adult body size. This hypothesis makesno prediction regarding dental development atweaning, but it does predict early weaning and first
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riab
leC
ontr
olle
dva
riab
ler
orpa
rtia
lr
N(N
eff.
)
Tes
tof
nu
llh
ypot
hes
isw
ith
Pva
lues
Wor
kin
gh
ypot
hes
issu
ppor
ted?
DC
HA
dult
/m
ass
isn
egat
ivel
yco
rrel
ated
wit
hpa
ceof
den
tal
deve
lopm
ent,
even
afte
rco
ntr
olli
ng
for
effe
cts
ofcr
ania
lca
paci
ty.
Den
tal
prec
ocit
yat
4m
onth
sL
ogad
ult
/m
ass
Log
cran
ial
capa
city
0.52
40(9
)0.
999
(0.9
21)
No
Den
tal
prec
ocit
yat
1ye
arL
ogad
ult
/m
ass
Log
cran
ial
capa
city
0.43
40(1
1)0.
997
(0.9
03)
No
Big
-bod
ied
spec
ies
hav
ew
ean
lin
gsth
atar
ele
ssde
nta
lly
adva
nce
dth
anw
ean
lin
gsof
smal
l-bo
died
spec
ies.
Den
tal
prec
ocit
yat
wea
nin
gL
ogad
ult
/m
ass
20.
1740
(14)
0.14
7(0
.276
)N
o
BP
HA
dult
/cr
ania
lca
paci
tyis
neg
ativ
ely
corr
elat
edw
ith
pace
ofde
nta
lde
velo
pmen
t,ev
enaf
ter
con
trol
lin
gfo
ref
fect
sof
body
size
.
Den
tal
prec
ocit
yat
4m
onth
sL
ogcr
ania
lca
paci
tyL
ogad
ult
/m
ass
20.
7740
(9)
0.00
0(0
.006
)Y
es,
stro
ngl
y
Den
tal
prec
ocit
yat
1ye
arL
ogcr
ania
lca
paci
tyL
ogad
ult
/m
ass
20.
6940
(11)
0.00
0(0
.008
)Y
es,
stro
ngl
y
Big
-bra
ined
spec
ies
hav
ew
ean
lin
gsth
atar
ele
ssde
nta
lly
adva
nce
dth
anw
ean
lin
gsof
smal
l-br
ain
edsp
ecie
s.
Den
tal
prec
ocit
yat
wea
nin
gL
ogcr
ania
lca
paci
ty2
0.31
40(1
4)0.
025
(0.1
33)
Yes
,m
oder
atel
y
1D
CH
,de
sign
con
stra
int
hyp
oth
esis
;B
PH
,br
ain
plei
otro
pyh
ypot
hes
is.
198 L.R. GODFREY ET AL.
TA
BL
E5.
Tes
tfo
rth
efo
ragi
ng
ind
epen
den
ceh
ypot
hes
is(u
niq
ue
pred
icti
ons
inbo
ld)
Pre
dict
ion
sof
wor
kin
gh
ypot
hes
isD
epen
den
tva
riab
leE
xpla
nat
ory
vari
able
Con
trol
led
vari
able
Par
tial
rN
(Nef
f.)
Tes
tof
nu
llh
ypot
hes
isw
ith
Pva
lues
Wor
kin
gh
ypot
hes
issu
ppor
ted?
Fol
ivor
esex
hib
itfa
ster
den
tal
deve
lopm
ent
than
doli
ke-s
ized
fru
givo
res.
Den
tal
prec
ocit
yat
4m
onth
sD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
0.61
35(8
)0.
000
(0.0
56)
Yes
,m
oder
atel
y
Den
tal
prec
ocit
yat
1ye
arD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
0.50
35(8
)0.
001
(0.1
10)
Yes
,m
oder
atel
y
Fol
ivor
esw
ean
thei
rof
fspr
ing
earl
ier
than
doli
ke-s
ized
fru
givo
res.
Age
atw
ean
ing
Die
t:fr
ugi
vore
svs
.fo
livo
res
Log
adu
lt/
mas
s2
0.35
35(9
)0.
013
(0.1
85)
Yes
,m
oder
atel
y
Fol
ivor
esre
prod
uct
ivel
ym
atu
reea
rlie
rth
ando
like
-siz
edfr
ugi
vore
s.
Age
at/
firs
tbr
eedi
ng
Die
t:fr
ugi
vore
svs
.fo
livo
res
Log
adu
lt/
mas
s2
0.32
35(9
)0.
030
(0.2
08)
Yes
,m
oder
atel
y
Fol
ivor
esex
hib
itm
ore
adva
nce
dde
nta
lde
velo
pmen
tat
wea
nin
gth
ando
like
-siz
edfr
ugi
vore
s.
Den
tal
prec
ocit
yat
wea
nin
gD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
0.45
35(1
8)0.
003
(0.0
30)
Yes
,st
ron
gly
Den
tal
endo
wm
ent
atw
ean
ing
Die
t:fr
ugi
vore
svs
.fo
livo
res
Log
adu
lt/
mas
s0.
3235
(19)
0.00
0(0
.092
)Y
es,
mod
erat
ely
Big
-bra
ined
spec
ies
hav
ele
ssad
van
ced
wea
nli
ngs
than
smal
l-b
rain
edsp
ecie
s,co
ntr
olli
ng
for
effe
cts
ofb
ody
size
.
Den
tal
pre
coci
tyat
wea
nin
gL
ogcr
ania
lca
pac
ity
Log
adu
lt/
mas
s2
0.52
40(1
3.33
)0.
000
(0.0
32)
Yes
,str
ongl
y
Den
tal
end
owm
ent
atw
ean
ing
Log
cran
ial
cap
acit
yL
ogad
ult
/m
ass
20.
3140
(14.
67)
0.02
5(0
.137
)Y
es,m
oder
atel
y
Fol
ivor
esh
ave
smal
ler
bra
ins
than
do
lik
e-si
zed
fru
givo
res.
Log
adu
lt/
cran
ial
cap
acit
yD
iet:
fru
givo
res
vs.f
oliv
ores
Log
adu
lt/
mas
s2
0.66
35(8
)0.
000
(0.0
38)
Yes
,str
ongl
y
Fol
ivor
esan
dfr
ugi
vore
sex
hib
itn
od
iffe
ren
cein
den
tal
dev
elop
men
tat
wea
nin
g,w
hen
effe
cts
ofb
oth
cran
ial
cap
acit
yan
db
ody
size
are
con
trol
led
(tes
tis
two-
tail
ed).
Den
tal
pre
coci
tyat
wea
nin
gD
iet:
fru
givo
res
vs.f
oliv
ores
Log
adu
lt/
mas
san
dlo
gcr
ania
lca
pac
ity
0.14
35(1
5.5)
0.43
4(0
.633
)Y
es,c
ann
otre
ject
nu
llh
ypot
hes
is
Den
tal
end
owm
ent
atw
ean
ing
Die
t:fr
ugi
vore
svs
.fol
ivor
esL
ogad
ult
/m
ass
and
log
cran
ial
cap
acit
y
0.10
35(1
6.25
)0.
578
(0.7
26)
Yes
,can
not
reje
ctn
ull
hyp
oth
esis
breeding in species with high protein diets (oncebody size is controlled). Its unique predictions per-tain to comparisons between insectivores and frugi-vores (Table 2).
RESULTS
Let us consider each of our hypotheses in light ofour data. The brain pleiotropy hypothesis does con-siderably better than the design constraint hypoth-esis at explaining variation in dental developmentamong primates (Table 4). Adult body size farespoorly in comparison to cranial capacity when usedto predict the pace of dental development. It is onlybecause adult body mass is correlated with othertraits (cranial capacity) that are more stronglylinked to dental development that it predicts thepace of dental development at all. Cranial capacityis the best predictor of dental precocity at 4 monthsand 1 year, as anticipated by Smith et al. (1994).
The shared predictions of the four dietary hypoth-eses tend to be moderately or strongly supported(Tables 5–8). The unique predictions of the foragingindependence hypothesis are also well supported bythe data (Table 5). They are that folivores havesmaller brains than like-sized frugivores, and that,once the effects of both cranial capacity and bodysize have been removed, there will be no differencebetween the dentitions of folivores and frugivores atweaning. Lemurs comprise an apparent exception tothe latter rule, however. Folivorous lemurs exhibitgreater precocity at weaning than do frugivorouslemurs, even after controlling for both brain andbody size (partial correlation 5 0.69, one-tailed P 50.019, N 5 10). This sample is too small to undergomeaningful discounting.
The unique predictions of the risk aversion hy-pothesis are not supported by our data (Table 6).There is little or no connection between age at firstbreeding and the pace of dental development, oncethe effects of body size are controlled. The predictedlink between the pace of reproductive and ecological(dental) maturation is not supported by our data.Furthermore, the RAH cannot account for the ob-served high dental precocity and endowment of foli-vores at weaning. Clearly, dental developmental ac-celeration is not solely part and parcel of a generalacceleration of growth and development in folivores.
The food processing hypothesis, that the mechan-ical requirements for food processing affect dentaldevelopment at weaning, is well supported by ourdata (Table 7). Folivorous weanlings tend to havehigh dental precocity and endowment, particularlywhen compared to like-sized, more frugivorous rel-atives. The unique predictions of the FPH (first, thatfolivore/seed predators will exhibit faster dental de-velopment than frugivores of similar brain size; andsecond, that with age at weaning controlled, folivore/seed predators will exhibit more advanced dentaldevelopment at weaning) are supported by our data.
The protein richness hypothesis, that the pace ofdevelopment depends on the amount of protein in
TA
BL
E6.
Tes
tof
the
risk
aver
sion
hyp
oth
esis
(un
iqu
epr
edic
tion
sin
bold
)
Pre
dict
ion
sof
wor
kin
gh
ypot
hes
isD
epen
den
tva
riab
leE
xpla
nat
ory
vari
able
Con
trol
led
vari
able
Par
tial
rN
(Nef
f.)
Tes
tof
nu
llh
ypot
hes
isw
ith
Pva
lues
Wor
kin
gh
ypot
hes
issu
ppor
ted?
Fol
ivor
esex
hib
itfa
ster
den
tal
deve
lopm
ent
than
doli
ke-s
ized
fru
givo
res.
Den
tal
prec
ocit
yat
4m
onth
sD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
0.61
35(8
)0.
000
(0.0
56)
Yes
,m
oder
atel
y
Den
tal
prec
ocit
yat
1ye
arD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
0.50
35(8
)0.
001
(0.1
10)
Yes
,m
oder
atel
y
Fol
ivor
esw
ean
thei
rof
fspr
ing
earl
ier
than
like
-si
zed
fru
givo
res.
Age
atw
ean
ing
Die
t:fr
ugi
vore
svs
.fo
livo
res
Log
adu
lt/
mas
s2
0.35
35(9
)0.
013
(0.1
85)
Yes
,m
oder
atel
y
Fol
ivor
esre
prod
uct
ivel
ym
atu
reea
rlie
rth
anli
ke-s
ized
fru
givo
res.
Age
atfi
rst
bree
din
gD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
20.
3235
(9)
0.03
0(0
.208
)Y
es,
mod
erat
ely
Lat
em
atu
rers
exh
ibit
slow
er(d
enta
l)d
evel
opm
ent
than
lik
e-si
zed
earl
ym
atu
rers
.
Den
tal
pre
coci
tyat
4m
onth
sA
geat
firs
tb
reed
ing
Log
adu
lt/
mas
s2
0.14
40(9
)0.
195
(0.3
65)
No
Den
tal
pre
coci
tyat
1ye
arA
geat
firs
tb
reed
ing
Log
adu
lt/
mas
s0.
0940
(11)
0.29
2(0
.362
)N
o
200 L.R. GODFREY ET AL.
TA
BL
E7.
Tes
tof
food
proc
essi
ng
hyp
oth
esis
(un
iqu
epr
edic
tion
sin
bold
)
Pre
dict
ion
sof
wor
kin
gh
ypot
hes
isD
epen
den
tva
riab
leE
xpla
nat
ory
vari
able
Con
trol
led
vari
able
Par
tial
rN
(Nef
f.)
Tes
tof
nu
llh
ypot
hes
isw
ith
Pva
lues
Wor
kin
gh
ypot
hes
issu
ppor
ted?
Fol
ivor
esex
hib
itfa
ster
den
tal
deve
lopm
ent
than
doli
ke-s
ized
fru
givo
res.
Den
tal
prec
ocit
yat
4m
onth
sD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
0.61
35(8
)0.
000
(0.0
56)
Yes
,m
oder
atel
y
Den
tal
prec
ocit
yat
1ye
arD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
0.50
35(8
)0.
001
(0.1
10)
Yes
,m
oder
atel
y
Fol
ivor
esex
hib
itm
ore
adva
nce
dde
nta
lde
velo
pmen
tat
wea
nin
gth
ando
like
-siz
edfr
ugi
vore
s.
Den
tal
prec
ocit
yat
wea
nin
gD
iet:
fru
givo
res
vs.
foli
vore
sL
ogad
ult
/m
ass
0.45
35(1
8)0.
003
(0.0
30)
Yes
,st
ron
gly
Den
tal
endo
wm
ent
atw
ean
ing
Die
t:fr
ugi
vore
svs
.fo
livo
res
Log
adu
lt/
mas
s0.
3235
(19)
0.00
0(0
.092
)Y
es,
mod
erat
ely
Fol
ivor
esex
hib
itfa
ster
den
tal
dev
elop
men
tth
and
ofr
ugi
vore
sof
sim
ilar
bra
insi
ze.
Den
tal
pre
coci
tyat
4m
onth
sD
iet:
fru
givo
res
vs.f
oliv
ores
Log
cran
ial
cap
acit
y0.
4635
(8)
0.00
3(0
.133
)Y
es,m
oder
atel
y
Den
tal
pre
coci
tyat
1ye
arD
iet:
fru
givo
res
vs.f
oliv
ores
Log
cran
ial
cap
acit
y0.
3635
(8)
0.01
7(0
.200
)Y
es,m
oder
atel
y
Fol
ivor
esex
hib
itm
ore
adva
nce
dd
enta
ld
evel
opm
ent
atw
ean
ing
than
do
fru
givo
res,
con
trol
lin
gfo
rag
eat
wea
nin
g.
Den
tal
pre
coci
tyat
wea
nin
gD
iet:
fru
givo
res
vs.f
oliv
ores
Age
atw
ean
ing
0.46
35(1
7.67
)0.
003
(0.0
29)
Yes
,str
ongl
y
Den
tal
end
owm
ent
atw
ean
ing
Die
t:fr
ugi
vore
svs
.fol
ivor
es
Age
atw
ean
ing
0.33
35(1
8.67
)0.
026
(0.0
88)
Yes
,mod
erat
ely
Fol
ivor
esex
hib
itm
ore
adva
nce
dd
enta
ld
evel
opm
ent
atw
ean
ing
than
do
fru
givo
res
ofsi
mil
arb
rain
size
.
Den
tal
pre
coci
tyat
wea
nin
gD
iet:
fru
givo
res
vs.f
oliv
ores
Log
cran
ial
cap
acit
y0.
4135
(17.
33)
0.00
7(0
.049
)Y
es,s
tron
gly
Den
tal
end
owm
ent
atw
ean
ing
Die
t:fr
ugi
vore
svs
.fol
ivor
es
Log
cran
ial
cap
acit
y0.
2635
(18.
33)
0.06
6(0
.149
)Y
es,w
eak
ly
the diet, receives mixed support (Table 8). On theone hand, it is generally true that species feeding onlarge amounts of insects, seeds, or foliage developquickly. However, these species are also typicallyeither small-bodied or small-brained. The uniquepredictions of the PRH are poorly supported by ourdata. Against expectations, controlling for the ef-fects of body size, insectivores do not wean theiroffspring earlier than frugivores. Also against expec-tations, controlling for body size, there is no indica-tion that insectivores mature earlier than frugi-vores. The prediction that insectivores shouldexhibit faster dental development (on an absolutescale) than “like-sized” frugivores receives equivocalsupport.
An important consideration is the special role ofage at weaning. Whereas age at weaning is betterpredicted by brain than by body size, it remainssignificantly correlated with age at first breeding,even after the effects of both log brain and log bodysize are controlled.2 It appears that selection caneffect changes in the timing of reproductive eventsthat are independent of size. It can also alter theplasticity of reproductive timing. In some species,weaning is sharply constrained phenologically (relemurs, see Sauther, 1991; Wright, 1997, 1999). Inothers, weaning is far less constrained. A case inpoint is Pongo pygmaeus. Its “age at weaning” hasbeen reported as 1.12 years (Ross and Jones, 1999),3.5 years (Lee, 1999), and between 6–8 years(Markham, 1994). Even when “weaning” is preciselydefined as the transition from life-sustaining to in-cidental dependency on the mother, its timing can beplastic (discussed in Lee, 1966, 1999). Weaning andreproductive maturation are affected by extrinsicvariables (such as predation, available resources,climate; see Wolfe, 1986; Boinski, 1987; Lee et al.,1991; Lee, 1996) as well as the intrinsic variables(such as brain and body size) that we have beenexploring here.
As might be expected (given the positive correla-tion between age at weaning and brain or body size,and the negative correlation between age at wean-ing and the pace of dental development), the ratio ofdental development at weaning to age at weaningcovaries inversely with brain and body size in pri-mates (Fig. 1). Its correlation with cranial capacityis far tighter than that with body size. What is ofinterest to us here is the tendency for folivores indiverse clades to exhibit higher values for this ratio
2Partial correlation 5 0.88, N 5 40, one-tailed P , 0.0001 with 36degrees of freedom; Neff. 5 11, P , 0.001 with 7 degrees of freedom.
Fig. 1. a: Scatterplot of log10 (dental precocity at weaning/age atweaning) vs. log10 (adult female mass). Triangles are insectivores,squares are frugivores, and circles are folivores (solid circles areIndridae). b: Scatterplot of log10 (dental precocity at weaning/age atweaning) vs. log10 (adult female cranial capacity). Triangles are in-sectivores, squares are frugivores, and circles are folivores (solid cir-cles are Indridae).
TA
BL
E8.
Tes
tof
prot
ein
rich
nes
sh
ypot
hes
is(u
niq
ue
pred
icti
ons
inbo
ld)
Pre
dict
ion
sof
wor
kin
gh
ypot
hes
isD
epen
den
tva
riab
leE
xpla
nat
ory
vari
able
Con
trol
led
vari
able
Par
tial
rN
(Nef
f.)
Tes
tof
nu
llh
ypot
hes
isw
ith
Pva
lues
Wor
kin
gh
ypot
hes
issu
ppor
ted?
Fol
ivor
esex
hib
itfa
ster
den
tal
deve
lopm
ent
than
doli
ke-s
ized
fru
givo
res.
Den
tal
prec
ocit
yat
4m
onth
sD
iet:
fru
givo
res
vs.
foli
vore
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0.61
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Yes
,m
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tal
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Yes
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Fol
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Yes
,m
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Fol
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prod
uct
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ym
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ando
like
-siz
edfr
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ugi
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adu
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35(9
)0.
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08)
Yes
,m
oder
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Inse
ctiv
ores
wea
nth
eir
offs
pri
ng
earl
ier
than
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atw
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esvs
.fru
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adu
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996
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31)
No
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ctiv
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rep
rod
uct
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ym
atu
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and
oli
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989
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00)
No
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exh
ibit
fast
erd
enta
ld
evel
opm
ent
than
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Den
tal
pre
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onth
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iet:
inse
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vs.f
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/m
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20.
0322
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0.55
2(0
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o
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iet:
inse
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3822
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0.04
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)Y
es,m
oder
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y
202 L.R. GODFREY ET AL.
than do closely related frugivores. This difference isnot a function of body size (Fig. 1a); and as particu-larly high positive transpositions for the leaf- andseed-eating Indridae demonstrate (Fig. 1b), it is notentirely a function of brain size.
Finally, we note that, whereas folivores tend toexhibit greater dental endowment as well as greaterprecocity at weaning than do like-sized frugivores,the signal tends to be stronger for precocity than forendowment. Because the milk dentitions of frugi-vores must be functional over a longer period oftime, and because the milk teeth of frugivores formin relatively larger jaws (due to their relatively re-tarded eruption schedule), the milk teeth of frugi-vores tend to be large. Folivores, on the other hand,tend to have relatively larger permanent molars(Kay, 1978; Godfrey et al., in press, a).
CONCLUSIONS
We examined a number of hypotheses regardingthe absolute pace of dental development, i.e., thatdental development will be rapid in species thatexhibit: 1) small adult body size (design constrainthypothesis); 2) low cranial capacity (brain pleiotropyhypothesis); 3) rapid acquisition of foraging indepen-dence, coupled with low encephalization, and lowperi- and postweaning parental investment (forag-ing independence hypothesis); 4) a low risk of star-vation due to intraspecific competition for food re-sources, coupled with a relatively high risk ofjuvenile mortality due to predation (risk aversionhypothesis); 5) a diet that is high in fibrous leafymaterial and/or seeds, and requiring extensive pro-cessing (food processing hypothesis); and 6) a dietthat is rich in protein (protein richness hypothesis).Several of these hypotheses also predict high dentalendowment and precocity in folivores at weaning.They thus converge in predicting accelerated dentaldevelopment in folivores on both absolute and rela-tive scales. Our data show that brain size is a betterpredictor of dental development than body size.However, they also affirm the insufficiency of cranialcapacity as a predictor of dental development; thecomplexity of the absolute and relative pace of den-tal development in primates is more than any singlefactor can bear.
In particular, we found that diet affects the abso-lute pace of dental development, independent ofbody size, age at first breeding, and cranial capacity.Folivores generally have more accelerated dentaldevelopmental schedules than do comparably sizedfrugivores. But their accelerated dental develop-ment is not a mere consequence of a general patternof life history acceleration in more folivorous taxa.Dental development in folivorous species also tendsto be more advanced at weaning. Neither cranialcapacity nor body size alone can account for thevariation in the absolute or relative pace of dentaleruption across all primate taxa. The advanced stateof the dentitions of folivores at weaning (with vari-ation in size and age at weaning controlled) suggests
that the state of dental development at weaning canbe the direct target of selection; the mechanics offood processing may have an important effect ondental ontogeny. In general, our data offer the stron-gest support for the foraging independence and thefood processing hypotheses, and equivocal supportfor the other dietary hypotheses. The (perhaps dif-ferent) contributions of learning, food processing,and environmental risk to dental development inmembers of diverse primate clades are certainlyworthy of future investigation.
ACKNOWLEDGMENTS
This project would not have been possible withoutthe assistance of numerous people. For help in sup-plying specimens or unpublished data, we are in-debted to David Archibald, Jacqui Bowman, G. GrayEaton, Jack Fooden, Kenneth Glander, ChristinaGrassi, David Haring, Claire Hemingway, MitchellIrwin, Karin Isler, Stephen King, Steven Leigh,Lawrence Martin, Robert Martin, Leanne Nash,Sheila O’Connor, J. Michael Plavcan, Alison Rich-ard, Elwyn Simons, Chia Tan, Michael Van Patten,and Patricia Wright. Data were compiled from therecords of and/or specimens at the following facili-ties: American Museum of Natural History, NewYork; Anthropologisches Institut und Museum, Zu-rich; Aukland Zoological Park; California PrimateResearch Center, Davis; Columbus Zoological Gar-den; Dallas Zoo; Department of Anthropology, Uni-versity of Massachusetts, Amherst; Duke UniversityPrimate Center; Field Museum of Natural History,Chicago; Hogle Zoo of Utah; Houston Zoological Gar-dens; Laboratoire de Paleontologie des Vertebres,Universite d’Antananarivo, Madagascar; Labora-toire de Zoologie, Museum National d’Histoire Na-turelle, Paris; Lowry Park; Museum of ComparativeZoology at Harvard University; Nationaal Natuur-historisch Museum, Leiden; Natural History Mu-seum, London; Oregon Regional Primate Center;Parc Ivoloina; Parc Tsimbazaza; Pittsburgh Zoo; Ra-nomafana National Park; San Diego State Univer-sity; San Diego Zoo; State University of New York atStony Brook; Smithsonian Institution; WoodlandPark Zoological Gardens; and the Yerkes RegionalPrimate Center. This research was supported inpart by NSF GER 9450175 to L.R.G., and NSF SBR-9630350 to Elwyn Simons and the Statistical Con-sulting Center of the University of Massachusetts.Special thanks are owed to the curators of collec-tions, anonymous reviewers, and Darren Godfrey,who produced Figure 1.
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TEETH, BRAINS, AND PRIMATE LIFE HISTORIES 209
APPENDIX A. Life history data, including postcanine dentition at selected ages and life cycle stages(teeth in parentheses may be erupting)
TaxonAdult mass,
(kg)
Adult /cranial
capacity (cc)
Postcaninedentition at
4 months
Postcaninedentition at
1 year
Age atweaning,in years
Postcaninedentition at
weaning
Age at / firstbreeding, in
years
Propithecustattersalli
3.39 ? 30.5 dp2 dp33 dp4
4 P3 P2 P44 M1
1 0.42 dp2 dp3 P44 M1
1 4.53.5 / M1
1 (M22) M2
2 M33 M2
2
Propithecusverreauxi
3.48 ? 29.7 dp2 dp33 dp4
4 P3 P2 P44 M1
1 0.50 dp2 dp3 dp44 4.57
3.62 / M11 (M2
2) M22 M3
3 M11 M2
2 (P44)
Propithecus diadema 5.94 ? 40.0 dp2 dp33 dp4
4 P3 P2 P44 M1
1 0.50 dp2 dp3 dp44 4.51
6.26 / M11 M2
2 M33 M1
1 M22 (P4
4)Avahi laniger 0.92 ? 9.8 P3 P2 P4
4 P3 P2 P44 M1
1 0.41 P3 P2 P44 M1
1 2.581.05 / M2
1 M22 M2
2 M33 M2
2
Varecia variegata 3.63 ? 31.2 dp22 dp3
3 dp44 dp2
2 dp33 dp4
4 0.40 dp22 dp3
3 dp44 2.72
3.52 / M11 M2
2
Hapalemur griseus 0.748 ? 14.6 dp22 dp3
3 dp44 dp2
2 dp33 dp4
4 0.33 dp22 dp3
3 dp44 2.73
0.670 / M11 M2
2 (P44)
Lemur catta 2.21 ? 23.4 dp22 dp3
3 dp44 dp2
2 dp33 dp4
4 0.49 dp22 dp3
3 dp44 2.63
2.21 / (M1) M11 M2
2 (P4) M11
Eulemur macaco 2.37 ? 24.6 dp22 dp3
3 dp44 dp2
2 dp33 dp4
4 0.37 dp22 dp3
3 dp44 1.66
2.51 / M11 M2
2 (M1)Eulemur fulvus 2.18 ? 25.6 dp2
2 dp33 dp4
4 dp22 dp3
3 dp44 0.50 dp2
2 dp33 dp4
4 2.662.25 / M1
1 (M22) (M1
1)Lepilemur
ruficaudatus0.761 ? 7.4 dp2
2 dp33 dp4
4 P22 P3
3 P44 0.33 dp2
2 dp33 dp4
4 1.630.779 / M1
1 M22 (M3
3
P44)
M11 M2
2 M33 M1
1 M22 (M3
3 P44)
Galago moholi 0.187 ? 3.6 P22 dp3
3 P44 P2
2 P33 P4
4 0.23 dp22 dp3
3 dp44 0.71
0.173 / M11 M2
2 M33 M1
1 M22 M3
3 M11 M2
2 M33 (P2
2)Callithrix jacchus 0.362 ? 7.7 dp2
2 dp33 dp4
4 P22 P3
3 P44 0.21 dp2
2 dp33 dp4
4 1.670.381 / M1
1 M11 M2
2
Saguinus nigricollis 0.468 ? 8.9 dp22 dp3
3 dp44 P2
2 P33 P4
4 0.21 dp22 dp3
3 dp44 2.33
0.484 / M11 M1
1 M22
Saguinus fuscicollis 0.343 ? 8.2 dp22 dp3
3 dp44 P2
2 P33 P4
4 0.25 dp22 dp3
3 dp44 2.33
0.358 / M11 M2
2
Saimiri sciureus 0.779 ? 23.2 dp22 dp3
3 dp44 dp2
2 dp33 dp4
4 0.50 dp22 dp3
3 dp44 2.50
0.662 / M11 M2
2 M11
Cebus albifrons 3.18 ? 56.8 dp22 dp3
3 dp22 dp3
3 dp44 0.75 dp2
2 dp33 dp4
4 4.002.29 / (M1
1)Cebus apella 3.65 ? 63.1 dp2
2 dp33 dp2
2 dp33 dp4
4 1.14 dp22 dp3
3 dp44 5.78
2.52 / (M11)
Aotus trivirgatus 0.813 ? 16.1 dp22 dp3
3 dp44 dp2
2 P33 P4
4 0.49 dp22 dp3
3 dp44 2.42
0.736 / M11 M2
2 M33 M1
1
Alouatta palliata 7.16 ? 55.4 dp22 dp3
3 dp44 dp2
2 dp33 dp4
4 0.89 dp22 dp3
3 dp44 3.99
5.33 / M11 M1
1
Alouatta caraya 6.42 ? 47.9 dp22 dp3
3 dp44 dp2
2 dp33 dp4
4 0.89 dp22 dp3
3 dp44 3.71
4.33 / M11 M2
2 (M11)
Ateles geoffroyi 7.78 ? 106.4 dp22 dp3
3 dp22 dp3
3 dp44 2.25 dp2
2 dp33 dp4
4 6.397.29 / M1
1 M11 M2
2
Chlorocebus aethiops 4.26 ? 59.2 dp33 dp4
4 dp33 dp4
4 M11 0.60 dp3
3 dp44 4.75
2.98 /Macaca fascicularis 5.36 ? 62.5 dp3
3 dp33 dp4
4 1.17 dp33 dp4
4 3.903.59 /
Macaca mulatta 10.61 ? 81.3 dp33 dp3
3 dp44 0.88 dp3
3 dp44 4.19
7.97 /Macaca nemestrina 11.2 ? 96.2 dp3
3 dp33 dp4
4 1.00 dp33 dp4
4 3.906.5 /
Papio cynocephalus(excluding kindae)
24.9 ? 145.5 (dp3) dp33 dp4
4 1.25 dp33 dp4
4 5.5013.6 /
Papio anubis 25.1 ? 158.9 (dp3) dp33 dp4
4 1.6 dp33 dp4
4 4.5013.3 /
Kasi vetulus 8.2 ? 56.6 dp33 dp4
4 dp33 dp4
4 0.60 dp33 dp4
4 4.05.9 / (M1
1)Semnopithecus
entellus15.3 ? 98.2 dp3
3 dp33 dp4
4 1.14 dp33 dp4
4 3.9010.9 / (M1
1) (M11)
Trachypithecusfrancoisi
8.0 ? 66.9 dp33 dp4
4 dp33 dp4
4 M11 1.08 dp3
3 dp44 M1
1 4.07.3 / (M2
2) (M22)
Trachypithecuscristata
6.61 ? 54.5 dp33 dp4
4 dp33 dp4
4 M11 1.0 dp3
3 dp44 M1
1 4.05.76 /
Trachypithecusobscura
7.9 ? 60.8 dp33 dp3
3 dp44 1.00 dp3
3 dp44 4.0
6.26 / (M11) (M1
1)Nasalis larvatus 20.39 ? 82.8 dp3
3 dp44 dp3
3 dp44 M1
1 0.77 dp33 dp4
4 4.59.83 ?
(Continued)
210 L.R. GODFREY ET AL.
APPENDIX A
TaxonAdult mass,
(kg)
Adult /cranial
capacity (cc)
Postcaninedentition at
4 months
Postcaninedentition at
1 year
Age atweaning,in years
Postcaninedentition at
weaning
Age at / firstbreeding, in
years
Piliocolobus badius 12.3 ? 64.8 dp33 dp4
4 dp33 dp4
4 M11 1.43 dp3
3 dp44 M1
1 4.088.25 / M2
2 M22 (P3
3 P44)
Colobus guereza 13.5 ? 69.0 dp33 dp4
4 dp33 dp4
4 M11 1.08 dp3
3 dp44 M1
1 4.759.2 / (M2
2) (M22)
Hylobates lar 5.90 ? 102.2 dp33 dp3
3 dp44 1.50 dp3
3 dp44 6.69
5.34 /Hylobates
syndactylus11.9 ? 113.5 dp3
3 dp33 dp4
4 1.75 dp33 dp4
4 M11 5.18
10.7 /Pongo pygmaeus 78.2 ? 374.5 dp3
3 dp44 5.0 dp3
3 dp44 M1
1 14.3235.7 / M2
2
Pan troglodytes 49.6 ? 371.1 dp33 dp4
4 5.0 dp33 dp4
4 M11 13.90
40.4 /Gorilla gorilla 169.4 ? 455.6 dp3
3 dp44 3.5 dp3
3 dp44 M1
1 10.380.0 /
APPENDIX B. Sources for life history data, cranial capacities, and dental schedules, with notes
Genus and species Notes Sources
P. tattersalli Estimates uncertain due to small sample size.Sample includes one immature captivespecimen of known age. Dentition at 1 yearand age at first breeding estimated on basis ofgrowth records and comparisons with P.verreauxi and P. diadema. Cranial capacitybased on single adult male specimen atAmerican Museum of Natural History.
Meyers (1993), Meyers and Wright (1993), Ravosa et al.(1993), and growth records of Duke University PrimateCenter.
Propithecus verreauxi Dental eruption schedule reconstructed usingEaglen (1985), Smith et al. (1994), captivespecimens of known age, and immature wild-caught specimens aged on basis of collectiondate. Mean cranial capacity calculated forpooled sexes.
Eaglen (1984), Garbutt (1999), Martin (1990), Ravosa etal. (1993), Richard et al. (1993), Roberts (1994), Smithet al. (1994), Stephan et al. (1981), and records of DukeUniversity Primate Center.
Propithecus diadema Dental eruption schedule reconstructed usingcaptive and wild specimens of known age, andimmature wild-caught specimens aged onbasis of collection date. Adult body masscalculated for pooled subspecies.
Glander et al. (1992), Meyers and Wright (1993), Miller(1997), Powzyk (1996), Smith and Jungers (1997),Wright (1995), and personal communication from ClaireHemingway and Patricia Wright.
Avahi laniger Dental eruption schedule reconstructed usingimmature wild-caught specimens aged onbasis of collection date. Age at female firstbreeding estimated using estimates of age atfirst emigration from social group andgestation length, assuming reproductivesynchrony. Cranial capacity based on pooledsexes.
Albignac (1981), Glander et al. (1992), Martin (1990),Petter-Rousseaux (1962), and personal communicationfrom Patricia Wright.
Varecia variegata Dental eruption schedule reconstructed usingSmith et al. (1994), Eaglen (1985), captivespecimens of known age and immature wild-caught specimens aged on basis of collectiondate. Body mass values based on V. v.variegata.
Brockman et al. (1987), Cartmill et al. (1979), Eaglen(1985), Foerg (1982), Garbutt (1999), Miller (1997),Smith et al. (1994), Terranova and Coffman (1997), andrecords of Duke University Primate Center and ParcTsimbazaza.
Hapalemur griseus Dental eruption schedule reconstructed usingimmature wild-caught specimens aged onbasis of collection date.
Garbutt (1999), Tan (1999a,b), Wright (1990), andpersonal communication from Christina Grassi andChia Tan.
Lemur catta Dental eruption schedule reconstructed usingdata from Eaglen (1985), Smith et al. (1994),captive specimens of known age, andimmature wild-caught specimens aged onbasis of collection date.
Eaglen (1985), Gould et al. (1999), Hrdlicka (1925),Klopfer and Boskoff (1979), Mittermeier et al. (1994),Pereira (1993), Rasamimanana and Rafindinarivo(1993), Smith et al. (1994), Sussman (1991, 1992), andrecords of Duke University Primate Center and ZurichZoo.
Eulemur macaco Dental eruption schedule reconstructed usingSmith et al. (1994), Eaglen (1985), captivespecimens of known age, and immature wild-caught specimens aged on basis of collectiondate. Body mass based on means for the twosubspecies, captive individuals.
Colquhoun (1993), Eaglen (1985), Roberts (1994), Smith(1908), Smith et al. (1994), Smith and Jungers (1997),and records of Duke University Primate Center,Ivoloina and Oregon Regional Primate Center.
(Continued)
TEETH, BRAINS, AND PRIMATE LIFE HISTORIES 211
APPENDIX A (Continued)
Genus and species Notes Sources
Eulemur fulvus Dental eruption schedule reconstructed usingEaglen (1985), Smith et al. (1994), captivespecimens of known age, and immature wild-caught specimens aged on basis of collectiondate. Body mass values based on means for E.f. rufus. Adult female cranial capacity basedon Smith (1908) and unpublished data fromthe United States National Museum.
Eaglen (1985), Eisenberg (1981), Glander et al. (1992),Kappeler and Ganzhorn (1993), Overdorff et al. (1999),Roberts (1994), Smith (1908), Smith et al. (1994), andrecords of Ivoloina, Duke University Primate Center,and Indianapolis Zoo.
Lepilemurruficaudatus
Dental eruption schedule reconstructed usingimmature wild-caught specimens aged onbasis of collection date. Estimate for weaningbased on value reported for “L. mustelinus.”
Bauchot and Stephan (1966), Garbutt (1999), Nash(1993), Peter et al. (1977), Schmid and Ganzhorn(1996), Smith and Jungers (1997).
Galago moholi Dental eruption schedule reconstructed usingimmature wild-caught specimens aged onbasis of collection date or mass, and known-aged captive specimens, plus data in Smith etal. (1994) and comparisons to G. senegalensisgrowth records.
Doyle (1979), Harcourt and Bearder (1989), Izard andNash (1988), Kirkwood and Strathatos (1992), Nash(1993), Skinner and Smithers (1990), Smith et al.(1994), Van Horn and Eaton (1979).
Callithrix jacchus Dental eruption schedule from Smith et al.(1994), Swindler (1976), and Winter (1978).
Epple (1970), Goss (1984), Hearn (1982), Johnston et al.(1970), Kuster (1983), Miller (1997), Ross (1991), Smithet al. (1994), Swindler (1976), Winter (1978).
Saguinus nigricollis Dental eruption schedule from Chase andCooper (1969) and Smith et al. (1994). Age atfemale first breeding estimated on basis ofpublished values for closely related S.fuscicollis. Cranial capacity based on pooledsex data.
Chase and Cooper (1969), Harvey et al. (1987),Hernandez-Camacho and Defler (1985), Hershkovitz(1977), Ross and Jones (1999), Smith et al. (1994),Smith et al. (1995), Snowdon and Soini (1988).
S. fuscicollis Dental eruption schedule based on Smith etal. (1994) and Snowdon and Soini (1988).Cranial capacity based on pooled sex data.
Harvey et al. (1987), Ross and Jones (1999), Smith etal. (1994), Smith et al. (1995), Snowdon and Soini(1988).
Saimiri sciureus Data on dental eruption from Galliari andColillas (1985), Hershkovitz (1977), and Smithet al. (1994).
Baldwin and Baldwin (1981), Baldwin (1985), Galliariand Colillas (1985), Hershkovitz (1977), Kinzey (1997),Middleton and Rosal (1972), Miller (1997), Smith et al.(1994).
Cebus albifrons Data on dental eruption from Fleagle andSchaffler (1982).
Fleagle and Schaffler (1982), Hernandez-Camacho andDefler (1985), Miller (1997), Ross (1991), Smith andJungers (1997), Wilen and Naftolin (1978).
Cebus apella Data on dental eruption from Galliari (1985)and Smith et al. (1994)
Ayers (1986), Eisenberg (1989), Fleagle andMittermeier (1980), Fragaszy and Adams-Curtis (1997),Fragaszy and Bard (1997), Galliari (1985), Hernandez-Camacho and Defler (1985), Miller (1997), Patino et al.(1996), Robinson and Janson (1987), Ross (1991); Smithand Jungers (1997).
Aotus trivirgatus Data on dental eruption are from Hall et al.(1979). Data on weaning are taken fromrecords compiled at Woodland Park ZoologicalGardens.
Hall et al. (1979), Kinzey (1997), Miller (1997), Ross(1991), Smith and Jungers (1997), Wright (1984, 1997).
Alouatta palliata Dental eruption schedule inferred from datapresented by Froehlich et al. (1981), Glander(1980), and Neville et al. (1988).
Clarke (1990), Froehlich et al. (1981), Fedigan and Rose(1995), Glander (1980), Glander et al. (1991), Hartwig(1996), Kinzey (1997), Neville et al. (1988), Peres(1994), Smith and Jungers (1997), Thorington et al.(1979).
A. caraya Dental eruption schedule inferred from datapresented by Malinow et al. (1968) andNeville et al. (1988).
Malinow et al. (1968), Miller (1997), Neville et al.(1988), Ross and Jones (1999), Rumiz (1990), andrecords of Cheyenne Mountain Zoological Park andAudobon Park and Zoological Gardens.
Ateles geoffroyi Dental eruption schedule inferred on basis ofpublished comparisons with Cebus as well asa few records for Ateles geoffroyi (Carpenter,1935; Miles, 1967; Smith et al., 1994; Sodaro,1993). Dentition at weaning estimated onbasis of eruption schedule for Cebus coupledwith late age at weaning in Ateles.
Carpenter (1935), Chapman (1987), Eisenberg (1981),Fedigan and Rose (1995), Glander et al. (1991), Miles(1967), Miller (1997), Milton (1981), Robinson andJanson (1987), Schultz (1941), Smith et al. (1994),Sodaro (1993), Strier (1999), van Roosmalen (1985), andrecords of Pittsburgh Zoo.
Chlorocebus aethiops Dental eruption schedule from Smith et al.(1994) and Ockerse (1959)
Butynski (1988), Kushner et al. (1982), Melnick andPearl (1987), Miller (1997), Ockerse (1995), Ross (1991),Smith et al. (1994), Turner et al. (1994).
Macaca fascicularis Dental eruption schedule from Smith et al.(1994) and Iwamoto et al. (1984).
Fooden (1995), Harvey et al. (1987), Iwamoto et al.(1984), Miller (1997), Ross (1991), Smith et al. (1994).
(Continued)
212 L.R. GODFREY ET AL.
APPENDIX B (Continued)
Genus and species Notes Sources
M. mulatta Dental eruption schedule from Smith et al.(1994) and Hurme and van Wagenen (1953).
Goo and Fugate (1984) Haddidian and Bernstein(1979), Hurme and van Wagenen (1953), Lindburg(1977), Melnick and Pearl (1987), Miller (1997), Napier(1981), Ross (1991), Schwartz and Kemnitz (1992),Smith et al. (1994), Treves (1996).
M. nemestrina Dental eruption schedule from Smith et al.(1994) and Sirianni and Swindler (1985).
Fooden (1975), Harvey et al. (1987), Miller (1997), Ross(1991), Sirianni and Swindler (1985).
Papio cynocephalus Dental eruption schedule from Smith et al.(1994) and Siegel and Sciulli (1973).
Bentley-Condit and Smith (1997), Lee (1999), Miller(1997), Napier (1981), Ross (1991), Siegel and Sciulli(1973), Smith et al. (1994).
Papio anubis Dental eruption schedule from Smith et al.(1994).
Eley et al. (1989), Gest and Siegel (1983), Lee (1999),Miller (1997), Melnick and Pearl (1987), Popp (1983),Smith et al. (1994).
Kasi vetulus Dental schedule reconstructed using data onbody mass, coat color, Hill (1937), Leigh’s(1994) growth curves, and Smith et al. (1994).
Harvey et al. (1987), Hladik (1977), Hill (1934, 1937),Leigh (1994), Miller (1997), Napier (1985), Rudran(1973), Smith et al. (1994), Smith and Jungers (1997).
Semnopithecusentellus
Dental schedule reconstructed using data onbody mass, coat color (Sugiyama, 1965; Jay,1965; Winkler et al., 1984), Leigh’s (1994)growth curves, and known-aged captiveindividuals from collections of San DiegoState University and California PrimateResearch Center at Davis.
Hrdy (1980), Jay (1965), Leigh (1994), Miller (1997),Napier (1985), Sommer et al. (1992), Struhsaker andLeland (1987), Sugiyama (1965), Willis (1995), Winkleret al. (1984).
Trachypithecusfrancoisi
Dental schedule uncertain due to smallavailable sample of skulls. Known-agedindividuals housed at San Diego StateUniversity establish accelerated dentaleruption schedule. Cranial capacity estimatedusing regression analysis of adult / cranialvolume on adult / skull size for colobinesonly.
Gibson and Chu (1992), Willis (1995), and records ofSan Diego State University.
Trachypithecuscristata
Age at weaning and first breeding wereestimated on basis of review by Brandon-Jones (1985). Dental schedule reconstructedusing data on body mass, coat color(Bernstein, 1968; Payne and Francis, 1985),and Leigh’s (1994) growth curves.
Bernstein (1968), Brandon-Jones (1985), Leigh (1994),Medway (1970), Miller (1997), Payne and Francis(1985), Willis (1995), and personal communication fromJacqui Browman.
Trachypithecusobscura
Dental schedules were reconstructed usingdata on body mass, coat color, Leigh’s (1994)growth curves, one known-aged individualfrom Anthropological Institute and Museumin Zurich, and observations by Horwich(1974). Age at weaning and female firstbreeding estimated on basis of review byBrandon-Jones (1985).
Brandon-Jones (1985), Curtin and Chivers (1978),Horwich (1974), Leigh (1994), Miller (1997), Smith andJungers (1997).
Nasalis larvatus Dental schedule reconstructed using data onbody mass, coat color (Brandon-Jones, 1985;Payne and Francis, 1985), and Ruedi (1981)growth curves. On the basis of an observationby Schultz (1942) that actually pertains tomacaques, Napier (1985) incorrectly reportsfull eruption of the permanent dentition at 7years. Schultz (1942) actually states thatdental eruption in female proboscis monkeysis complete prior to sexual maturation.
Brandon-Jones (1985), Hollihn (1973), Kirkwood andStathatos (1992), Miller (1997), Payne and Francis(1985), Pournelle (1967), Ross (1992), Ruedi (1981),Schultz (1942), Smith and Jungers (1997).
Colobus guereza Dental schedule reconstructed using data onbody mass (Natural History Museum,London), coat color (Crandall, 1964; Horwichand Manski, 1975; Leskes and Acheson, 1971;Wooldridge, 1971), and Leigh’s (1994) growthcurves.
Crandall (1964), Harvey et al. (1987), Horwich andManski (1975), Leigh (1994), Leskes and Acheson(1971), Miller (1997), Oates et al. (1994), Ross andJones (1999), Smith and Jungers (1997), Wooldridge(1971), and records of Colombus Zoological Gardens.
Piliocolobus badius Dental schedule reconstructed using data onbody mass, coat color (Struhsaker, 1975), andLeigh’s (1994) growth curves. Body mass datafor P. b. oustaleti.
Leigh (1994), Miller (1997), Oates et al. (1994), Rossand Jones (1999), Smith and Jungers (1997),Struhsaker (1975).
Hylobates lar Dental eruption schedule from Ibscher (1967),Rumbaugh (1965, 1967), and Smith et al.(1994).
Chivers and Raemaekers (1980), Ellefson (1974),Geissmann (1991), Ibscher (1967), McKenna (1982),Miller (1997), Rumbaugh (1965, 1967), Smith et al.(1994), Smith and Jungers (1997), and records ofIndianapolis Zoo.
(Continued)
TEETH, BRAINS, AND PRIMATE LIFE HISTORIES 213
APPENDIX B (Continued)
Genus and species Notes Sources
H. syndactylus Dental eruption schedule from Rumbaugh(1967) and Smith et al. (1994)
Fox (1984), Geissmann (1991), Miller (1997),Orgeldinger (1994), Rumbaugh (1967), Smith et al.(1994).
Pongo pygmaeus Dental eruption schedule from Smith et al.(1994) and Fooden and Izor (1983)supplemented by zoo records.
Fooden and Izor (1983), Galdikas (1985), Jungers(1988, 1997), Markham and Groves (1990), Markham(1994), Smith et al. (1994), Tobias (1994), Watts andPusey (1993), and records of Lowry Park ZoologicalGardens and Auckland Zoological Park.
Pan troglodytes Dental eruption schedule from Anemone et al.(1996), Conroy and Mahoney (1991), Fleagle(1998), Kuykendall et al. (1992), and Smith etal. (1994). Adult body masses are equallyweighted pooled subspecies values.
Anemone et al. (1996), Conroy and Mahoney (1991),Fleagle (1998), Goodall (1986), Graham et al. (1985),Hardin et al. (1975), Kuykendall et al. (1992), Nishidaet al. (1990), Pilbeam (1988), Pusey (1990), Ross (1991),Smith et al. (1994), Smith and Jungers (1997), Tobias(1994), Tutin (1994), Uehara and Nishida (1987); Wattsand Pusey (1993).
Gorilla gorilla Dental eruption schedule from Smith et al.(1994), Keiter (1981), and Willoughby (1978).Adult body masses are equally weightedpooled subspecies values.
Fossey (1979), Harcourt et al. (1981), Harvey et al.(1987), Jungers and Susman (1984), Keiter (1981),Smith et al. (1994), Smith and Jungers (1997), Tobias(1994), Watts (1991), Willoughby (1978).
214 L.R. GODFREY ET AL.
APPENDIX B (Continued)