Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Journal of Gerontology: BIOLOGICAL SCIENCES 2000, Vol. 55A, No. 4, B201–B209 Copyright 2000 by The Gerontological Society of America Postreproductive Life Predicted by Primate Patterns Debra S. Judge1 and James R. Carey2 Departments of 1Anthropology and 2Entomology, University of California at Davis. Regression analyses of primate life spans on recently revised female body and brain masses of Old World primates predict a human life span of between 72 years and 91 years—estimates that exceed the age of human menopause (and prior estimates) by well over 20 years. The life spans predicted from body and brain sizes in the early Homo suggest that postreproductive life spans predate Homo sapiens. Among anthropoid primates, residual longevity after body and brain effects are controlled is greatest for Homo and for the New World monkeys of the genus Cebus. Body and brain masses predict a 25-year life span for Cebus, although recorded life spans exceed 50 years. Cebus are geographically widespread, have a female-bonded social organization convergent with Old World monkeys, and are primarily frugivorous, though the diet is heavily supplemented with vertebrate prey. Regressions of phylogenetically independent contrasts indicate that body mass and brain mass relationships to longevity remain significant when phylogeny is controlled and that brain mass is a more robust predictor than body mass. These data are new in terms of the completeness of species representation, more reliable body masses, presentation of various comparison group regressions, and control for phylogenetic independence. T O what extent is human longevity explained as a function of primate origin, body size, and brain size rather than as a function of modern ability to manipulate environment and self? Determining whether contemporary longevity is “extreme” on an evolutionary timescale requires a comparison with hominid ancestors and within the broader framework of our primate ancestors. Humans are relatively large-bodied mammals, and larger mammals tend to live longer than the smaller bodied (1). After controlling for body mass, one can explain some of the residual human longevity by the fact that humans are primates and primates live longer than other comparably sized mammals (2–4). Some of this potential for long life may be attributable to the relatively larger brains of primates (5,6). Primates have the capacity for life spans that exceed predictions based on their body size (7,8). The majority of primates are small to midsized (0.1–93 kg, with the vast majority weighing less than 10 kg), yet life spans of 20–30 years and more are not uncommon. The morphology, life history, and socioecology of primates are relatively well documented. Just as primates generally exceed the average life span predicted for mammals of their body size, body size accounts for a large proportion of the within-order variation in life span as well. Adult female body weight explains 63% of the variation in life span among genera (Figure 1). The positive relationship of longevity to body size within the order is not typical of all mammalian orders (8; and our unpublished data). From an evolutionary perspective, postreproductive life spans are anomalous. Thus the human female pattern of reproductive cessation in the fifth decade has intrigued evolutionary biologists for decades (9,10). A postreproductive life span may increase the survivorship of last-born young when juvenile periods are prolonged (11). Where more than two generations overlap, older females may subsidize the growth and development of more distant kin such as grandoffspring (12–14). This should apply particularly when females remain in their natal group while males disperse, as groups of females will be related. The presence of a grandmother more than halved the probability of mortality of captive vervet monkey infants (15). Female gelada baboons who form coalitions, first with their mothers and later with their own daughters, experience late life increases in rank and lifetime fitness that exceed the benefits of other coalitions (16). Attempts to model natural selection for postreproductive survival or to document this process have yielded mixed success (17, 18). Recent demographic data on baboons and lions found no differences in survival and reproductive success associated with the presence of grandmothers (19). Both species live in groups of related females and their immature offspring with in-migrating males; however, neither species is particularly long lived for its order and thus may not be the most appropriate test case. Brain size is correlated with both body size and life span in mammals as a whole (6) and within the Primate order (20–22). Relative brain size and relative life span (residual brain and life span after controlling for body mass) are reported to be highly correlated (2, n ⫽ 73 species; 22, n ⫽ 72 species). However, the body mass measurements on which these correlations are based appear to have numerous errors (23), and the use of species-level data exacerbates problems of nonindependence. We examine 133 species of primates for evidence of relatively long life span, relate longevity to body mass values and adult brain size, and examine the human life span relative to extant primates and estimates for early hominids. Convergence in socioecological characteristics of the primates exhibiting “hyperlongevity” adds support for hypotheses relating adult longevity to cooperative behavior (e.g., allomaternal care or cooperative hunting), perhaps through kin selection. METHODS AND MATERIALS Life span records, life history measures, and socioecological variables for 133 species of primates representing all major taxa form the database (Table 1). Adult female body B201 B202 JUDGE AND CAREY Figure 1. Adult female body mass and life spans for 53 genera of primates (r ⫽ .817, p ⬍ .001, r2adj ⫽ .660). Regression performed on genera; symbols indicate superfamilies. mass was taken from the recent carefully corrected and referenced compilations of Smith and Jungers (23) rather than the earlier, and reportedly problematic, values of Harvey and colleagues (21). Life spans were gleaned from a variety of sources (we began with 21, 24 and updated by using 22 and the primary primate literature). Record life spans are available for many more species of primates than are life expectancies. Whereas life expectancy is the result of interactions between organisms and their immediate environment and strongly reflects exogenous mortality, record life spans of primates are generally obtained under captive conditions with good to excellent husbandry and reflect endogenous mortality. For broadly comparative purposes across taxa, where it is the underlying rate of aging that is of interest, record life spans minimize noise that is due to cohort and period effects relative to comparisons based on life expectancy (25). That record observations are more conservative can be illustrated by noting that during the Twentieth Century, the female life expectancy at birth in the United States increased from 49 to 79 years (⫹61%), whereas the model maximum increased by less than 7.6% from 105 to 113 (26). Regressions are performed on the log-transformed values for record life span, adult female body mass (in kilograms ⫹ 1 to avoid negative log values and to allow comparisons with recently published work on primate life span), and adult brain mass. Life span predictions using adult female body mass differed from those computed using adult female body mass ⫹ 1 kg by less than 1 year (0.8–1.3 years), and differences in the predictions were not significantly related to phylogenetic group or to body size. Species specific measures are averaged to obtain estimates for 36 genera of anthropoid primates and 16 genera of prosimians. Using generic averages reduces bias that is due to sample composition and to the pseudo-independence of species as data points (27). Conservative human values of a 50-kg female body mass, 1250-g brain mass, and the 65-year life span derived from observations of the !Kung people of Botswana (28) are used in regressions. Predicted life span values are computed by using the case deletion method—the predicted life span for each taxon is computed by an equation that excludes its observed value. This study expands previous work on relationships of body mass, brain, and life span by expanding the scope of species included, avoiding problematic data sources that have inflated relationships previously reported in the literature, and correcting for phylogenetic nonindependence among data points while maintaining taxonomic variation. Phylogenetic nonindependence occurs when a data set includes a large number of values for closely related taxa. Two characteristics may be highly correlated not because they are replicated responses to evolutionary pressures, but because they co-occur in an ancestor antecedent to all the species included in the analyses. To reduce the likelihood of such spurious correlations, the group phylogeny is used to pinpoint independent comparisons between sister taxa. Thus, sister species may provide one comparison point; the average for their genus may then be compared with that of a sister genus, etc. It is the standardized differences (or contrasts) between variable values for the independent comparisons of sister taxa that are input into the regression (29). We use the Comparative Analysis by Independent Contrasts (CAIC) program developed by Purvis and Rambaut (for a detailed description of the analytical process, see 30). Rather than each taxon providing a value in the regression, each contrast between paired taxa provides one datum. This procedure allows for the assessment of quantitative and dichotomous traits. The question then is the extent to which contrasts in states between these paired taxa change together. These regressions of phylogenetically independent contrasts are used to validate the quantitative relationships of primate body mass and brain mass to longevity and to place human longevity in a broader quantitative context. The CAIC program provides phylogenetically controlled assessments of trait correlations but is not used directly in predictive computations. For this reason, human life span predictions are derived based on 53 primate genera, 36 genera of catarrhine primates, and the six genera of apes, respectively. There is a lack of consensus regarding the appropriate regression models for allometric comparisons (e.g., 27, 31). We have used least-squares regression because it produces residuals that are intuitively sensible and will produce a conservative estimate of predicted values for large-bodied species (including humans). Predicted life span values are the adjusted predictions—those values predicted when the data point (in this case the genus) is excluded from the equation. Human life span predictions based on adult female body mass and brain mass from anthropoid, catarrhine, and hominoid reference groups are presented. Regressions were performed by using SPSS for Windows programs. RESULTS Body Size Life Span Predictions The adjusted predicted human life span (when humans are excluded from building the equation), as derived from linear POSTREPRODUCTIVE LIFE PREDICTED BY PRIMATE PATTERNS B203 Table 1. Average Life Spans, Adult Female Body Masses, and Brain Masses for Primate Genera Mass Infraorder Family Genus Life Span (y)* Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Prosimii Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Platyrrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Catarrhini Loridae Loridae Loridae Loridae Galagonidae Galagonidae Lemuridae Lemuridae Lemuridae Lemuridae Megaladapidae Cheirogaleidae Cheirogaleidae Cheirogaleidae Indridae Daubentoniidae Tarsiidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Callimiconidae Callithricidae Callithricidae Callithricidae Callithricidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Hylobatidae Hylobatidae Pongidae Pongidae Pongidae Hominidae Arctocebus Loris Nycticebus Perodicticus Galago Otolemur Eulemur Hapalemur Lemur Varecia Lepilemur Phaner Cheirogaleus Microcebus Propithecus Daubentonia Tarsius Alouatta Aotus Ateles Brachyteles Cacajao Callicebus Cebus Chiropotes Lagothrix Pithecia Saimiri Callimico Callithrix Cebuella Leontopithecus Saguinus Allenopithecus Cercocebus Cercopithecus Colobus Erythrocebus Macaca Mandrillus Miopithecus Nasalis Papio Presbytis Pygathrix Theropithecus Trachypithecus Hylobates Symphalangus Gorilla Pan Pongo Homo 13.0 15.0 20.0 26.0 14.6 15.0 27.8 12.4 28.7 19.0 12.0 12.0 16.4 14.1 19.1 23.3 12.5 22.4 22.5 33.2 30.0 20.1 25.3 45.9 17.5 30.0 19.6 21.0 17.9 16.2 18.1 24.7 15.8 23.0 26.5 25.4 27.3 23.9 28.9 39.2 30.9 21.0 33.4 20.0 25.0 28.0 26.1 35.6 38.0 54.0 53.4 58.7 65.0 Female (kg)† 0.31 0.19 0.49 0.84 0.24 0.73 1.8 1.1 2.2 3.51 0.62 0.46 0.3 0.1 4.3 2.5 0.11 5.3 0.9 8.2 8.1 2.8 0.9 2.5 2.5 7.0 2.0 0.7 0.5 0.4 0.1 0.6 0.5 3.2 5.7 3.2 8.1 6.5 6.4 12.7 1.1 9.8 12.4 7.4 8.4 11.7 6.0 5.9 10.7 71.5 33.5 35.8 50.0 Brain (g)‡ 7.7 6.7 10.0 14.3 5.6 N/A 24.1 11.8 25.6 34.2 9.5 7.3 4.1 1.8 31.9 45.2 3.9 56.6 18.2 110.5 120.1 73.3 19.0 78.1 53.0 96.4 34.8 24.4 10.8 7.9 4.2 12.9 9.6 62.5 107.6 69.8 79.5 106.6 89.2 156.0 37.7 94.2 171.8 104.0 108.5 131.9 65.5 115.2 121.7 505.9 410.3 413.3 1250.0 *Life spans are generally captive life spans and were taken from Harvey and colleagues (21) and then updated according to various sources cited in Rowe (24) and from Hakeem and colleagues (22). †Original adult female body masses are from Smith and Jungers (23); means are the back-transformed mean log masses for species within each genus. ‡Original brain masses from Harvey and colleagues (21) and Rowe (24). regressions of log-transformed life span and adult female body weights (⫹ 1 kg) of 53 primate genera, is 51 years: log 10 L = 1.175 + 0.317 ( log 10 M ), (1) where L is the longest observed life span in years and M is the adult female body mass ⫹ 1 k (r ⫽ .817, n ⫽ 53 genera; p ⬍ .001, r2adj ⫽ .660). Cebus, a genus of New World monkey, is the only statistical outlier in the sample (Figure 1). B204 JUDGE AND CAREY Excluding the prosimians, which Martin (32) argued represent a significantly different evolutionary trajectory, results in the following relationship: log 10 L = 1.235 + 0.267 [ log 10 ( M ) ] (2) and decreases the adjusted human life span prediction to 47 years (r ⫽ .771, n ⫽ 36 genera; p ⬍ .001, r2adj ⫽ .582). Curiously, this equation for anthropoid genera is almost exactly the same as that derived by Austad and Fischer (2) for 77 species of primates including the prosimians. Excluding the prosimians results in the expected increased intercept and decreased slope (Figure 2). The relationship of life span and body mass in anthropoid primates predicts a life span that is roughly equal to the age by which most extant human females experience menopause and exceeds the age of noticeable fertility decline (33). The adult female body masses of anthropoid primate genera are positively correlated with life span when phylogenetic relationships are controlled, although r is somewhat reduced (r ⫽ .540, p ⫽ .007). With the standard human values noted above, residual life spans are longer for Cebus monkeys than for humans. The ratio of observed to the adjusted expected in Cebus is 2; a roughly equivalent human average would be 94 years. The Cebus weigh 2–4 kg, and there are multiple records of these monkeys living well over 40 years. New World monkeys have evolved independently of the hominid lineage for approximately 45 million years, indicating that the evolution of hyperlongevity in Cebus is independent of that in the hominid line. The earliest fossils that may distinguish Cebus from its sister genus Saimiri date from approximately 10,000 years ago, and yet Cebus are the most widespread genus of New World monkeys (34). Incorporating Brain Size Into Predictions Primate brain size is correlated with body size and with longevity. The relationships between anthropoid body and brain mass (Figure 3; independent contrasts r ⫽ .711, p ⬍ .001) and between brain mass and longevity (Figure 4; independent contrasts r ⫽ .661, p ⬍ .001) are sustained when Figure 2. Adult female body mass and life spans for 36 genera of anthropoid primates (r ⫽ .771, p ⬍ .001, r2adj ⫽ .582). Figure 3. Adult brain mass and body mass for 36 genera of anthropoid primates. phylogenetic relationships are controlled. Using the most recently available body mass and life span data, and controlling for the effects of adult female body mass and congeneric data points, we find only a trend of relationship between relative brain mass and relative life span among anthropoid genera (Figure 5): LS = 0.0018 + 0.193 ( RB ) (3) (LS and RB are the adjusted residual life spans and brain masses, respectively, after body mass is controlled; n ⫽ 36, r2adj ⫽ .075, p ⫽ .058). The largest deviation between the observed and adjusted predicted brain size occurs in Cebus monkeys. The observed brain size is more than twice the expected; the conservative human value of 1250 g is 1.92 times larger than that predicted by body size. A 1396-g human brain would equal the Cebus’ encephalization quotient (ratio of observed to predicted brain mass)—a not unusual human brain mass. Miopithecus has the largest relative brain size and an unusual longevity for an Old World monkey. Incorporating brain mass into the equation predicting life span results in a multivariate relationship: Figure 4. Anthropoid primate life span by log brain mass. POSTREPRODUCTIVE LIFE PREDICTED BY PRIMATE PATTERNS Figure 5. Residual values of adult brain weight regressed on adult female body weight and of life span regressed on adult body weight for 34 genera of anthropoid primates (n ⫽ 36, r2adj ⫽ .075, p ⫽ .058). The resulting values indicate the relationship of brain and life span after that portion explained by body weight is excluded. log 10 L = 1.037 + 0.045 ( log 10 M ) + 0.202B, (4) where L and M are defined as above and B is the brain mass in grams ( p ⱕ .001, r2adj ⫽ .615). This results in an extension of the adjusted predicted human life span to 52.4 years. Responding to the colinearity of brain and body mass, we regressed life span on body mass and the encephalization quotient (EQ) log 10 L = 1.235 + 0.267 ( log 10 M ) + 0.180 EQ t = 7.333, 1.907 p = ⬍.001, .065 (5) n⫽ 36 genera, r2adj ⫽ .613, p ⬍ .001), yielding in an adjusted predicted human life span of 52.7 years. The leastsquares method produces a conservative estimate of the slope. When phylogeny is controlled, brain mass is a stronger predictor of life span than is body size (contrast for body mass b ⫽ 0.066, T ⫽ 0.766, p ⫽ .449; contrast for brain mass b ⫽ 0.193, T ⫽ 3.043, p ⫽ .005). It is clear that New World monkeys predominate in the lower end of the mass range and Old World groups in the upper end. Excluding the New World genera yields the following equation: B205 Figure 6. Observed and predicted life spans (by body weight and relative brain size; case deletion) for 20 genera of Old World primates. (n ⫽ 6 genera, r2adj ⫽ .900, p ⫽ .015) and an adjusted predicted human life span of 82.3 years (Figure 7). Given human phylogenetic history, adult female body mass, and brain mass, a life span of 72 or more years is not exceptional, and life spans of nine to ten decades under good conditions are predicted. DISCUSSION The lowest predicted human life span (52 years) exceeds the observed life spans of other great apes and the period of severely reduced fertility in apes and humans (33). The predictions generated from catarrhine primates exceed the age of menopause in extant women by at least 20 years; they also exceed the observed longevity of extant hunter–gatherers (often assumed to reflect “premodern” potential). This suggests that a life span exceeding that of the female reproductive system is part of a phylogenetic legacy rather than a modern development related to uniquely human cultural innovations. Although this contradicts the idea that postreproductive life span is an artifact of modern cultural conven- log 10 L = 0.701 – 0.049 ( log 10 M ) + 0.402 ( log 10 B ) t = – 0.318 , 2.476 (6) p = .755, .024 for the relationship between body and brain mass for catarrhine primates (n ⫽ 20 genera of Old World monkeys and apes; r2adj ⫽ .679, p ⬍ .001). The predicted human life span is 72 years and the adjusted prediction for human life span is 91 years (Figure 6). Including only the apes to generate the relationship yields the following relationship: log 10 L = 1.104 + 0.072 ( log 10 M ) + 0.193 ( log 10 B ) t = 0.871, 2.355 (7) p = ⬍.001, .065 Figure 7. Observed lifespan of Hominoidea (n ⫽ 6 genera) by body and brain mass predicted life span (case deletion). B206 JUDGE AND CAREY tions, it does not address whether selection proceeded to reduce reproductive life span (i.e., the evolution of early reproductive cessation; 11, 19) or to extend life span beyond some set reproductive limit. The great apes have absolutely long lives and exceed the life span expected by body and brain size. However, the closest relatives of humans (Gorilla and Pan) are exceeded in their positive deviation from the expected by five other catarrhine genera (see Table 2), and no Old World nonhuman genus approaches the positive deviation from expected life span demonstrated by the New World monkeys of the genus Cebus. Cebus exhibit life spans that rival those of chimpanzees, even though chimp females are roughly 15 times larger. The 23-year Cebus life span predicted by body size alone is extended to only 25 years (a 9% increase) when brain size is incorporated, which underestimates Cebus longevity by more than 20 years. Cebus are the most geographically widespread of New World monkeys and show convergent evolution in social structure to Old World monkeys (35). They have a fruit-based diet with a heavy meat component obtained through predation on both invertebrates and vertebrates (36). Contrary to the hypothesis that capacity for prolonged life span should evolve where exogenous mortality is low (2, 37), Cebus monkeys are important prey to human and avian predators (38, 39). As frugivores/omnivores, Cebus exploit food sources that juveniles require time to learn to find, capture, and process—a trait that has been associated with slower than expected juvenile growth patterns (40). However, when food sources require experience to find and/ or manipulate (41), prolonged dietary subsidization from older (related) group members may be selectively advantageous. This is central to one formulation of the “grandmother hypothesis” (see, e.g., 14, 42). Recent findings that Cebus are cooperative hunters of vertebrate prey (36) both adds to the benefits that might accrue to younger animals from sharing by older group members and underscores the benefits of age and experience in successful foraging. Generally, mammalian females live longer than conspecific males. Allman and colleagues (43) suggested that primates with predominantly paternal care exhibited a male survival advantage. Unfortunately, the number of species for which sex-specific survivorship is available is small. Several of the species documented are closely related phylogenetically, and male parental care appears more to be associated with no difference between the sexes rather than male-biased survivorship (only the Owl monkey—Aotus— showed a statistically significant male advantage). Additionally, the effects of paternal care were not separated from those of reduced male–male competition in monogamous mating systems. These authors note that they have not taken into account cooperative interactions among caregivers of the same sex (43; p. 6868). Cebus social organization is based on philopatric (and therefore related) females, their offspring, and one or few immigrant adult males. Though numbers of resident adult males may vary, females in larger groups have higher reproductive success than females in smaller groups. Researchers have reported allomaternal nursing in wild Cebus; other (unrelated and sometimes juvenile) female members of the Table 2. Residual Life Span After Adult Female Body and Adult Brain Masses Are Included In the Predictive Equation Residuals Family Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Cebidae Callimiconidae Callithricidae Callithricidae Callithricidae Callithricidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Cercopithecidae Hylobatidae Hylobatidae Pongidae Pongidae Pongidae Hominidae Genus Anthropoid* Catarrhine† Hominoid‡ Alouatta Aotus Ateles Brachyteles Cacajao Callicebus Cebus Chiropotes Lagothrix Pithecia Saimiri Callimico Callithrix Cebuella Leontopithecus Saguinus Allenopithecus Cercocebus Cercopithecus Colobus Erythrocebus Macaca Mandrillus Miopithecus Nasalis Papio Presbytis Pygathrix Theropithecus Trachypithecus Hylobates Symphalangus Pongo Gorilla Pan Homo ⫺0.08123 0.05048 0.02908 ⫺0.02342 ⫺0.14850 0.09943 0.25944 ⫺0.17510 ⫺0.00154 ⫺0.07956 0.11588 ⫺0.00185 ⫺0.02044 0.13018 0.13314 ⫺0.05271 ⫺0.06752 ⫺0.06182 ⫺0.03273 ⫺0.03119 ⫺0.11020 ⫺0.01003 0.06425 0.13786 ⫺0.17216 ⫺0.01670 ⫺0.19087 ⫺0.09790 ⫺0.07253 ⫺0.02720 0.06573 0.07544 0.10654 0.10460 0.15096 0.09132 ⫺0.03353 ⫺0.05732 ⫺0.00733 0.02374 ⫺0.09969 0.02135 0.07199 0.23377 ⫺0.13881 ⫺0.02040 ⫺0.17373 ⫺0.07636 ⫺0.05423 0.03346 0.07174 0.10147 0.06264 0.06231 0.11192 ⫺0.14434 ⫺0.0316 ⫺0.0065 ⫺0.0857 0.01 0.0586 ⫺0.1024 *Deleted residuals calculated from an equation including all anthropoid primate genera; n ⫽ 36. †Deleted residuals calculated from an equation including only the Old World monkeys and apes; n ⫽ 20 genera. ‡Deleted residuals calculated from an equation including only the apes; n ⫽ 6 genera. group sometimes suckle from lactating females (44, 45). Although Cebus are not cooperative breeders in the sense of the delayed reproduction and carrying behavior of the Callitrichidae, they do cooperate facultatively. Convergences of Cebus and Homo in extreme relative longevity suggest the importance of further research on the interactions of older Cebus females with their daughters and other females as well as detailed information on late life ovarian function. Postreproductive periods that are two standard deviations greater than an average interbirth interval for the majority of females were documented only in humans and chimps; however, Cebus were not one of the 14 species examined (33). The observed hunter–gatherer life span used herein underperforms the expected. Based on catarrhine primate patterns, human life spans into the tenth decade are within a reasonable range of observed life spans based on weight and POSTREPRODUCTIVE LIFE PREDICTED BY PRIMATE PATTERNS B207 Figure 8. Open ovals, rectangles, and triangles are longevity estimates based on anthropoid subfamily values for body and brain mass regressions; filled ovals, rectangles, and triangles are based on extant hominoid values adapted from Hammer and Foley (48). Open cups are estimates from hominoid body and brain regressions and closed cups are based on catarrhines body and brain mass regressions (this paper). brain size. No matter which regressions are used, extant traditional human life spans do not exceed the relative divergence above the expected of at least one other phylogenetically independent genus. The 105-year-old maximum observed in a sample of 1,000 obituaries in contemporary Los Angeles (22) is remarkably close to what would be expected based on the primate patterns (where the number of observations are roughly the same order of magnitude). Humans are survivors of a much richer assemblage of hominid species that existed as recently as 2 million years ago, and more precise estimates might be derived from trajectories of hominid ancestors than from extant anthropoids. McHenry (46) inferred life span from estimates of body size by using relationships between bone measures and body size in extant hominoids (Great Apes) to infer the body weights of ancestral hominids. This procedure yields estimates of female body weight in Australopithecus (3 and 4 million years ago) between 29 and 34 kg (male 40–48 kg), and the use of published body weight and life span relationships for primate subfamilies (5) yields a life span of 42–44 years. For Homo habilis (2.4–1.6 million years ago) McHenry estimated a 43-year life span. Female body weight in Homo erectus (1.7–0.7 million years ago), is estimated to have increased to 52 kg while sexual size dimorphism decreased (males ⫽ 63 kg), and life span based on body size is estimated at 50 years (47). We have found that using the body masses from Smith and Jungers (23) reduces the estimated life spans somewhat. Hammer and Foley (48) incorporated body and raw brain size estimates from fossil crania to predict early hominid longevity, using a multivariate OLS regression of the log body weight and brain volume (Figure 8). Estimates based on regressions of anthropoid primate subfamilies (5) or limited to extant apes indicate a major increase in longevity from the 52–56 years of H habilis to the 60–63 years for H erectus between roughly 1.7 and 2 million years ago. Their predicted life span for small-bodied H sapiens is 66–72 years. From a catarrhine comparison group, our prediction is 72 years (91 years when H sapiens is excluded from the predicting equation). For early hominids to live as long or longer than predicted was probably extremely rare; the important point is that the basic catarrhine design resulted in a primate with the potential to survive long beyond a mother’s ability to birth young. Notably, Hammer and Foley’s predicted life span of H habilis exceeds the age of menopause in extant women by only 7 to 11 years, whereas that of H erectus exceeds menopause by 15–18 years. This suggests that postmenopausal survival is not an artifact of modern life style (49) but may have originated between 1 and 2 million years ago, coincident with the radiation of hominids out of Africa. This lends support to Hawkes and colleagues’ earliest posited timing of the evolution of postreproductive life (14). The rapid increase in longevity noted in H erectus is interesting in light of suggestions that H erectus but not H habilis is more likely closer related to H sapiens than to the australopiths (50). Evolutionarily significant human data are mixed. Paleodemographic studies of small samples of human remains report very few individuals surviving to old age, whereas data on contemporary hunter–gatherers consistently indicate the presence of adults of 65⫹ years of age, even in habitats that are clearly marginal (e.g., 28). Twenty-five percent of adult Ache women survive to 70 years (51), and among other South American groups, 18% (Yanomamo) to 22% (Hiwi) of adult women exceed 65 years (42). Hawkes and colleagues (13) demonstrate that the product of Hadza grandmothers’ gathering subsidizes the weight gain of grandchil- B208 JUDGE AND CAREY dren between weaning and adolescence (when primate young are most vulnerable to starvation). The grandmother’s inclusive fitness is increased during a time when she is no longer able to successfully reproduce herself. This new formulation is important because it takes cessation of reproduction (menopause) as a hominoid given and attempts to explain selection for prolonged longevity by means of kin selection. Kaplan (42) has demonstrated quantitatively that in contrast to adolescents, “old” individuals of both sexes in several traditional hunter–gatherer and horticultural groups are net resource providers. Although it is possible that extant “traditional” groups are unreliable demographic models for early hominid populations, it is also possible that archeological studies are less likely to retrieve the fossil remains of the most frail individuals—those most likely to die while migrating or otherwise absent from a base camp. Centenarian humans are not out of the scope of primate longevity, especially given the large numbers of human observations (i.e., high numbers increase the probability of sampling the extreme right tail of the distribution). This suggests that life spans beyond the age of human female menopause are not necessarily artifacts of modern lifestyles. Furthermore, Cebus monkeys exhibit relative life span potentials similar to humans and are convergent in traits such as a relatively large brain, generalized ability to exploit a wide range of ecological niches over a broad geographical distribution, fruit-based diet with cooperative hunting of vertebrate prey, and polygynous mating systems. Whether human ancestors were male or female philopatric is unresolved. If human ancestors had the potential for 72-year life spans and postreproductive life for 1–2 million years, one might wonder why prolonging the life span to 100 years under modern conditions of ecological release has not been easier. Acknowledgments We thank Drs. Alexander Harcourt, Sarah Blaffer Hrdy, Henry McHenry and Kelly Stewart for discussion and comments on earlier drafts of the manuscript. Three anonymous reviewers provided comments and questions that improved the manuscript. Our thanks to Dr. Andy Purvis, Department of Biology, Imperial College at Silwood Park for the primate phylogeny used by the CAIC program. This research was supported by Grant AG-08761 from the National Institute of Aging. Address correspondence to D. S. Judge, Department of Anthropology, University of California at Davis, Davis, CA 95616. E-mail: dsjudge@ ucdavis.edu References 1. Lindstedt S., Calder W. Body size, physiological time, and longevity of homeothermic animals. Q Rev Biol. 1981;56:1–16. 2. Austad S, Fisher K. Primate longevity: its place in the mammalian scheme. J Primat. 1992;28:251–261. 3. Cutler R. Evolution of longevity in primates. J Human Evol. 1976;5, 169–202. 4. Prothero J, Jurgens K. Scaling of maximal lifespan in mammals; a review. In: Woodhead A, Thompson K, eds. Evolution of Longevity in Animals. New York: Plenum Press; 1987:49–74. 5. Harvey P, Clutton-Brock T. Life history variation in primates. Evolution. 1985;39(3):559–581. 6. Sacher G. Relationship of lifespan to brain weight and body weight in mammals. CIBA Found Colloquia. 1959;5:115–141. 7. Austad S, Fischer K. Mammalian aging, metabolism, and ecology: evidence from the bats and marsupials. J Gerontol Biol Sci. 1991;46: B47–B53. 8. Promislow D, Clobert J, Barbault R. Life history allometry in mammals and squamate reptiles: taxon-level effects. Oikos. 1992;65:285–294. 9. Medawar P. An Unsolved Problem of Biology. London: H. K. Lewis; 1952. 10. Hamilton WD. The moulding of senescence by natural selection. J Theoret Biol. 1966;12:12–45. 11. Williams G. Pleiotropy, natural selection and the evolution of senescence. Evolution. 1957;11:398–411. 12. Hawkes K, O’Connell J, Blurton-Jones NG. Hardworking Hadza grandmothers. In: Foley R, Standen V, eds. Comparative Socioecology of Mammals and Man. Oxford, UK: Blackwell; 1989:341–366. 13. Hawkes K, O’Connell J, Blurton-Jones N. Hadza women’s time allocation, offspring provisioning, and the evolution of long postmenopausal life spans. Current Anthro. 1997;38:551–577. 14. Hawkes K, O’Connell J, Blurton Jones NG, Alvarez H, Charnov EL. Grandmothering, menopause, and the evolution of human life histories. Proc Natl Acad Sci USA. 1998;95:1336–1339. 15. Fairbanks L, McGuire M. Age, reproductive value, and dominancerelated behaviour in vervet monkey females: cross-generational influences on social relationships and reproduction. Anim Behav. 1986;34: 1710–1721. 16. Dunbar R. Primate Social Systems. London: Christopher Helm; 1988. 17. Rogers A. Why menopause? Evolutionary Ecol. 1993;7:406–420. 18. Hill K, Hurtado AM. The evolution of reproductive senescence and menopause in human females. Human Nature. 1991;2(4):313–350. 19. Packer C, Tatar M, Collins A. Reproductive cessation in female mammals. Nature. 1998;392:807–811. 20. Eisenberg JF. The Mammalian Radiations: An Analysis of Trends in Evoluton, Adaptation, and Behavior. Chicago: University of Chicago Press; 1981. 21. Harvey PH, Martin P, Clutton-Brock, T. In: Smuts B, Cheney D, Seyfarth R, Wrangham R, Struhsaker T, eds. Primate Societies. Chicago: University of Chicago Press; 1987:181–196. 22. Hakeem A, Sandoval GR, Jones M, Allman J. Brain and lifespan in primates. In: Birren J, ed. Handbook of the Psychology of Aging, 4th ed. New York: Academic Press; 1996:78–104. 23. Smith R, Jungers W. Body mass in comparative primatology. J Human Evol. 1997;32:523–559. 24. Rowe N. The Pictorial Guide to the Living Primates. East Hampton, NY: Pogonias Press; 1996. 25. Sohal R, Weindruch R. Oxidative stress, caloric restriction, and aging. Science. 1996;273(5 July):59–63. 26. Bell F, Wade A, Goss S. Life tables for the United States Social Security Area 1900–2080: Actuarial Study No. 107. U.S. Department of Health Human Services; 1992. 27. Harvey P, Pagel M. The Comparative Method in Evolutionary Biology. Oxford, UK: Oxford University Press; 1991. 28. Howell N. Demography of the Dobe !Kung. New York: Academic Press; 1979. 29. Felsenstein J. Phylogenies and the comparative method. Am Naturalist. 1985;125:1–15. 30. Purvis A, Rambaut A. Comparative analysis by independent contrasts (CAIC): an Apple Macintosh application for analysing comparative data. Comput Appl Biosci. 1995;11:247–251. 31. Charnov EL. Life History Invariants: Some Explorations of Symmetry in Evolutionary Ecology. Oxford, UK: Oxford University Press; 1993. 32. Martin R. Adaptation and body size in primates. Zeit Morph Anthrop. 1980;71:115–124. 33. Caro T, Sellen D, Parish A, et al. Termination of reproduction in nonhuman and human female primates. Int J Primatol. 1995;16(2):205–220. 34. Kinzey W. New World Primates. New York: Aldine de Gruyter; 1997. 35. Di Fiore A, Rendall C. Evolution of social organization: a reappraisal for primates by using phylogenetic methods. Proc Nat Acad Sci USA 1994;91:9941–9945. 36. Perry S, Rose L. Begging and transfer of coati meat by white-faced capuchin monkeys, Cebus capucinus. Primates. 1994;35(4):409–415. 37. Harvey PH, Promislow DEL, Read AF. Causes and correlates of life history differences among mammals. In: Standen V, Foley RA, eds. Comparative Socioecology. Oxford, UK: Blackwell; 1989:305–318. 38. Hawkes K, Hill K, O’Connell J. Why hunters gather: optimal foraging and the Ache of eastern Paraguay. Am Ethnol. 1982;9:379–398. 39. Rettig N. Breeding behavior of the Harpy eagle. Auk. 1978;95(4): 629–643. 40. Janson C, van Schaik C. In: Pereira M, Fairbanks L, eds. Juvenile Pri- POSTREPRODUCTIVE LIFE PREDICTED BY PRIMATE PATTERNS 41. 42. 43. 44. 45. 46. mates: Life History, Development and Behavior. New York: Oxford University Press; 1993:57–74. Garber PA, Paciulli LM. Experimental field study of spatial memory and learning in wild capuchin monkeys (Cebus capucinus). Folia primatol. 1997;68(3–5):236–253. Kaplan H. The evolution of the human life course. In: Wachter K, Finch C, eds. Between Zeus and the Salmon: The Biodemography of Longevity. Washington, D.C.: National Academy Press; 1997:175–211. Allman J, Rosin A, Kumar R, Hasenstaub A. Parenting and survival in anthropoid primates: caretakers live longer. Proc Natl Acad Sci USA. 1998;95:6866–6869. O’Brien T. Parasitic nursing behavior in the Wedge-capped Capuchin monkey (Cebus olivaceus). Am J Primatol. 1988;16:341–344. Perry S. Female-female social relationships in wild White-faced Capuchin monkeys, Cebus capucinus. Am J Primatol. 1996;40:167–182. McHenry H. Body size and proportions in early hominids. Am J Phys Anthrop. 1992;87:407–431. B209 47. McHenry H. Behavioral ecological implications of early hominid body size. J Human Evol. 1994;27:77–87. 48. Hammer M, Foley R. Longevity, life history and allometry: how long did hominids live? Human Evol. 1996;11:61–66. 49. Washburn S. In: McGaugh J, Kiesler S, eds. Aging: Biology and Behavior. New York: Academic Press; 1981:11–29. 50. Wood B, Collard M. The human genus. Science. 1999:284(2 April): 65–71. 51. Hill K, Hurtado M. Ache Life History: The Ecology and Demography of a Foraging People. New York: Aldine de Gruyter; 1996. Received February 3, 1999 Accepted September 17, 1999 Decision Editor: Jay Roberts, PhD