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. Author manuscript; available in PMC: 2019 Feb 28.
Published in final edited form as: J Anim Ecol. 2018 Aug 21;88(1):47–66. doi: 10.1111/1365-2656.12887

Social influences on survival and reproduction: Insights from a long-term study of wild baboons

Susan C Alberts 1,2
PMCID: PMC6340732  NIHMSID: NIHMS983021  PMID: 30033518

Summary

1. For social species, the environment has two components: physical and social. The social environment modifies the individual’s interaction with the physical environment, and the physical environment may in turn impact individuals’ social relationships. This interplay can generate considerable variation among individuals in survival and reproduction. Here, I synthesize more than four decades of research on the baboons of the Amboseli basin in southern Kenya to illustrate how social and physical environments interact to affect reproduction and survival.

2. For immature baboons, social behavior can both mitigate and exacerbate the challenge of survival. Only ~50% of live-born females and ~44% of live-born males reach the median age of first reproduction. Variation in pre-adult survival, growth, and development, is associated with multiple aspects of the social environment. For instance, conspecifics provide direct care and are a major source of social knowledge about food and the environment, but conspecifics can also represent a direct threat to survival through infanticide.

3. In adulthood, both competition (within and between social groups) and cooperative affiliation (i.e., collective action and/or the exchange of social resources such as grooming) are prominent features of baboon social life and have important consequences for reproduction and survival. For instance, adult females with higher social dominance ranks have accelerated reproduction, and adult females that engage in more frequent affiliative social interactions have higher survival throughout adulthood.

4. The early life environment also has important consequences for adult reproduction and survival, as in a number of other bird and mammal species. In seasonal breeders, early life effects often apply to entire cohorts; in contrast, in nonseasonal and highly social species such as baboons, early life effects are more individual-specific, stemming from considerable variation not only in the early physical environment (even if they are born in the same year) but also in the particulars of their social environment.


Graphical Abstract text: An animal’s survival and reproduction are determined by how it interacts with its environment; for social species this includes both the physical and the social environment. The variation in resource distribution that results from social behavior can generate considerable variation in survival and reproduction. This paper synthesizes more than four decades of long-term research on the ecology and social behavior of baboons of the Amboseli basin to describe the challenges and opportunities presented by the physical and social environments, how they unfold over the course of an animal’s life, and how animals meet them.

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1. Introduction

If the essence of life is to capture energy from the environment and convert it into more organisms (Ellison 2017), then the essence of social life is to bias the distribution and conversion of this energy via social interactions. In other words, every animal’s survival and reproduction are determined by how it interacts with its environment, and for social species this includes both the physical and the social environment. The physical environment includes both abiotic and biotic components (weather, food, and predators), and the social environment is created by the behavior of the individual and its conspecifics. The modulation of resource distribution by social behavior – particularly competitive and cooperative behavior – can generate considerable variation in individual fitness. Thus, social behavior, in addressing the challenges of the physical environment, creates new challenges of its own.

How do the challenges and opportunities of the physical and social environments unfold over the course of an animal’s life, and how do animals meet them? Here, I synthesize more than four decades of long-term research on the ecology and social behavior of baboons of the Amboseli basin to illustrate some answers to this question. I begin with a description of the setting of the long-term Amboseli Baboon Research Project and with background on baboon ecology. I then focus on four phases of the baboon life history to illustrate the interplay of social and physical environments in survival and reproduction.

First, I examine survival during the infant and juvenile period, to illustrate how social behavior can both mitigate and exacerbate the challenge of survival for young baboons. Social interactions are essential for young baboons as they learn to forage, and social interactions can also mitigate disease risk. However, immature baboons can also die from conspecific attacks. Thus, infant and juvenile baboons must navigate a complex set of social interactions to successfully run the Darwinian gauntlet.

Second, I examine growth and development. Here, social and environmental influences show particularly complex interactions. For example, demography affects maturation rates, but in a sex-specific manner: living in groups with more adult females accelerates male maturation but slows female maturation. This example and others in this section highlight the dual nature of conspecific relationships, which present both challenges and opportunities.

Third, I examine social interactions in adulthood. Affiliative interactions are strongly linked to adult survival in baboons: females with more frequent affiliative interactions have higher survival. However, competitive behavior is also a central feature of baboon social life. Two modes of competition—within-group competition and between-group competition – shape baboon social life and again highlight the dual challenges and opportunities represented by social relationships.

Fourth, I examine the ‘long reach’ of early life and describe the ways in which the early life environment affects fitness outcomes in baboons. I develop two themes in this section. The first is the potential importance of social effects in early life. In most animals for which early life effects have been studied, the environmental variables of interest (usually rainfall or population density) – are linked primarily to nutrition and energy intake. In contrast, in humans and perhaps other highly social species such as baboons, the social environment appears to be important, perhaps independent of their consequences for nutrition and energy intake. Understanding how and why social environments in early life affect development and adult survival will be very important for understanding the evolution of complex societies, including our own species. The second theme in this section is the difference between cohort effects – aggregate environmental features that all individuals in a population or social group experience if they are born at the same time – and individual effects. I argue that individual effects – arising at least partly from individual-specific social circumstances – are a much more important feature in the lives of non-seasonal, highly social species than are cohort effects.

I conclude with a short discussion of the importance of long-term studies, which are essential for understanding the effects on fitness of both physical and social environments for three reasons (Clutton-Brock & Sheldon 2010). First, both physical and social environments change over time. Thus, studying any trait during a short time window will reveal only a small part of the reaction norm for that trait, because short-term studies capture only a small part of environmental and trait variation. Second, questions about both development and senescence require many years of data, particularly for animals with long lifespans. Finally, events that occur at one stage of the life span can have profound effects on behavior, reproduction, and survival at other stages. These points resonate throughout this synthesis, which aims to highlight the value of longitudinal, individual-based data from natural animal populations for understanding both social and environmental influences on fitness outcomes.

2. Setting of the long-term study

The Amboseli basin of southern Kenya — a large dry Pleistocene lake basin at the northern base of Mt. Kilimanjaro, bordering northern Tanzania and southern Kenya — is a place of extremes (Figure 1a). The intense heat of mid-day can peak at 45°C during the hottest months; overnight lows during the coolest months can drop as low as 5°C. The basin has no drainage, and the soils are highly mineralized and alkaline (Stoessell & Hay 1978; Trueman et al. 2004). Rain almost never falls between June and October, and is highly unpredictable between November and May, with annual totals averaging 350 mm (Figure 1b, 1c; Western & Vanpraet 1973; Alberts et al. 2005). This combination of abiotic factors and the presence of a full complement of large and small herbivore grazers and browsers produces a dry savannah mosaic that consists of grasses, shrubs, scattered groves of Acacia woodland, and large areas of bare ground.

Figure 1.

Figure 1.

A. Location of Amboseli National Park (yellow shading), the study area (red shading), and surrounding areas; image courtesy of Google Earth and Catherine Markham. B. Total rainfall by month; open circles are individual monthly values (n=499 months), showing variability across months and the predictable 5-month dry season from June through October. C. Total rainfall by hydrological year in Amboseli (Nov-October).

Baboons are the most common nonhuman primate in the basin; vervet monkeys (Chlorocebus pygerythrus) and lesser galagos (Galago senegalensis) occur as well. Predators on baboons include lions, leopards (increasingly rare in recent decades), hyenas (Crocuta crocuta), pythons (Python sebae), and various large birds of prey (Altmann & Altmann 1970). Cheetah (Acinonyx jubatus) and two species of jackal (Canis mesomelas and C. aureus) are also present in the basin but rarely or never take baboons as prey. The major human population in the basin is Maasai, a pastoralist group that occupies a large swath of southern Kenya and northern Tanzania. In recent years the Maasai population in the Amboseli basin has grown, reflecting a common pattern for people living near National Parks in developing countries (Wittemyer et al. 2008). This human population growth has resulted in habitat changes, including persistent over-grazing by livestock (Western, Groom & Worden 2009; Groom & Western 2013).

The baboon population in Amboseli, which is part of a larger, continuous baboon population in southern Kenya and northern Tanzania, lies in a hybrid zone between two species. The population is composed primarily of yellow baboons (Papio cynocephalus) but occasional immigration of anubis (or olive) baboons (P. anubis) into the basin has resulted in low to moderate levels of recent admixture in approximately 30% of individuals in the study population (Samuels & Altmann 1986; Alberts & Altmann 2001; Tung et al. 2008; Charpentier et al. 2012; see also Wall et al. 2016 for a genomic analysis of historic admixture). This admixture is not particularly unusual for a baboon population: baboon species are not highly specialized, either morphologically or ecologically, and freely hybridize at all known contact zones (Jolly 1993; Ackermann, Rogers & Cheverud 2006; Bergman, Phillips-Conroy & Jolly 2008; Tung et al. 2008; Tung et al. 2012; Winder 2014; Wango et al. 2018).

The number of baboons in the Amboseli basin has risen and fallen over the decades, largely in response to changes in the availability of Acacia woodlands. Baboons in many habitats are dependent upon trees, for two reasons. First, baboons do not sleep on the ground: throughout their nearly continental range, they sleep either on cliffs or in trees. Second, in Amboseli, Acacia trees represent a major food resource for baboons. Baboons eat the flowers, green seed pods, fresh and dry seeds, and gum exudate of both species of Acacia, spending a greater proportion of their time on the products of A. xanthophloea than on A. tortilis (Post 1982; Alberts et al. 2005).

In the 1960s, when Jeanne and Stuart Altmann first arrived in Amboseli to study baboons, a decade before they established the long-term Amboseli Baboon Research Project, Acacia woodlands were abundant and the baboon population was relatively dense, estimated at approximately 73 baboons per km2 in the central part of the basin. Over the next several decades, the Acacia woodlands declined dramatically in this area, at least partly in response to the pressure of browsers that were increasingly protected in the central basin (Struhsaker 1967; Struhsaker 1973; Western & Vanpraet 1973; Struhsaker 1976). In response, the baboon population in the central basin also declined dramatically, from approximately 2500 baboons in the early 1960s to fewer than 200 baboons by the mid-1980s, at a density of less than 2 baboons per km2 (Altmann, Hausfater & Altmann 1985; Samuels & Altmann 1991). During this same period, vervet monkeys – the other diurnal primate species in Amboseli – also declined dramatically and nearly went locally extinct in some areas of Amboseli (Struhsaker 1973; Struhsaker 1976; Cheney et al. 1988; Isbell, Cheney & Seyfarth 1990; Isbell, Cheney & Seyfarth 1991).

Baboons avoided local extinction by shifting their home ranges out of the central part of the basin where tree loss was greatest. The groups studied by the Amboseli Baboon Research Project, for instance, moved ~6 km toward the southwestern edge of the basin, where the Acacia woodlands were still relatively robust (Bronikowski & Altmann 1996; Alberts et al. 2005). Today the southwestern edge of the basin has the densest baboon population of anywhere in the basin. This concentration may be facilitated by the growing Maasai population in that area: much of the baboon’s drinking water during the 5-month dry season, when rain pools are not available, comes from Maasai wells and watering holes. Overall, the baboon population in the Amboseli basin has undergone a period of modest growth during the past two decades, which it is still experiencing. While the population is far below the density it achieved during the 1950s and 1960s, it has expanded considerably relative to its low point in the mid-1980s, now encompassing approximately 1000–1200 baboons (unpublished data).

3. Baboon ecology and flexibility

The persistence and recovery of the Amboseli baboon population in the face of dramatic habitat change reflects the highly flexible and adaptable nature of baboons. Baboons (genus Papio) have a near-continental distribution in Africa, occurring in a wide range of habitats that span deserts with less than 100mm of rainfall annually to montane forests with as much as 2000mm of rainfall annually (e.g., Hamilton, Buskirk & Buskirk 1976; Brain 1990; Henzi, Byrne & Whiten 1992; Cheney et al. 2004; Higham et al. 2009; Lodge et al. 2013). Baboon species all follow the same general foraging strategy: they eat primarily plant parts (leaves, fruits, grass blades, tree gum, and plant underground storage organs) and employ a highly selective approach to identifying the most profitable plant parts to consume; they supplement this diet with invertebrates and occasionally take small vertebrates (Hamilton, Buskirk & Buskirk 1978; Post 1982; Norton et al. 1987; Whiten et al. 1991; Byrne et al. 1993; Altmann 1998). Their ability to occupy such a breadth of habitat types is not achieved by extensive dietary or morphological specializations within the genus: no clear ecological separation was detectable among six well-recognized baboon taxa in a study of eight measures of habitat variability, including vegetation, climate, and geological and soil features (Winder 2014). Winder and colleagues (2014) also found that habitat variation within species is generally greater than variation between species (see also Wango et al. 2018).

In addition to being highly successful generalist foragers, baboons are also highly social, and their sociality is almost certainly a key component of their ecological flexibility. In baboons, as in most mammals, males are the dispersing sex and females remain in their natal group throughout their lives (Pusey 1987). Thus, females have the opportunity to form strong and stable social bonds with kin, as well as with other female group mates (Seyfarth 1976; Silk, Alberts & Altmann 2006; Silk, Altmann & Alberts 2006; Seyfarth, Silk & Cheney 2014). However, females also form strong social bonds with adult males, which may persist for months or even years in some contexts (Seyfarth 1978; Smuts 1985; Silk et al. 2017). Baboons use these social relationships to manage intraspecific competition, confront predation risk, mitigate disease risk, manage psychosocial stress, and gain information about the environment.

4. Survival during the infant and juvenile period

Baboons are born with eyes open, and they have the ability to cling and to suckle. Beyond these abilities, they are relatively helpless, requiring near-constant contact with the mother to survive the first six months of life. Over the course of the nearly five-decade study in Amboseli, mortality in the first year of life has averaged 23% ± 2% (mean ± SE) and has ranged from 0%−60% (calculated annually; N=46 years and 1299 liveborn infants). The average value falls in the range of average infant mortality for other wild nonhuman primate populations (Bronikowski et al. 2011; Colchero et al. 2016).

As a result of pre-adult mortality—deaths between birth and sexual maturity—only ~50% of live-born females reach the median age of first birth (5.95 years) and ~44% of live-born males reach the median age of first mate guarding episode (7.7 years for males), the closest proxy that we can reliably measure for age at first reproduction for males (Alberts & Altmann 2003; McLean et al. in review). Mortality is highest during infancy, defined here as the first year of life. Age-specific survival rates increase dramatically between the first and fourth years of life, and reach a maximum in the fourth year of life for females (nearly 97% survival for 3–4 year-old females) and the fifth year of life for males (nearly 96% survival for 4–5 year-old males) (Alberts & Altmann 2003).

Causes of death are difficult to establish in Amboseli, because predators and scavengers rapidly consume corpses. Further, our ability to establish a cause of death depends on the cause itself. For instance, deaths that involve a sudden disappearance of an otherwise healthy infant (usually when observers are not present) are likely to involve predators. These account for a full 43% of infant deaths; in the majority of these cases we have no direct evidence of the cause of death, although in some we have circumstantial evidence of predators (e.g., nervousness and alarm-calling by the baboons when the infant is first observed missing, or wounds on the mother’s arms). We have direct or corroborating evidence about cause of death for approximately one quarter infant deaths (i.e., 67 of 287 deaths that occurred in the first year of life, out of 1299 live births). Of these, about one third were caused by disease or obvious pathologies, and about half were violent deaths – i.e., the infants were known to be killed by predators or humans, or were killed by conspecifics (including male infanticide, during aggressive interactions between groups, or as a presumed result of female-female competition); a few died in accidents such a falling from trees or drowning at water sources. Because some causes of death are much more likely to be ascertained than others, these proportions certainly do not reflect an unbiased sample.

4.1. Positive social influences on immature survival.

For an Amboseli baboon, surviving infancy and the juvenile period requires not only avoiding predators and disease, but also learning to identify and consume more than 250 types of food in order to successfully navigate the transition to nutritional independence (Altmann 1998). The social environment – particularly but not only interactions with kin – represents an important source of information as well as protection against threats; at the same time, the social environment can pose significant dangers to the developing animal.

Baboons take a highly selective approach to foraging. This means that infants must not only learn which species to eat, but which parts of each species. For example, with many grass species baboons specifically target meristem tissue (Altmann 1998; see also Post 1982; Whiten et al. 1991). Acquiring foraging skills therefore depends on the presence of tolerant and knowledgeable adults whom the developing animal can observe during foraging. In most primates, this role is primarily filled by the mother but other animals can play a substantial role as well (Janson & van Schaik 1993; King 1994; Coussi-Korbel & Fragaszy 1995; Altmann 1998). Evidence of active teaching of immature animals is absent in baboons as it is in most other non-human animals (King 1994; Laland & Hoppitt 2003; Thornton & Raihani 2008). However, the baboon social environment is well-suited to promote social learning, because the close proximity and frequent interactions between adults and immatures mean that infants will often be sitting in and around plants that their neighbors are actively consuming. Not only do older animals thus model the consumption of particular plant species and parts, they also tolerate infants that pick up dropped food scraps. In addition, infants frequently sniff the muzzles of other animals, and disproportionately do so when others are eating (Figure 2; King 1994; Altmann 1998).

Figure 2.

Figure 2.

Muzzle-sniffing by an infant baboon in Amboseli. Muzzle-sniffing appears to be an important source of information about novel foods. Photo courtesy of Catherine Markham.

Mounting evidence supports the idea that the social environment can also help reduce the prevalence or richness of parasites and/or the fitness costs of parasite infection, through a variety of socially-mediated process (Ezenwa et al. 2016; see also Rushmore, Bisanzio & Gillespie 2017). Evidence from several mammal species supports this idea. For example, in Yellowstone wolves, the mortality risks associated with infection by sarcoptic mange can be nearly or completely offset by living with pack-mates rather than solitarily (Almberg et al. 2015). In baboons, too, disease risk may be offset by social behavior. For instance, features of the gut microbiome can have functional consequences for the host, including resistance to invading pathogens (Dillon et al. 2005; Lozupone et al. 2012; Kamada et al. 2013; Nie et al. 2017), and in Amboseli baboons, social group membership and social network relationships predict both the taxonomic structure of the gut microbiome and the structure of genes encoded by gut microbial species (Tung et al. 2015a; Grieneisen et al. 2017). Data from chimpanzees indicates that this social transmission of the gut microbiome may be beneficial, promoting species richness within individuals and creating a microbial meta-community that preserves microbial diversity and that may enable individuals to recover from events that deplete their gut microbiome (Moeller et al. 2016).

A common primate behavior directly linked to both microbiome composition and to other aspects of health is social grooming; infant and young juvenile baboons are groomed intensively by mothers, siblings, and unrelated juveniles and adults (Figure 3a). Importantly, close grooming partners in Amboseli share more similar gut microbiomes than individuals who do not groom each other (Figure 3b; Grieneisen et al. 2017). In addition, baboons that receive more grooming have lower tick loads than individuals that receive less grooming (Figure 3c), and high tick loads are associated with lower packed red cell volume in the blood in Amboseli (Akinyi et al. 2013). High tick loads can also present a direct threat to infant primate survival in some habitats (Brain 1992; Brain & Bohrmann 1992), indicating that the health benefits of grooming may have a significant effect on infant and juvenile survival.

Figure 3.

Figure 3.

A. Gut microbiome dissilimarity, as measured by the Bray-Curtis dissimilarity index, is highest among pairs with the weakest grooming relationships. Details in Grieneisen et al. 2017; figure modified from Grieneisen et al. 2017. B. Individuals that receive more grooming have fewer ticks. Y-axis shows the count of ticks recovered from the entire body while an individual baboon was anaesthetized for blood draw and morphometric measurements; X-axis shows the total number of times an individual was observed being groomed in the six months prior to the tick count. Details in Akinyi et al. 2013; figure modified from Akinyi et al. 2013.

4.2. Negative social influences on immature survival.

Conspecifics can also pose serious threats to an infant’s survival. Sexually-selected infanticide is well-documented in baboons, as in a number of other mammals and birds. In the Okavango delta of Botswana, sexually-selected infanticide accounts for at least 38% and possibly up to 70% of baboon infant deaths (Palombit, Seyfarth & Cheney 1997; Cheney et al. 2004). In comparison, infanticide is relatively uncommon in Amboseli, accounting for only 2.3% of infant deaths over all decades of the study (Zipple et al. 2017). However, the risk of infanticide varies with population demography in Amboseli. When the density of baboon social groups was relatively low in the 1970s and 1980s, so that males had fewer social groups to choose among when they were dispersing, infanticide accounted for at least 11% of infant deaths and was concentrated in groups where many dependent young were present (Zipple et al. 2017). Thus, infanticide is a contingent tactic among male baboons in Amboseli that occurs in response to particular demographic contexts. In these same demographic contexts, immigrant males may persistently target pregnant females in aggressive attacks, with females subsequently experiencing pregnancy termination (Pereira 1983; Alberts, Sapolsky & Altmann 1992; Zipple et al. 2017).

Intergroup competition with conspecifics also represents a danger for immature baboons. Baboon groups have overlapping home ranges, and baboon social groups in Amboseli spend nearly a third of their time each month in areas of home range overlap with neighboring baboon groups. As a result, each social group experiences intergroup encounters several times each month on average (Markham et al. 2013). While intergroup encounters most often involve one group displacing another with no physical conflict, they can occasionally escalate to a lethal level. In such circumstances, infants and young juveniles are the most common victims (Shopland 1982; Markham, Alberts & Altmann 2012, and unpublished data).

Within social groups, too, infants and young juveniles can be vulnerable to conspecifics other than infanticidal males. Specifically, the retrieval and carrying of young infants by non-family group members, usually adolescent females, can have harmful or even fatal consequences. Notably, in some species of primates and other mammals females ‘allomother’ infants that are not their own, grooming them, carrying them during group travel, and even, in some species, suckling them, conferring potential benefits on both mother and offspring (McKenna 1979; Fairbanks 1990; Obrien & Robinson 1991; Packer, Lewis & Pusey 1992; Stanford 1992; Perry 1996; Heldstab, van Schaik & Isler 2017); similar benefits of helpers-at-the-nest have long been recognized for birds (reviewed in Crick 1992). However, in other species, including baboons, the taking and carrying of infants by non-parental individuals is more likely to represent competition among adult females (Quiatt 1979; Silk, Rodman & Samuels 1979; Altmann 1980; Kohda 1985; Shopland & Altmann 1987). At least 5% of infant deaths in Amboseli have occurred after a group member (usually an adolescent female) has taken an infant from the mother and carried or restrained it for hours or days. Baboon infants appear especially vulnerable to this risk in the first two months of life, when the infants themselves are unable to easily escape from the kidnapper; all but two of the confirmed kidnapping deaths have occurred in this period.

5. Growth and development

Infant baboons weigh approximately 0.71 kg at birth. In Amboseli, females grow at a rate of 4.9 g/day until approximately 7 years of age (well past age at first birth), when both statural growth and mass gain slow and then cease within a year or two. Males in Amboseli grow at a rate of 5.5 g/day until approximately 5 years of age, at which point they enter a growth spurt and gain 12.7 g/day until approximately 8 years of age (approximately the age at first mate guarding; Altmann & Alberts 2005). After age 8 years, both statural and mass growth appear to slow (for growth data from captive baboons see Druelle et al. 2017). Baboons subsisting entirely on wild foods in Amboseli may represent relatively slow-growing animals; baboons are capable of substantially faster growth rates, both in the wild and in captivity (see e.g., Johnson 2003; Druelle et al. 2017).

5.1. Maternal and social influences on development.

Offspring growth rates in baboons, as in many organisms, are influenced by maternal effects. For instance, in Amboseli, maternal dominance rank explains 23% of the variation in growth rates of both male and female offspring, with offspring of high-ranking mothers being relatively large-for-age and offspring of low ranking mothers being relatively small-for-age (Altmann & Alberts 2005; see also Johnson 2003 for similar results in wild chacma baboons).

Importantly, this pattern of rank-influenced growth may be strongly dependent upon the nature and abundance of the food source. In Amboseli, we see an effect of maternal rank only in wild-feeding baboons that have no anthropogenic source of nutrition (our main study subjects). We conducted a parallel analysis in a social group that lives near a tourist lodge, where energetic resources are more easily obtainable in the form of food refuse. There, the effect of maternal dominance rank was not statistically significant, although it showed a trend in the same direction (Altmann & Alberts 2005). This comparison highlights the fact that the social environment—specifically dominance rank—will be less important for growth in more energy-rich environments, and conversely that in energy-limited environments social behavior is a major source of variation in resource acquisition.

Relatively rapid growth contributes to comparatively early sexual maturation. The offspring of high-ranking females in Amboseli not only grow faster, they also reach sexual maturity earlier: in a group of 30 adult females, the daughter of the highest-ranking female (ordinal rank 1) is likely to reach maturity approximately 6 months earlier than the daughter of the lowest-ranking female (Altmann & Alberts 2003; see also Altmann & Alberts 2005; Charpentier et al. 2008a; Onyango et al. 2013a). A similar pattern is reported in a number of other primates and some other mammals (Holand et al. 2004; Pusey 2012; Clancey & Byers 2016). However, age at maturity is influenced by a number of other social effects beyond maternal dominance rank, including some that are sex-specific. For instance, the family environment affects age at maturity for females, but not males: female maturity is accelerated when females have more maternal sisters present but delayed in groups with more adult females overall (Charpentier et al. 2008a). In contrast to females, male sexual maturity is slightly accelerated in groups with more adult females, implicating the presence of females as a developmental trigger for male development, but is unaffected by the presence of sisters (Charpentier et al. 2008a).

5.2. Paternal influences on development.

Several studies have documented that young baboons receive beneficent attention from adult males in general, and from their biological fathers in particular. For instance, adult males in Amboseli commonly intervene in agonistic interactions that involve juveniles (invariably supporting the youngest animal in the interaction), and they do so disproportionately on behalf of their own offspring (Buchan et al. 2003). Adult males in two different wild baboon populations are known to spend more time in proximity to their biological offspring than expected by chance, suggesting relatively active paternal investment in baboons (Huchard et al. 2013; Onyango et al. 2013b).

We and others have documented that this paternal presence has functional consequences for offspring in wild baboon populations. Early in the infant’s life, the presence of the father can provide protection against infanticidal males and other potentially dangerous conspecifics (Weingrill 2000; Nguyen et al. 2009; Moscovice et al. 2010). During the juvenile period, the presence of the father enhances the development of social bonds among paternal half-sisters (Lynch et al. 2017; see also Widdig 2007). The presence of the father can also accelerate physical development: in Amboseli, individuals whose fathers are present for most of the juvenile period mature earlier than individuals whose fathers disperse to other social groups when the offspring is relatively young (Charpentier et al. 2008b). In addition, wild juvenile chacma baboons gain access to richer food patches by associating with their biological fathers (Huchard et al. 2013), supporting the idea that paternal presence has the potential to affect juvenile growth.

In the aggregate, then, young baboons may receive considerable support from fathers. Baboons are not the only non-monogamous primate species in which direct or indirect influences of paternal presence have been documented (e.g., rhesus macaques: Widdig et al. 2001; Widdig, Langos & Kulik 2016; chimpanzees: Murray et al. 2016; gorillas: Rosenbaum, Silk & Stoinski 2011; black howlers: Van Belle et al. 2014; Assamese macaques: Minge et al. 2016). However, paternal care has not, to my knowledge, been documented in other non-monogamous mammals or birds. Under what circumstances is paternal care likely to evolve in multi-male animal societies? Direct paternal care will be strongest when paternity certainty is high, when offspring greatly benefit from direct paternal care, and when the energetic and opportunity costs of paternal care are low. Baboons appear to meet all of these conditions in spite of the fact that females mate with multiple males, and that mating occurs year-round. First, female sexual swellings provide relatively precise indicators of ovulation in baboons (but not in all primates: Nunn 1999), and the paracallosal skin of females turns from black to red during the first trimester of the 6-month gestation (Altmann 1973; Bailey, Eberly & Packer 2015; Miller et al. 2017). Thus, adult males have several cues about the timing of conception. Second, the direct benefits of paternal presence to young baboons, described above, may be partly attributable to the very large size of adult male baboons relative to all other members of the group, which may enable males to provide more care, at lower cost, than in primate species that are less size-dimorphic. Third, if the direct paternal care that male baboons exhibit stems chiefly from their large size and the proximity that they and their offspring maintain with each other, paternal protection of youngsters during foraging and other activities may impose few or no energetic or opportunity costs to males who are also seeking mating opportunities.

5.3. Fitness implications of variation in growth and development.

Does the variation in growth and development described in the previous sections have consequences for lifetime fitness? Timing of sexual maturation per se probably has little or no significance for fitness outcomes in the ecological context of Amboseli. Fitness can be strongly influenced by age at first reproduction in some demographic contexts (reviewed in Stearns 1992), but the age at which individuals begin to reproduce in Amboseli contributes little to variation in individual lifetime reproductive success (McLean et al. in review). This is because reproductive lifespan –the largest component of lifetime reproductive success for both males and females – is almost entirely determined by age at death, which is extremely variable in Amboseli as in most wild primate populations (Altmann, Altmann & Hausfater 1988; Colchero et al. 2016; McLean et al. in review). Thus, although variation in age at maturity appears substantial when considered in isolation, its variation is quite small in comparison to variation in age at death and this limits its potential impact on individual fitness in a population such as Amboseli (McLean et al. in review).

However, while the direct fitness consequences of delayed versus accelerated maturation may be limited for Amboseli baboons, delayed growth during the juvenile period has potentially important implications through other pathways. For one thing, baboons that grow more slowly may have lower juvenile survival; while such a survival disadvantage has not been examined in baboons, it has been observed in captive rhesus macaques, a species that has a generalist foraging strategy and slow life history similar to baboons (Nunez et al. 2015). In addition, baboons that grow more slowly may achieve a smaller adult body size: baboons in Amboseli tend to be consistently small-for-age or large-for-age throughout the juvenile period, suggesting a lack of compensatory growth prior to reproduction (Altmann & Alberts 2005). Indeed, poor early environments have been linked to smaller adult body size in many vertebrates, including humans (Post et al. 1997; Toigo, Gaillard & Michallet 1999; Festa-Bianchet, Jorgenson & Reale 2000; Pucciarelli et al. 2000; Pettorelli et al. 2002; Solberg et al. 2008; Lumey, Stein & Susser 2011; Hoddinott et al. 2013). And, while compensatory growth is documented in many animal taxa, including humans and other mammals (reviewed in Metcalfe & Monaghan 2003; Mangel & Munch 2005; Hector & Nakagawa 2012, it does not occur in all species or all ecological contexts (e.g., Toigo, Gaillard & Michallet 1999; Festa-Bianchet, Jorgenson & Reale 2000; Solberg et al. 2008). Additionally, in small mammals, fish, and lizards, compensatory growth can lead to significant fitness costs, most notably in reduced adult survival (reviewed in Metcalfe & Monaghan 2003; Mangel & Munch 2005; Hector & Nakagawa 2012), although evidence for such costs is limited in large, slow-growing mammals (see, e.g., Marcil-Ferland et al. 2013).

The fitness consequences of small adult body size may be substantial. Although we know virtually nothing about this subject in wild primates, it is a key predictor of survival, fertility, or both, in a large range of mammals and birds (e.g., Soay sheep: Coltman et al. 1999; Wilson et al. 2007; bighorn sheep: Festa-Bianchet, Jorgenson & Reale 2000; Gaillard et al. 2000; red deer: Post et al. 1997; roe deer: Gaillard et al. 2000; domestic sheep: Gunn 1977; cliff swallows: Brown & Brown 1998; great tits: Both, Visser & Verboven 1999). Indeed, positive selection for larger body size appears to be a highly consistent pattern in natural populations of both vertebrates and invertebrates, with larger size generally favored by both natural and sexual selection (Kingsolver & Pfennig 2004).

Thus, social effects on growth and maturation take on additional significance if the nutritional differences that produce slow juvenile growth result in small adult body size, and if adult body size is linked directly or indirectly to survival or reproduction in baboons. We currently lack the data to directly test these links in the Amboseli baboons, and I know of no other wild primate population with the requisite data. However, several lines of evidence from Amboseli support the idea that early nutrition has lasting consequences for phenotypic quality in baboons. The first line of evidence was established by Stuart Altmann (Altmann 1991), who conducted a detailed study of nutritional intake by 12 individual baboons, 6 males and 6 females between 30 and 70 weeks of age (the period of transition to nutritional independence). He found that none of the subjects came close to achieving their estimated optimal energy intake for growth and maintenance (given constraints of time, other macronutrients, and so on; see Altmann 1991; Altmann 1998 for details). However, when he examined the lifetime reproductive output of the females in his dataset, 15 years later when they had lived through much or all of their adulthood, he found that their estimated energy shortfall during infancy strongly predicted multiple measures of lifetime reproductive success. For instance, the degree of energy shortfall during the weaning period accounted for 89% of the variance in female reproductive lifespan and 95% of the variance in the number of live infant females produced over the lifetime. In other words, infant females that took in more energy during the transition to independence had higher lifetime fitness (Altmann 1991). Several other, less direct lines of evidence about the importance of early nutrition and growth are discussed below.

6. Adulthood: competition and cooperation

Social living enhances the competitive and defensive power of an individual in multiple ways. It facilitates collective action (against predators and against conspecific groups), reduces individual predation risk, and enhances the acquisition and transfer of information about the environment (e.g., Alexander 1974; Chapman & Chapman 2001; Markham & Gesquiere 2017; Powers & Lehmann 2017). However, social living also ensures that competition with group-mates is a defining feature of life (Janson & Vanschaik 1988). Baboon ecology is certainly influenced by competition, and in some cases, commensalism, with other animal species in their environment (Altmann & Altmann 1970), but they experience the most intense competition with conspecifics. The resources over which baboons compete include food (primarily plants), waterholes, sleeping sites, and sexual partners; competition for non-sexual social partners may also be important but has been less extensively studied than other types of competition.

A second defining feature of baboon social life is cooperative affiliation. Cooperation occurs both in the form of collective action (e.g., displacing of other social groups during intergroup encounters, aggressive coalitions during within-group conflicts, collective defense against predators) and by providing social services to conspecifics (e.g., support during agonistic interactions and grooming). Individual baboons vary in their frequency of competitive and cooperative interactions, and also presumably in their effectiveness in these interactions. This variation provides a rich vein for research on variation in fitness outcomes. Below, I first discuss competitive and cooperative interactions that are known or suspected to influence fitness outcomes, and then summarize our research on sources of individual differences in these outcomes, including differences that arise in early life.

6.1. Within-group competition and cooperation: social dominance rank and social affiliation.

In baboons, as in many social species, competition with group-mates is strongly influenced by individual dominance rank. The relationship between dominance rank and male mating success, for instance, has been intensively studied in primates and other mammals (reviewed in Cowlishaw & Dunbar 1991 for primates, Clutton-Brock 2016 for mammals). In Amboseli, high-ranking male baboons experience higher mating success than low-ranking males, but the magnitude of their advantage is density-dependent: the strongest advantage to rank occurs in relatively small social groups, in which high-ranking males are able to enforce a mating queue. For instance, the highest-ranking adult male in a small group (e.g., 3 adult males) can expect to obtain up to 85% of mating opportunities, while the highest-ranking adult male in a group with 10 adult males is likely to obtain less than 20% of mating opportunities, assuming a relatively constant sex ratio across group sizes (Alberts, Watts & Altmann 2003). In larger social groups, agonistic coalitions between males allow lower-ranking males to ‘jump the queue’ and obtain more mating opportunities than predicted by their dominance rank (Alberts, Watts & Altmann 2003).

Dominance rank also influences access to food. While direct estimates of food intake are difficult to obtain in wild animals, high-ranking animals are known to obtain more nutrients than lower ranking ones in a wide range of primates and other mammal species (e.g., Hanuman langurs: Koenig 2000; baboons: Barton, Byrne & Whiten 1996; capuchin monkeys: Di Bitetti & Janson 2001; bison: Vervaecke, Roden & De Vries 2005; reindeer: Holand et al. 2004; red deer: Wilson et al. 2011; Ceacero et al. 2012). How does dominance rank influence nutritional intake? For one thing, high-ranking individuals have priority of access to food and other resources. For instance, high-ranking baboons of both sexes in Amboseli experience fewer feeding interruptions from conspecifics (terminations of feeding bouts brought about by the approach and/or aggressive behavior of a conspecific), and hence longer feeding bouts than lower ranking individuals (Post, Hausfater & McCuskey 1980).

In addition, high-ranking individuals may intensify this advantage through direct interference with group-mates during foraging. Many baboon foods (e.g., grass corms, tree gum, tubers) require digging, opening, extracting, or separating from a substrate (Shopland 1987; Altmann 1998), suggesting that these types of foods may be particularly good targets for the conspecific feeding interruptions that are common in baboon groups. Surprisingly, however, these interruptions are independent of a food’s dispersion, its processing time, and its rate of yield: higher-ranking baboons interrupt the feeding of lower-ranking ones indiscriminately with respect to food type (Shopland 1987). Notably, in contrast to the interrupting animal, the response of the victim is highly sensitive to both processing time and the rate of yield of a food item: baboons are more likely to resist attempted takeovers of foods that require more processing time or have a higher yield rate. In combination, these results suggest that aggressors do not interrupt feeding bouts strategically to maximize their own nutrient gain, but instead to disrupt and harass lower-ranking conspecifics, even over dispersed food sources (Shopland 1987). The consequence is an intricately mixed pattern of scramble and contest competition over food within social groups (Markham & Gesquiere 2017), producing advantages to high-ranking animals even when food resources are dispersed.

The energetic advantages to high rank that result from this competitive regime probably underlie the higher reproductive rates that high-ranking female baboons experience. Specifically, high-ranking females have shorter periods of post-partum (lactational) amenorrhea following the birth of an infant: a difference of 10 rank positions corresponds to a 33-day difference in the duration of post-partum amenorrhea (Gesquiere, Altmann & Alberts 2018). Similar results are reported in other baboon populations (Smuts & Nicolson 1989; Packer et al. 1995; Wasser et al. 1998; Johnson 2003; Wasser et al. 2004; see also Setchell & Wickings 2004 in mandrils). Further, both female baboons and women in non-industrial societies typically experience a negative energy balance during lactation (i.e., they expend more calories than they consume) and do not resume reproductive cycling until their infant has achieved sufficient nutritional independence that the mother returns to a positive energy balance (i.e., takes in more energy than she expends) (Ellison 2003; Valeggia & Ellison 2009; Ellison 2017; Gesquiere, Altmann & Alberts 2018; see also Emery Thompson 2013 for chimpanzees). In baboons, social dominance rank appears to strongly influence the ability of females to achieve this positive energy balance (Gesquiere, Altmann & Alberts 2018).

Baboon social life is also strongly influenced by affiliative social interactions, most notably the exchange of grooming. Female baboons in Amboseli spend 5–15% of their time in grooming and other social activities, and grooming time increases when food is more abundant (i.e., in the wet season and in higher quality habitats: Bronikowski & Altmann 1996; Alberts et al. 2005). In primates, grooming is exchanged both for being groomed and for rank-related benefits, particularly agonistic support, in a wide range of primate species (see e.g., meta-analyses in Schino 2007; Schino & Aureli 2008). A well-established model proposes that lower-ranking females obtain rank-related benefits in exchange for grooming higher-ranking females, and thus that, in the aggregate, more grooming will be directed from lower- to higher-ranking females than the reverse, and that grooming will be most frequent between adjacently-ranked females (Seyfarth 1977). These predictions are generally borne out in both New World and Old World primates (Schino 2001; Tiddi, Aureli & Schino 2012). At the same time, female primates appear quite sensitive to reciprocity in the exchange of grooming: female primates tend to preferentially groom those group-mates from whom they receive the most grooming, and in baboons, the most stable social relationships are characterized by high reciprocity in grooming exchanges (Silk, Alberts & Altmann 2006; Schino & Aureli 2008; Silk et al. 2010a).

In baboons, affiliative social interactions either directly cause variation in immature and adult survival or are predicted by other traits that do so. That is, the extent to which an adult female is socially integrated versus socially isolated within the context of the social group – measured in several different ways – has been linked to offspring survival, adult survival, or both, in three different wild baboon populations, including Amboseli baboons (Figure 4; Silk, Alberts & Altmann 2003; Silk et al. 2009; Silk et al. 2010b; Archie et al. 2014; McFarland et al. 2017). Further, the magnitude of this effect is quite striking: in Amboseli, adult females at the 75th percentile for social connectedness (a measure of the grooming frequency with social partners) live an average of 5 or more years longer than females at the 25th percentile of social connectedness (Figure 4 and Archie et al. 2014). This result for adult survival closely parallels studies in humans that demonstrate a link between social integration and both health and survival in adulthood (Marmot 2004; Holt-Lunstad, Smith & Layton 2010). Whether this effect is causal – so that social relationships in adulthood can mitigate the negative effects of other environmental variables on health – or whether social relationships are predicted by overall phenotypic quality, which in turns predicts survival, remains to be tested.

Figure 4.

Figure 4.

Survivorship for female baboons in Amboseli at the 75th percentile (blue) and 25th percentile (red) of social connectedness to other adult males and other adult females (effects combined; N=204 females, Cox proportional hazards). Females at the 75th percentile for connectedness to other adult females were 34% less likely to die in a given year than females at the 25th percentile, and females at the 75th percentile for connectedness to adult males were 45% less likely to die in a given year than females at the 25th percentile. Modified from Archie et al. 2014.

6.2. Between-group competition: group size.

Competition between groups for access to rich food patches, water sources, and sleeping sites can modify the net costs of competition within groups, depending upon group size. Generally, larger groups should be more successful than smaller groups in between-group competition, through their ability to displace smaller groups at resources. Thus, the disadvantages of within-group competition, which will generally increase with increasing group size, may be offset by the advantages experienced by large groups in between-group competition (Wrangham 1980; van Schaik 1983; Chapman & Chapman 2001; Grove 2012; Scarry 2013; Chapman & Valenta 2015; Markham & Gesquiere 2017; Powers & Lehmann 2017). This competitive tension suggests that intermediate-sized groups may experience the most favorable balance of within-group and between-group competition.

In support, female baboons in Amboseli that live in intermediate-sized groups have energetic advantages over females in large and small groups (Markham et al. 2015). Specifically, we have demonstrated U-shaped relationships between group size and (i) home range area, (ii) average daily distance traveled by groups, and (iii) average glucocorticoid concentrations for females, with females in intermediate-sized groups showing the lowest values for all three measures (Figure 5). These results are consistent with the idea (which awaits direct testing) that large groups are the most highly constrained by within-group competition, whereas small groups are the mostly highly constrained by between-group competition and predation pressures (Markham et al. 2015; Markham & Gesquiere 2017).

Figure 5.

Figure 5.

A. Female baboons in the largest and smallest social groups travel the longest distances each day. B. They also have the highest fecal glucocorticoid (fGC) concentrations. The figures show simple bivariate relationships, with the equations and lines describing the curvilinear relationships. Each point represents a single group-month: N=120 for records of daily travel, N=632 for fGC. Modified from Markham et al. 2015.

7. The long reach of early life

7.1. The effects of the early life environment on adult behavior and fitness outcomes.

As noted above, only ~50% of females and ~44% of males in Amboseli reach their sex-specific age at first reproduction; thus, simply failing to reproduce is a major source of variation in individual fitness for Amboseli baboons, as for many organisms. However, even among baboons that reach adulthood, considerable variation in lifetime fitness is evident (Altmann, Altmann & Hausfater 1988; Alberts, Buchan & Altmann 2006; McLean et al. in review). While many sources of this variation remain unclear, it is increasingly obvious that in Amboseli, circumstances early in development (during infancy and the juvenile period) play a major role.

For instance, a detailed analysis of female fertility demonstrated that adult female baboons are less likely to resume sexual cycling and less likely to conceive during drought years than in years with average rainfall (Lea et al. 2015). Notably, this effect is strongest among females that were themselves born during droughts. This result implicates early nutrition as a predictor of compromised fertility in adulthood (Lea et al. 2015). Similar ‘silver spoon’ effects of early life condition on adult fertility have been reported in several other studies of birds and mammals (e.g., roe deer: Douhard et al. 2014; humans: Hayward, Rickard & Lummaa 2013; red deer: Nussey et al. 2007; bighorn sheep: Pigeon & Pelletier 2018; barn swallows: Balbontin & Moller 2015; tawny owls: Millon et al. 2011; house wrens: Bowers, Thompson & Sakaluk 2017; goshawks: Herfindal et al. 2015).

Early life circumstances predict not only fertility, but also adult survival in Amboseli females. In the case of survival, we examined six adverse circumstances during infancy and the juvenile period: drought in the first year of life, being born in a large group, being born to a low-ranking mother, being born to a socially-isolated mother, having a close-in-age younger sibling (i.e., a sibling born after an interbirth interval of 1.5 years or less, representing the lowest quartile of interbirth intervals), and losing one’s mother before the age of four years (Tung et al. 2016). Most of these circumstances have clear consequences for nutrition and resource acquisition; some or all may also function through psychosocial mechanisms. We observed a powerful negative effect of the accumulation of multiple early adverse circumstances on adult lifespan. Among individuals that survive to adulthood, females who experience ≥3 sources of early adversity die a median of 10 years earlier than females who experience one or no adverse circumstances; this is a large effect given that the median lifespan is 18.5 years among females that survive to adulthood (Figure 6).

Figure 6.

Figure 6.

Survivorship for adult female baboons that experience different numbers of adverse circumstances in early life: blue line = no early adverse circumstances, red line = 3 or more early adverse circumstances (N=196, hazard ratio = 1.9, Cox proportional hazards). Modified from Tung et al. 2016.

Several other studies of birds and mammals have shown effects of early life conditions on adult survival, although such studies typically focus on one or two measures of the early life environment, such as rainfall, temperature, or population density (e.g., goshawks: Herfindal et al. 2015; red-billed choughs: Reid et al. 2003; Mauritius kestrels: Cartwright et al. 2014; oystercatchers: Van de Pol et al. 2006; humans: Hayward, Rickard & Lummaa 2013). In designing our study, we followed the tradition in the human literature and created a cumulative index that summed the number of adverse circumstances an individual experienced in early life. Such cumulative indices have proven highly predictive of a range of measures of health and survival in contemporary human populations (e.g., Felitti et al. 1998; Evans 2003; Schilling, Aseltine & Gore 2008; Seeman et al. 2010). Our cumulative model explained slightly more variance than a multivariate model that entered all six adverse events separately. Furthermore, a cumulative model that excluded maternal loss and close-in-age sibling – the two early adverse circumstances that reliably predicted adult survival in the multivariate model – still explained significant variation in adult survival. This result indicates that the accumulation of multiple adverse circumstances in early life, even those that may appear to have relatively little impact on their own, has negative consequences for long-term survival (Tung et al. 2016).

Intriguingly, females who experience the most adverse circumstances in early life also tend to be socially isolated in adulthood from other adult females, although not from adult males (Tung et al. 2016). Because adult social relationships are linked to health and/or survival in several species of mammals, including humans, (Yee et al. 2008; Holt-Lunstad, Smith & Layton 2010; Silk et al. 2010b; Barocas et al. 2011; Archie et al. 2014), this result suggests that social processes may partially explain the link between early adversity and adult survival. As noted above, it remains to be tested whether this link is causal, or whether social relationships are simply correlated with overall phenotypic quality, which in turn drives survival. If the link is causal, then the effects of early adversity on survival in Amboseli females may stem not only from nutrition-based differences in female quality but may be partly explained by the relative social isolation of high-adversity females.

Another feature of the relationship between the social environment and fitness outcomes that we have yet to fully understand is the link between the social integration of a female’s mother during the female’s early life and her survival as an adult (Tung et al. 2016). Of the six adverse circumstances that we examined, this one seems the least likely to be linked to early nutrition, again suggesting that social processes may have effects on survival that are not strictly linked to nutrition. In any case, the striking link between adult survival and social integration – both a female’s own during adulthood, and her mother’s during the female’s early life – points to individual-specific social experiences as potentially critical components of the environment that must be taken into account in understanding environmental influences on fitness.

7.2. Cohort effects versus individual-specific effects.

Cohort effects – effects of a common early environment on long-term survival or reproduction – occur when sets of individuals are born close in time, in the same environment, and experience the same environmental conditions (e.g., rainfall or population density). In seasonal breeders, cohort effects and early life circumstances are often equivalent. For instance, for roe deer, year-to-year variation in rainfall may affect fawn survival, adult female body mass, adult female fertility, and/or adult female survival, depending on the overall quality of the environment (Gaillard et al. 1997; Douhard et al. 2014). In red deer on the Isle of Rum, environmental quality is heavily driven by variation in population density; there, a striking cohort effect involves faster reproductive aging for female red deer born in years with high population density (Nussey et al. 2007). In bighorn sheep, too, high population density in early life has negative consequences for both age at first reproduction and lifespan (Pigeon & Pelletier 2018). Examples of such cohort effects on survival or reproduction, for one sex or both, are common in seasonally breeding animals, including lizards (Marquis, Massot & Le Galliard 2008; Le Galliard, Marquis & Massot 2010), red squirrels (Descamps et al. 2009), and multiple species of birds (e.g., great tits: Visser & Verboven 1999; Wilkin & Sheldon 2009; barn owls: Roulin 2002; kittiwakes: Cam, Monnat & Hines 2003; oystercatchers: Van de Pol et al. 2006).

In contrast, cohort effects will be greatly diminished – and potentially swamped by individual-level variation – in species that are both highly social and non-seasonal. The first reason for this is that in non-seasonal breeders, births are spread throughout the year, so that individuals born within the same hydrological year (i.e., during the period between the beginning of the rains one year and the beginning of the rains the next) will often experience dramatically different environmental conditions in early life (e.g., if one is born in the dry season and one in the wet season, or one at the beginning of the year and one at the end). In addition, the period of maternal care, including lactation, may vary considerably for non-seasonal breeders: in female baboons in Amboseli, the period of lactational amenorrhea between two successive live births ranges from 71 to 635 days (Gesquiere, Altmann & Alberts 2018). These circumstances mean that, to capture early life effects, individual-specific metrics of the early environment must be used, such as rainfall in the 12 months following an individual’s birthdate (e.g., Lea et al. 2015), or the length of the birth interval following an individual’s birth (e.g., Tung et al. 2016).

The second reason is that for primates the social environment may be profoundly different for different individuals, even if they are born in the same group at the same time. For instance, dominance rank and affiliative social relationships are two aspects of the environment that can have major consequences for individuals in many species. For baboons, both of these aspects of the social environment vary greatly both among individuals and within individuals over time (e.g., Samuels, Silk & Altmann 1987; Silk, Alberts & Altmann 2006; Silk, Altmann & Alberts 2006; Archie et al. 2014; Lea et al. 2014). Such individual-specific circumstances may amplify or diminish the effects of poor environmental conditions (Lomnicki 1978; Hamel et al. 2009). For primates and other highly social species, individual differences in the environment may be greater in number or magnitude than aspects that are experienced in common. As a consequence, we may observe more environmentally-driven individual-level variation in highly social, non-seasonally breeding species such as baboons than in many other animals.

8. Conclusions – the importance of long-term studies

The synthesis of research presented here demonstrates some of the ways in which social interactions fundamentally shape the lifetime performance of animals. Many of these insights would be impossible to achieve without long-term data. Most of the results described here –the effects of the social environment on growth and development, the link between the social environment and the survival of infants and adults, and the effects of early life circumstances on adult lifespan and fertility – required multi-year longitudinal data on known individuals. Equally importantly, the accumulation of long-term behavioral and life history data has been accompanied, in Amboseli as in several other long-term studies, by the accumulation of biological samples from known individuals. This sample collection has positioned us to begin probing the evolution of important traits by combining genetic, phenotypic, and environmental data on the same individuals (e.g., see Tung, Alberts & Wray 2010; Tung et al. 2015b; Lea et al. 2016; Wall et al. 2016; for examples of evolutionary genetic insights from other long-term studies see Abzhanov et al. 2006; Johnston et al. 2013; Rands et al. 2013; Berenos et al. 2015; Johnston et al. 2016).

Long-term studies face limitations and challenges, just as short-term studies do (Festa-Bianchet et al. 2017). In spite of these challenges, which include the need for ongoing funding and the constant challenge of sustaining day-to-day data collection, the centrality of long-term studies in the effort to understand the evolution of social behavior and life histories is well-recognized. Such studies are just beginning to realize their potential for providing unprecedented insight into the evolution and functional significance of social behavior (Clutton-Brock & Sheldon 2010; Festa-Bianchet et al. 2017).

Acknowledgments

I thank Jeanne Altmann, Elizabeth Archie, and Jenny Tung for their collaborative commitment to running the Amboseli Baboon Research Project; none of the research described here would have been possible without dedicated teamwork and unflagging effort. Particular thanks also go to the Amboseli Baboon Project long-term field team for their excellent data collection (R.S. Mututua, S. Sayialel, and J.K. Warutere), and to T. Wango and V. Oudu for their untiring assistance in Nairobi. The baboon project database, Babase, is expertly managed by N. Learn and J. Gordon; database design and programming have been provided by K. Pinc since 1993. The Kenya Wildlife Service, University of Nairobi, Institute of Primate Research, National Museums of Kenya, and the Kenya National Council for Science, Technology, and Innovation have all provided logistical and administrative support. The members of the Amboseli-Longido pastoralist communities, Ker & Downey Safaris, Air Kenya, and Safarilink have provided gracious cooperation and assistance in the field. I received helpful comments on the manuscript from Jeanne Altmann, Elizabeth Archie, Fernando Campos, Marco Festa-Bianchet, Arielle Fogel, Jean-Michel Gailliard, Catherine Markham, Laurence Gesquiere, Chase Nuñez, and Jenny Tung. I thank Duke University for financial and logistical support. The National Science Foundation and the National Institutes of Health have provided financial support for the Amboseli Baboon Research Project for many years, currently through NSF IOS 1456832, and through NIH R01AG053330, R01HD088558, and P01AG031719. For a complete set of acknowledgments of funding sources, logistical assistance, and data collection and management, please visit http://amboselibaboons.nd.edu/acknowledgements/. I declare no conflicts of interest in the writing of this manuscript.

Footnotes

Data accessibility

This paper does not use data.

References

  1. Abzhanov A, Kuo WP, Hartmann C, Grant BR, Grant PR & Tabin CJ (2006) The calmodulin pathway and evolution of elongated beak morphology in Darwin’s finches. Nature, 442, 563–567. [DOI] [PubMed] [Google Scholar]
  2. Ackermann RR, Rogers J & Cheverud JM (2006) Identifying the morphological signatures of hybridization in primate and human evolution. Journal of Human Evolution, 51, 632–645. [DOI] [PubMed] [Google Scholar]
  3. Akinyi MY, Tung J, Jeneby M, Patel NB, Altmann J & Alberts SC (2013) Role of grooming in reducing tick load in wild baboons (Papio cynocephalus). Animal Behaviour, 85, 559–568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Alberts SC & Altmann J (2001) Immigration and hybridization patterns of yellow and anubis baboons in and around Amboseli, Kenya. American Journal of Primatology, 53, 139–154. [DOI] [PubMed] [Google Scholar]
  5. Alberts SC & Altmann J (2003) Matrix models for primate life history analysis Primate life histories and socioecology (eds Kappeler PM& Pereira ME). University of Chicago Press, Chicago. [Google Scholar]
  6. Alberts SC, Buchan JC & Altmann J (2006) Sexual selection in wild baboons: From mating opportunities to paternity success. Animal Behaviour, 72, 1177–1196. [Google Scholar]
  7. Alberts SC, Hollister-Smith J, Mututua RS, Sayialel SN, Muruthi PM, Warutere JK & Altmann J (2005) Seasonality and long-term change in a savannah environment Seasonality in primates: Studies of living and extinct human and non-human primates (eds Brockman DK & Van Schaik CP), pp. 157–196. Cambridge University Press, Cambridge. [Google Scholar]
  8. Alberts SC, Sapolsky RM & Altmann J (1992) Behavioral, endocrine, and immunological correlates of immigration by an aggressive-male into a natural primate group. Hormones and Behavior, 26, 167–178. [DOI] [PubMed] [Google Scholar]
  9. Alberts SC, Watts HE & Altmann J (2003) Queuing and queue-jumping: Long-term patterns of reproductive skew in male savannah baboons, Papio cynocephalus. Animal Behaviour, 65, 821–840. [Google Scholar]
  10. Alexander RD (1974) The evolution of social behavior. Annual Review of Ecology and Systematics, 5, 324–383. [Google Scholar]
  11. Almberg ES, Cross PC, Dobson AP, Smith DW, Metz MC, Stahler DR & Hudson PJ (2015) Social living mitigates the costs of a chronic illness in a cooperative carnivore. Ecology Letters, 18, 660–667. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Altmann J (1980) Baboon mothers and infants Harvard University Press, Cambridge, MA. [Google Scholar]
  13. Altmann J & Alberts SC (2003) Intraspecific variability in fertility and offspring survival in a nonhuman primate: Behavioral control of ecological and social sources Offspring: Human fertility behavior in biodemographic perspective (ed. Wachter KWB, Bulatao RA), pp. 140–169. National Academies Press, Washington, D.C. [PubMed] [Google Scholar]
  14. Altmann J & Alberts SC (2005) Growth rates in a wild primate population: Ecological influences and maternal effects. Behavioral Ecology and Sociobiology, 57, 490–501. [Google Scholar]
  15. Altmann J, Altmann S & Hausfater G (1988) Determinants of reproductive success in savannah baboons (Papio cynocephalus) Reproductive success (ed. Clutton-Brock TH), pp. 403–418. University of Chicago Press, Chicago. [Google Scholar]
  16. Altmann J, Hausfater G & Altmann SA (1985) Demography of Amboseli baboons, 1963–1983. American Journal of Primatology, 8, 113–125. [DOI] [PubMed] [Google Scholar]
  17. Altmann SA (1973) The pregnancy sign in savannah baboons. The Journal of Zoo Animal Medicine, 4, 8–12. [Google Scholar]
  18. Altmann SA (1991) Diets of yearling female primates (Papio cynocephalus) predict lifetime fitness. Proceedings of the National Academy of Sciences of the United States of America, 88, 420–423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Altmann SA (1998) Foraging for survival. University of Chicago Press, Chicago. [Google Scholar]
  20. Altmann SA & Altmann J (1970) Baboon ecology. University of Chicago Press, Chicago. [Google Scholar]
  21. Archie EA, Tung J, Clark M, Altmann J & Alberts SC (2014) Social affiliation matters: Both same-sex and opposite-sex relationships predict survival in wild female baboons. Proceedings of the Royal Society B-Biological Sciences, 281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Bailey A, Eberly LE & Packer C (2015) Does pregnancy coloration reduce female conspecific aggression in the presence of maternal kin? Animal Behaviour, 108, 199–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Balbontin J & Moller AP (2015) Environmental conditions during early life accelerate the rate of senescence in a short-lived passerine bird. Ecology, 96, 948–959. [DOI] [PubMed] [Google Scholar]
  24. Barocas A, Ilany A, Koren L, Kam M & Geffen E (2011) Variance in centrality within rock hyrax social networks predicts adult longevity. PLoS One, 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Barton RA, Byrne RW & Whiten A (1996) Ecology, feeding competition and social structure in baboons. Behav. Ecol. Sociobiol, 38, 321–329. [Google Scholar]
  26. Berenos C, Ellis PA, Pilkington JG, Lee SH, Gratten J & Pemberton JM (2015) Heterogeneity of genetic architecture of body size traits in a free-living population. Molecular Ecology, 24, 1810–1830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Bergman TJ, Phillips-Conroy JE & Jolly CJ (2008) Behavioral variation and reproductive success of male baboons (Papio anubis x Papio hamadryas) in a hybrid social group. American Journal of Primatology, 70, 136–147. [DOI] [PubMed] [Google Scholar]
  28. Both C, Visser ME & Verboven N (1999) Density-dependent recruitment rates in great tits: The importance of being heavier. Proceedings of the Royal Society B-Biological Sciences, 266, 465–469. [Google Scholar]
  29. Bowers EK, Thompson CF & Sakaluk SK (2017) Maternal natal environment and breeding territory predict the condition and sex ratio of offspring. Evolutionary Biology, 44, 11–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Brain C (1990) Spatial usage of a desert environment by baboons (Papio ursinus). Journal of Arid Environments, 18, 67–73. [Google Scholar]
  31. Brain C (1992) Deaths in a desert baboon troop. International Journal of Primatology, 13, 593–599. [Google Scholar]
  32. Brain C & Bohrmann R (1992) Tick infestation of baboons (Papio ursinus) in the Namib Desert. Journal of Wildlife Diseases, 28, 188–191. [DOI] [PubMed] [Google Scholar]
  33. Bronikowski A & Altmann J (1996) Foraging in a variable environment: Weather patterns and the behavioral ecology of baboons. Behav. Ecol. Sociobiol, 39, 11–25. [Google Scholar]
  34. Bronikowski AM, Altmann J, Brockman DK, Cords M, Fedigan LM, Pusey A, Stoinski T, Morris WF, Strier KB & Alberts SC (2011) Aging in the natural world: Comparative data reveal similar mortality patterns across primates. Science, 331, 1325–1328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Brown CR & Brown MB (1998) Intense natural selection on body size and wing and tail asymmetry in cliff swallows during severe weather. Evolution, 52, 1461–1475. [DOI] [PubMed] [Google Scholar]
  36. Buchan JC, Alberts SC, Silk JB & Altmann J (2003) True paternal care in a multi-male primate society. Nature, 425, 179–181. [DOI] [PubMed] [Google Scholar]
  37. Byrne RW, Whiten A, Henzi SP & McCulloch FM (1993) Nutritional constraints on mountain baboons (Papio ursinus): Implications for baboon socioecology. Behavioral Ecology and Sociobiology, 33, 233–246. [Google Scholar]
  38. Cam E, Monnat JY & Hines JE (2003) Long-term fitness consequences of early conditions in the kittiwake. Journal of Animal Ecology, 72, 411–424. [Google Scholar]
  39. Cartwright SJ, Nicoll MAC, Jones CG, Tatayah V & Norris K (2014) Anthropogenic natal environmental effects on life histories in a wild bird population. Current Biology, 24, 536–540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Ceacero F, Garcia AJ, Landete-Castillejos T, Bartosova J, Bartos L & Gallego L (2012) Benefits for dominant red deer hinds under a competitive feeding system: Food access behavior, diet and nutrient selection. PLoS One, 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Chapman CA & Chapman LJ (2001) Determinants of group size in primates: The importance of travel costs On the move: How and why animals travel in groups (eds Boinski S & Garber PA), pp. 24–42. University of Chicago Press, Chicago. [Google Scholar]
  42. Chapman CA & Valenta K (2015) Costs and benefits of group living are neither simple nor linear. Proceedings of the National Academy of Sciences of the United States of America, 112, 14751–14752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Charpentier MJE, Fontaine MC, Cherel E, Renoult JP, Jenkins T, Benoit L, Barthes N, Alberts SC & Tung J (2012) Genetic structure in a dynamic baboon hybrid zone corroborates behavioural observations in a hybrid population. Molecular Ecology, 21, 715–731. [DOI] [PubMed] [Google Scholar]
  44. Charpentier MJE, Tung J, Altmann J & Alberts SC (2008a) Age at maturity in wild baboons: Genetic, environmental and demographic influences. Molecular Ecology, 17, 2026–2040. [DOI] [PubMed] [Google Scholar]
  45. Charpentier MJE, Van Horn RC, Altmann J & Alberts SC (2008b) Paternal effects on offspring fitness in a multimale primate society. Proceedings of the National Academy of Sciences of the United States of America, 105, 1988–1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Cheney DL, Seyfarth RM, Andelman SJ & Lee PC (1988) Reproductive success in vervet monkeys Reproductive success: Studies of individual variation in contrasting breeding systems (ed. Clutton-Brock TH), pp. 384–402. University of Chicago Press, Chicago. [Google Scholar]
  47. Cheney DL, Seyfarth RM, Fischer J, Beehner J, Bergman T, Johnson SE, Kitchen DM, Palombit RA, Rendall D & Silk JB (2004) Factors affecting reproduction and mortality among baboons in the Okavango Delta, Botswana. International Journal of Primatology, 25, 401–428. [Google Scholar]
  48. Clancey E & Byers JA (2016) A comprehensive test of the Trivers-Willard hypothesis in pronghorn (antilocapra americana). Journal of Mammalogy, 97, 179–186. [Google Scholar]
  49. Clutton-Brock T & Sheldon BC (2010) The seven ages of Pan. Science, 327, 1207–1208. [DOI] [PubMed] [Google Scholar]
  50. Clutton-Brock TH (2016) Mammal societies. John Wiley & Sons, Ltd, Chichester, West Sussex. [Google Scholar]
  51. Colchero F, Rau R, Jones OR, Barthold JA, Conde DA, Lenart A, Nemeth L, Scheuerlein A, Schoeley J, Torres C, Zarulli V, Altmann J, Brockman DK, Bronikowski AM, Fedigan LM, Pusey AE, Stoinski TS, Strier KB, Baudisch A, Alberts SC & Vaupel JW (2016) The emergence of longevous populations. Proceedings of the National Academy of Sciences of the United States of America, 113, E7681–E7690. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Coltman DW, Smith JA, Bancroft DR, Pilkington J, MacColl ADC, Clutton-Brock TH & Pemberton JM (1999) Density-dependent variation in lifetime breeding success and natural and sexual selection in Soay rams. American Naturalist, 154, 730–746. [DOI] [PubMed] [Google Scholar]
  53. Coussi-Korbel S & Fragaszy DM (1995) On the relation between social dynamics and social learning. Animal Behaviour, 50, 1441–1453. [Google Scholar]
  54. Cowlishaw G & Dunbar RIM (1991) Dominance rank and mating success in male primates. Anim. Behav, 41, 1045–1056. [Google Scholar]
  55. Crick HQP (1992) Load-lightening in cooperatively breeding birds and the cost of reproduction. Ibis, 134, 56–61. [Google Scholar]
  56. Descamps S, Boutin S, McAdam AG, Berteaux D & Gaillard JM (2009) Survival costs of reproduction vary with age in North American red squirrels. Proceedings of the Royal Society B-Biological Sciences, 276, 1129–1135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Di Bitetti MS & Janson CH (2001) Social foraging and the finder’s share in capuchin monkeys, Cebus apella. Animal Behaviour, 62, 47–56. [Google Scholar]
  58. Dillon RJ, Vennard CT, Buckling A & Charnley AK (2005) Diversity of locust gut bacteria protects against pathogen invasion. Ecology Letters, 8, 1291–1298. [Google Scholar]
  59. Douhard M, Plard F, Gaillard JM, Capron G, Delorme D, Klein F, Duncan P, Loe LE & Bonenfant C (2014) Fitness consequences of environmental conditions at different life stages in a long-lived vertebrate. Proceedings of the Royal Society B-Biological Sciences, 281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Druelle F, Aerts P, D’Aout K, Moulin V & Berillon G (2017) Segmental morphometrics of the olive baboon (Papio anubis): A longitudinal study from birth to adulthood. Journal of Anatomy, 230, 805–819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Ellison PT (2003) Energetics and reproductive effort. American Journal of Human Biology, 15, 342–351. [DOI] [PubMed] [Google Scholar]
  62. Ellison PT (2017) Endocrinology, energetics, and human life history: A synthetic model. Hormones and Behavior, 91, 97–106. [DOI] [PubMed] [Google Scholar]
  63. Emery Thompson M (2013) Reproductive ecology of female chimpanzees. American Journal of Primatology, 75, 222–237. [DOI] [PubMed] [Google Scholar]
  64. Evans GW (2003) A multimethodological analysis of cumulative risk and allostatic load among rural children. Developmental Psychology, 39, 924–933. [DOI] [PubMed] [Google Scholar]
  65. Ezenwa VO, Ghai RR, McKay AF & Williams AE (2016) Group living and pathogen infection revisited. Current Opinion in Behavioral Sciences, 12, 66–72. [Google Scholar]
  66. Fairbanks LA (1990) Reciprocal benefits of allomothering for female vervet monkeys. Animal Behaviour, 40, 553–562. [Google Scholar]
  67. Felitti VJ, Anda RF, Nordenberg D, Williamson DF, Spitz AM, Edwards V, Koss MP & Marks JS (1998) Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults - the adverse childhood experiences (ACE) study. American Journal of Preventive Medicine, 14, 245–258. [DOI] [PubMed] [Google Scholar]
  68. Festa-Bianchet M, Douhard M, Gaillard JM & Pelletier F (2017) Successes and challenges of long-term field studies of marked ungulates. Journal of Mammalogy, 98, 612–620. [Google Scholar]
  69. Festa-Bianchet M, Jorgenson JT & Reale D (2000) Early development, adult mass, and reproductive success in bighorn sheep. Behavioral Ecology, 11, 633–639. [Google Scholar]
  70. Gaillard JM, Boutin JM, Delorme D, VanLaere G, Duncan P & Lebreton JD (1997) Early survival in roe deer: Causes and consequences of cohort variation in two contrasted populations. Oecologia, 112, 502–513. [DOI] [PubMed] [Google Scholar]
  71. Gaillard JM, Festa-Bianchet M, Delorme D & Jorgenson J (2000) Body mass and individual fitness in female ungulates: Bigger is not always better. Proceedings of the Royal Society B-Biological Sciences, 267, 471–477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Gesquiere LR, Altmann J & Alberts SC (2018) Interbirth intervals in wild baboons: Environmental predictors and hormonal correlates. American Journal of Physical Anthropology, 166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Grieneisen LE, Livermore J, Alberts S, Tung J & Archie EA (2017) Group living and male dispersal predict the core gut microbiome in wild baboons. Integrative and Comparative Biology, 57, 770–785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Groom RJ & Western D (2013) Impact of land subdivision and sedentarization on wildlife in Kenya’s southern rangelands. Rangeland Ecology & Management, 66, 1–9. [Google Scholar]
  75. Grove M (2012) Space, time, and group size: A model of constraints on primate social foraging. Animal Behaviour, 83, 411–419. [Google Scholar]
  76. Gunn RG (1977) Effects of 2 nutritional environments from 6 weeks pre partum to 12 months of age on lifetime performance and reproductive potential of Scottish blackface ewes in 2 adult environments. Animal Production, 25, 155–164. [Google Scholar]
  77. Hamel S, Gaillard JM, Festa-Bianchet M & Cote SD (2009) Individual quality, early-life conditions, and reproductive success in contrasted populations of large herbivores. Ecology, 90, 1981–1995. [DOI] [PubMed] [Google Scholar]
  78. Hamilton WJ, Buskirk RE & Buskirk WH (1976) Defense of space and resources by chacma (Papio ursinus) baboon troops in an african desert and swamp. Ecology, 57, 1264–1272. [Google Scholar]
  79. Hamilton WJI, Buskirk RE & Buskirk WH (1978) Omnivory and utilization of food resources by chacma baboons, Papio ursinus. American Naturalist, 112, 911–924. [Google Scholar]
  80. Hayward AD, Rickard IJ & Lummaa V (2013) Influence of early-life nutrition on mortality and reproductive success during a subsequent famine in a preindustrial population. Proceedings of the National Academy of Sciences of the United States of America, 110, 13886–13891. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Hector KL & Nakagawa S (2012) Quantitative analysis of compensatory and catch-up growth in diverse taxa. Journal of Animal Ecology, 81, 583–593. [DOI] [PubMed] [Google Scholar]
  82. Heldstab SA, van Schaik CP & Isler K (2017) Getting fat or getting help? How female mammals cope with energetic constraints on reproduction. Frontiers in Zoology, 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Henzi SP, Byrne RW & Whiten A (1992) Patterns of movement by baboons in the drakensberg mountains - primary responses to the environment. International Journal of Primatology, 13, 601–629. [Google Scholar]
  84. Herfindal I, van de Pol M, Nielsen JT, Saether BE & Moller AP (2015) Climatic conditions cause complex patterns of covariation between demographic traits in a long-lived raptor. Journal of Animal Ecology, 84, 702–711. [DOI] [PubMed] [Google Scholar]
  85. Higham JP, Warren Y, Adanu J, Umaru BN, MacLarnon AM, Sommer V & Ross C (2009) Living on the edge: Life-history of olive baboons at Gashaka-Gumti Narional Park, Nigeria. American Journal of Primatology, 71, 293–304. [DOI] [PubMed] [Google Scholar]
  86. Hoddinott J, Behrman JR, Maluccio JA, Melgar P, Quisumbing AR, Ramirez-Zea M, Stein AD, Yount KM & Martorell R (2013) Adult consequences of growth failure in early childhood. American Journal of Clinical Nutrition, 98, 1170–1178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Holand O, Weladji RB, Gjostein H, Kumpula J, Smith ME, Nieminen M & Roed KH (2004) Reproductive effort in relation to maternal social rank in reindeer (rangifer tarandus). Behavioral Ecology and Sociobiology, 57, 69–76. [Google Scholar]
  88. Holt-Lunstad J, Smith TB & Layton JB (2010) Social relationships and mortality risk: A meta-analytic review. PLoS Medicine, 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Huchard E, Charpentier MJ, Marshall H, King AJ, Knapp LA & Cowlishaw G (2013) Paternal effects on access to resources in a promiscuous primate society. Behavioral Ecology, 24, 229–236. [Google Scholar]
  90. Isbell LA, Cheney DL & Seyfarth RM (1990) Costs and benefits of home range shifts among vervet monkeys (cercopithecus-aethiops) in Amboseli National Park, Kenya. Behavioral Ecology and Sociobiology, 27, 351–358. [Google Scholar]
  91. Isbell LA, Cheney DL & Seyfarth RM (1991) Group fusions and minimum group sizes in vervet monkeys (cercopithecus-aethiops). American Journal of Primatology, 25, 57–65. [DOI] [PubMed] [Google Scholar]
  92. Janson CH & van Schaik CP (1993) Ecological risk aversion in juvenile primates: Slow and steady wins the race. Juvenile primates: Life history, development, and behavior. (eds Pereira ME & Fairbanks LA), pp. 57–74. University of Chicago Press, Chicago, IL. [Google Scholar]
  93. Janson CH & Vanschaik CP (1988) Recognizing the many faces of primate food competition - methods. Behaviour, 105, 165–186. [Google Scholar]
  94. Johnson SE (2003) Life history and the competitive environment: Trajectories of growth, maturation, and reproductive output among chacma baboons. American Journal of Physical Anthopology, 120, 83–98. [DOI] [PubMed] [Google Scholar]
  95. Johnston SE, Berenos C, Slate J & Pemberton JM (2016) Conserved genetic architecture underlying individual recombination rate variation in a wild population of soay sheep (ovis aries). Genetics, 203, 583-+. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Johnston SE, Gratten J, Berenos C, Pilkington JG, Clutton-Brock TH, Pemberton JM & Slate J (2013) Life history trade-offs at a single locus maintain sexually selected genetic variation. Nature, 502, 93-+. [DOI] [PubMed] [Google Scholar]
  97. Jolly CJ (1993) Species, subspecies, and baboon systematics. Species, species concepts, and primate evolution (eds Kimbel WH & Martin LB), pp. 67–107. Plenum Press, New York. [Google Scholar]
  98. Kamada N, Chen GY, Inohara N & Nunez G (2013) Control of pathogens and pathobionts by the gut microbiota. Nature Immunology, 14, 685–690. [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. King BJ (1994) The information continuum: Evolution of social information transfer in monkeys apes and hominids School for Advanced Research Press, Santa Fe, New Mexico. [Google Scholar]
  100. Kingsolver JG & Pfennig DW (2004) Individual-level selection as a cause of cope’s rule of phyletic size increase. Evolution, 58, 1608–1612. [DOI] [PubMed] [Google Scholar]
  101. Koenig A (2000) Competitive regimes in forest-dwelling hanuman langur females (semnopithecus entellus). Behavioral Ecology and Sociobiology, 48, 93–109. [Google Scholar]
  102. Kohda M (1985) Allomothering behavior of new and old world monkeys. Primates, 26:. [Google Scholar]
  103. Laland KN & Hoppitt W (2003) Do animals have culture? Evolutionary Anthropology, 12, 150–159. [Google Scholar]
  104. Le Galliard JF, Marquis O & Massot M (2010) Cohort variation, climate effects and population dynamics in a short-lived lizard. Journal of Animal Ecology, 79, 1296–1307. [DOI] [PubMed] [Google Scholar]
  105. Lea AJ, Altmann J, Alberts SC & Tung J (2015) Developmental constraints in a wild primate. American Naturalist, 185, 809–821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Lea AJ, Altmann J, Alberts SC & Tung J (2016) Resource base influences genome-wide DNA methylation levels in wild baboons (Papio cynocephalus). Molecular Ecology, 25, 1681–1696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Lea AJ, Learn NH, Theus MJ, Altmann J & Alberts SC (2014) Complex sources of variance in female dominance rank in a nepotistic society. Animal Behaviour, 94, 87–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Lodge E, Ross C, Ortmann S & MacLarnon AM (2013) Influence of diet and stress on reproductive hormones in nigerian olive baboons. General and Comparative Endocrinology, 191, 146–154. [DOI] [PubMed] [Google Scholar]
  109. Lomnicki A (1978) Individual-differences between animals and natural regulation of their numbers. Journal of Animal Ecology, 47, 461–475. [Google Scholar]
  110. Lozupone CA, Stombaugh JI, Gordon JI, Jansson JK & Knight R (2012) Diversity, stability and resilience of the human gut microbiota. Nature, 489, 220–230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Lumey LH, Stein AD & Susser E (2011) Prenatal famine and adult health Annual review of public health, vol 32 (eds Fielding JE, Brownson RC & Green LW), pp. 237–262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Lynch EC, Di Fiore A, Lynch RF & Palombit RA (2017) Fathers enhance social bonds among paternal half-siblings in immature olive baboons (Papio hamadryas anubis). Behavioral Ecology and Sociobiology, 71. [Google Scholar]
  113. Mangel M & Munch SB (2005) A life-history perspective on short- and long-term consequences of compensatory growth. American Naturalist, 166, E155–E176. [DOI] [PubMed] [Google Scholar]
  114. Marcil-Ferland D, Festa-Bianchet M, Martin AM & Pelletier F (2013) Despite catch-up, prolonged growth has detrimental fitness consequences in a long-lived vertebrate. The American Naturalist 182, 775–785. [DOI] [PubMed] [Google Scholar]
  115. Markham AC, Alberts SC & Altmann J (2012) Intergroup conflict: Ecological predictors of winning and consequences of defeat in a wild primate population. Animal Behaviour, 84, 399–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Markham AC & Gesquiere LR (2017) Costs and benefits of group living in primates: An energetic perspective. Philosophical Transactions of the Royal Society B-Biological Sciences, 372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Markham AC, Gesquiere LR, Alberts SC & Altmann J (2015) Optimal group size in a highly social mammal. Proceedings of the National Academy of Sciences of the United States of America, 112, 14882–14887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Markham AC, Guttal V, Alberts SC & Altmann J (2013) When good neighbors don’t need fences: Temporal landscape partitioning among baboon social groups. Behavioral Ecology and Sociobiology, 67, 875–884. [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Marmot M (2004) The status syndrome. Henry Holt and Company, New York. [Google Scholar]
  120. Marquis O, Massot M & Le Galliard JF (2008) Intergenerational effects of climate generate cohort variation in lizard reproductive performance. Ecology, 89, 2575–2583. [DOI] [PubMed] [Google Scholar]
  121. McFarland R, Murphy D, Lusseau D, Henzi SP, Parker JL, Pollet TV & Barrett L (2017) The ‘strength of weak ties’ among female baboons: Fitness-related benefits of social bonds. Animal Behaviour, 126, 101–106. [Google Scholar]
  122. McKenna JJ (1979) Evolution of allomothering behavior among colobine monkeys - function and opportunism in evolution. American Anthropologist, 81, 818–840. [Google Scholar]
  123. McLean EM, Altmann J, Archie EA & Alberts SC (in review) Phenotypic quality, tradeoffs, and lifetime fitness in wild female baboon. American Naturalist. [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Metcalfe NB & Monaghan P (2003) Growth versus lifespan: Perspectives from evolutionary ecology. Experimental Gerontology, 38, 935–940. [DOI] [PubMed] [Google Scholar]
  125. Miller EA, Livermore JA, Alberts SC, Tung J & Archie EA (2017) Ovarian cycling and reproductive state shape the vaginal microbiota in wild baboons. Microbiome, 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Millon A, Petty SJ, Little B & Lambin X (2011) Natal conditions alter age-specific reproduction but not survival or senescence in a long-lived bird of prey. Journal of Animal Ecology, 80, 968–975. [DOI] [PubMed] [Google Scholar]
  127. Minge C, Berghanel A, Schulke O & Ostner J (2016) Patterns and consequences of male-infant relationships in wild assamese macaques (macaca assamensis). International Journal of Primatology, 37, 350–370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Moeller AH, Foerster S, Wilson ML, Pusey AE, Hahn BH & Ochman H (2016) Social behavior shapes the chimpanzee pan-microbiome. Science Advances, 2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Moscovice LR, Di Fiore A, Crockford C, Kitchen DM, Wittig R, Seyfarth RM & Cheney DL (2010) Hedging their bets? Male and female chacma baboons form friendships based on likelihood of paternity. Animal Behaviour, 79, 1007–1015. [Google Scholar]
  130. Murray CM, Stanton MA, Lonsdorf EV, Wroblewski EE & Pusey AE (2016) Chimpanzee fathers bias their behaviour towards their offspring. Royal Society Open Science, 3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Nguyen N, Van Horn RC, Alberts SC & Altmann J (2009) “Friendships” between new mothers and adult males: Adaptive benefits and determinants in wild baboons (Papio cynocephalus). Behavioral Ecology and Sociobiology, 63, 1331–1344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Nie L, Zhou QJ, Qiao Y & Chen J (2017) Interplay between the gut microbiota and immune responses of ayu (plecoglossus altivelis) during vibrio anguillarum infection. Fish & Shellfish Immunology, 68, 479–487. [DOI] [PubMed] [Google Scholar]
  133. Norton GW, Rhine RJ, Wynn GW & Wynn RD (1987) Baboon diet: A five-year study of stability and variability in the plant feeding and habitat of the yellow baboons (Papio cynocephalus) of mikumi Narional Park, tanzania. Folia Primatol, 48, 78–120. [DOI] [PubMed] [Google Scholar]
  134. Nunez CL, Grote MN, Wechsler M, Allen-Blevins CR & Hinde K (2015) Offspring of primiparous mothers do not experience greater mortality or poorer growth: Revisiting the conventional wisdom with archival records of rhesus macaques. American Journal of Primatology, 77, 963–973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  135. Nunn CL (1999) The evolution of exaggerated sexual swellings in primates and the graded-signal hypothesis. Animal Behaviour, 58, 229–246. [DOI] [PubMed] [Google Scholar]
  136. Nussey DH, Kruuk LEB, Morris A & Clutton-Brock TH (2007) Environmental conditions in early life influence ageing rates in a wild population of red deer. Current Biology, 17, R1000–R1001. [DOI] [PubMed] [Google Scholar]
  137. Obrien TG & Robinson JG (1991) Allomaternal care by female wedge-capped capuchin monkeys - effects of age, rank and relatedness. Behaviour, 119, 30–50. [Google Scholar]
  138. Onyango PO, Gesquiere LR, Altmann J & Alberts SC (2013a) Puberty and dispersal in a wild primate population. Hormones and Behavior, 64, 240–249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Onyango PO, Gesquiere LR, Altmann J & Alberts SC (2013b) Testosterone positively associated with both male mating effort and paternal behavior in savanna baboons (Papio cynocephalus). Hormones and Behavior, 63, 430–436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Packer C, Collins DA, Sindimwo A & Goodall J (1995) Reproductive constraints on aggressive competition in female baboons. Nature, 373, 60–63. [DOI] [PubMed] [Google Scholar]
  141. Packer C, Lewis S & Pusey A (1992) A comparative-analysis of nonoffspring nursing. Animal Behaviour, 43, 265–281. [Google Scholar]
  142. Palombit RA, Seyfarth RM & Cheney DL (1997) The adaptive value of ‘friendships’ to female baboons: Experimental and observational evidence. Animal Behaviour, 54, 599–614. [DOI] [PubMed] [Google Scholar]
  143. Pereira ME (1983) Abortion following the immigration of an adult male baboon (Papio cynocephalus). American Journal of Primatology, 4, 93–98. [DOI] [PubMed] [Google Scholar]
  144. Perry S (1996) Female-female social relationships in wild white-faced capuchin monkeys, Cebus capucinus. American Journal of Primatology, 40, 167–182. [DOI] [PubMed] [Google Scholar]
  145. Pettorelli N, Gaillard JM, Van Laere G, Duncan P, Kjellander P, Liberg O, Delorme D & Maillard D (2002) Variations in adult body mass in roe deer: The effects of population density at birth and of habitat quality. Proceedings of the Royal Society B-Biological Sciences, 269, 747–753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  146. Pigeon G & Pelletier F (2018) Direct and indirect evidence of early-life environment on lifetime fitness of bighorn ewes. Proceedings of the Royal Society B-Biological Sciences, 285, 20171935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  147. Post DG (1982) Feeding behavior of yellow baboons (Papio cynocephalus) in the Amboseli Narional Park, Kenya. Int. J. Primatol, 3, 403–430. [Google Scholar]
  148. Post DG, Hausfater G & McCuskey SA (1980) Feeding behavior of yellow baboons (Papio cynocephalus): Relationship to age, gender and dominance rank. Folia Primatol, 34, 170–195. [DOI] [PubMed] [Google Scholar]
  149. Post E, Stenseth NC, Langvatn R & Fromentin JM (1997) Global climate change and phenotypic variation among red deer cohorts. Proceedings of the Royal Society B-Biological Sciences, 264, 1317–1324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Powers ST & Lehmann L (2017) When is bigger better? The effects of group size on the evolution of helping behaviours. Biological Reviews, 92, 902–920. [DOI] [PubMed] [Google Scholar]
  151. Pucciarelli HM, Mune MC, Oyhenart EE, Orden AB, Villanueva ME, Rodriguez RR & Pons ER (2000) Growth of skeletal components in the young squirrel monkey (saimiri sciureus boliviensis): A longitudinal experiment. American Journal of Physical Anthropology, 112, 57–68. [DOI] [PubMed] [Google Scholar]
  152. Pusey AE (1987) Sex-biased dispersal and inbreeding avoidance in birds and mammals. Trends. Ecol. Evol, 2, 295–299. [DOI] [PubMed] [Google Scholar]
  153. Pusey AE (2012) Magnitude and sources of variance in female reproductive performance The evolution of primate societies (eds MItani JC, Call J, Kappeler PM, Palombit R & Silk JB), pp. 343–366. University of Chicago Press, Chicago. [Google Scholar]
  154. Quiatt D (1979) Aunts and mothers - adaptive implications of allomaternal behavior of nonhuman-primates. American Anthropologist, 81, 310–319. [Google Scholar]
  155. Rands CM, Darling A, Fujita M, Kong L, Webster MT, Clabaut C, Emes RD, Heger A, Meader S, Hawkins MB, Eisen MB, Teiling C, Affourtit J, Boese B, Grant PR, Grant BR, Eisen JA, Abzhanov A & Ponting CP (2013) Insights into the evolution of darwin’s finches from comparative analysis of the geospiza magnirostris genome sequence. Bmc Genomics, 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  156. Reid JM, Bignal EM, Bignal S, McCracken DI & Monaghan P (2003) Environmental variability, life-history covariation and cohort effects in the red-billed chough pyrrhocorax pyrrhocorax. Journal of Animal Ecology, 72, 36–46. [Google Scholar]
  157. Rosenbaum S, Silk JB & Stoinski TS (2011) Male-immature relationships in multi-male groups of mountain gorillas (gorilla beringei beringei). American Journal of Primatology, 73, 356–365. [DOI] [PubMed] [Google Scholar]
  158. Roulin A (2002) Short- and long-term fitness correlates of rearing conditions in barn owls tyto alba. Ardea, 90, 259–267. [Google Scholar]
  159. Rushmore J, Bisanzio D & Gillespie TR (2017) Making new connections: Insights from primate-parasite networks. Trends in Parasitology, 33, 547–560. [DOI] [PubMed] [Google Scholar]
  160. Samuels A & Altmann J (1986) Immigration of a Papio anubis male into a group of cynocephalus baboons and evidence for an anubis-cynocephalus hybrid zone in Amboseli, Kenya. Int. J. Primatol, 7, 131–138. [Google Scholar]
  161. Samuels A & Altmann J (1991) Baboons of the Amboseli basin: Demographic stability and change. Int. J. Primatol, 12, 1–19. [Google Scholar]
  162. Samuels A, Silk JB & Altmann J (1987) Continuity and change in dominance relations among female baboons. Anim. Behav, 35, 785–793. [Google Scholar]
  163. Scarry CJ (2013) Between-group contest competition among tufted capuchin monkeys, sapajus nigritus, and the role of male resource defence. Animal Behaviour, 85, 931–939. [Google Scholar]
  164. Schilling EA, Aseltine RH & Gore S (2008) The impact of cumulative childhood adversity on young adult mental health: Measures, models, and interpretations. Social Science & Medicine, 66, 1140–1151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  165. Schino G (2001) Grooming, competition and social rank among female primates: A meta-analysis. Animal Behaviour, 62, 265–271. [Google Scholar]
  166. Schino G (2007) Grooming and agonistic support: A meta-analysis of primate reciprocal altruism. Behavioral Ecology, 18, 115–120. [Google Scholar]
  167. Schino G & Aureli F (2008) Grooming reciprocation among female primates: A meta-analysis. Biology Letters, 4, 9–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  168. Seeman T, Epel E, Gruenewald T, Karlamangla A & McEwen BS (2010) Socio-economic differentials in peripheral biology: Cumulative allostatic load Biology of disadvantage: Socioeconomic status and health (eds Adler NE & Stewart J), pp. 223–239. [DOI] [PubMed] [Google Scholar]
  169. Setchell JM & Wickings EJ (2004) Social and seasonal influences on the reproductive cycle in female mandrills (mandrillus sphinx). American Journal of Physical Anthropology, 125, 73–84. [DOI] [PubMed] [Google Scholar]
  170. Seyfarth RM (1976) Social relationships among adult female baboons. Animal Behaviour, 24, 917–938. [DOI] [PubMed] [Google Scholar]
  171. Seyfarth RM (1977) A model of social grooming among adult female monkeys. J. Theor. Biol, 65, 671–698. [DOI] [PubMed] [Google Scholar]
  172. Seyfarth RM (1978) Social relationships among adult male and female baboons .2. Behavior throughout female reproductive-cycle. Behaviour, 64, 227–247. [Google Scholar]
  173. Seyfarth RM, Silk JB & Cheney DL (2014) Social bonds in female baboons: The interaction between personality, kinship and rank. Animal Behaviour, 87, 23–29. [Google Scholar]
  174. Shopland JM (1982) An inter-group encounter with fatal consequences in yellow baboons (Papio cynocephalus). American Journal of Primatology, 3, 263–266. [DOI] [PubMed] [Google Scholar]
  175. Shopland JM (1987) Food quality, spatial deployment, and the intensity of feeding interference in yellow baboons (Papio cynocephalus). Behav. Ecol. Sociobiol, 21, 149–156. [Google Scholar]
  176. Shopland JM & Altmann J (1987) Fatal intragroup kidnapping in yellow baboons. American Journal of Primatology, 13, 61–65. [DOI] [PubMed] [Google Scholar]
  177. Silk JB, Alberts SC & Altmann J (2003) Social bonds of female baboons enhance infant survival. Science, 302, 1231–1234. [DOI] [PubMed] [Google Scholar]
  178. Silk JB, Alberts SC & Altmann J (2006) Social relationships among adult female baboons (Papio cynocephalus) ii. Variation in the quality and stability of social bonds. Behavioral Ecology and Sociobiology, 61, 197–204. [Google Scholar]
  179. Silk JB, Altmann J & Alberts SC (2006) Social relationships among adult female baboons (Papio cynocephalus) i. Variation in the strength of social bonds. Behavioral Ecology and Sociobiology, 61, 183–195. [Google Scholar]
  180. Silk JB, Beehner JC, Bergman TJ, Crockford C, Engh AL, Moscovice LR, Wittig RM, Seyfarth RM & Cheney DL (2009) The benefits of social capital: Close social bonds among female baboons enhance offspring survival. Proc. R. Soc. Lond. B Biol. Sci, 276, 3099–3104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  181. Silk JB, Beehner JC, Bergman TJ, Crockford C, Engh AL, Moscovice LR, Wittig RM, Seyfarth RM & Cheney DL (2010a) Female chacma baboons form strong, equitable, and enduring social bonds. Behavioral Ecology and Sociobiology, 64, 1733–1747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  182. Silk JB, Beehner JC, Bergman TJ, Crockford C, Engh AL, Moscovice LR, Wittig RM, Seyfarth RM & Cheney DL (2010b) Strong and consistent social bonds enhance the longevity of female baboons. Current Biology, 20, 1359–1361. [DOI] [PubMed] [Google Scholar]
  183. Silk JB, Roberts ER, Barrett BJ, Patterson SK & Strum SC (2017) Female-male relationships influence the form of female-female relationships in olive baboons, Papio anubis. Animal Behaviour, 131, 89–98. [Google Scholar]
  184. Silk JB, Rodman PS & Samuels A (1979) Kidnapping and spite in female infant relations of bonnet macaques. American Journal of Physical Anthropology, 50, 481–482. [Google Scholar]
  185. Smuts B & Nicolson N (1989) Reproduction in wild female olive baboons. American Journal of Primatology, 19, 229–246. [DOI] [PubMed] [Google Scholar]
  186. Smuts BB (1985) Sex and friendship in baboons. Aldine, Hawthorn, NY. [Google Scholar]
  187. Solberg E, Garel M, Heim M, Grotan V & Saether BE (2008) Lack of compensatory body growth in a high performance moose alces alces population. Oecologia, 158, 485–498. [DOI] [PubMed] [Google Scholar]
  188. Stanford CB (1992) Costs and benefits of allomothering in wild capped langurs (presbytis-pileata). Behavioral Ecology and Sociobiology, 30, 29–34. [Google Scholar]
  189. Stearns SC (1992) The evolution of life histories Oxford University Press, New York. [Google Scholar]
  190. Stoessell RK & Hay RL (1978) Geochemical origin of sepiolite and kerolite at Amboseli, Kenya. Contributions to Mineralogy and Petrology, 65, 255–267. [Google Scholar]
  191. Struhsaker TT (1967) Ecology of vervet monkeys (cercopithecus aethiops) in the Masai-Amboseli Game Reserve, Kenya. Ecology, 48, 891–904. [Google Scholar]
  192. Struhsaker TT (1973) Recensus of vervet monkeys in Masai-Amboseli Game Geserve, Kenya. Ecology, 54, 930–932. [Google Scholar]
  193. Struhsaker TT (1976) A further decline in numbers of Amboseli vervet monkeys. Biotropica, 8, 211–214. [Google Scholar]
  194. Thornton A & Raihani NJ (2008) The evolution of teaching. Animal Behaviour, 75, 1823–1836. [Google Scholar]
  195. Tiddi B, Aureli F & Schino G (2012) Grooming up the hierarchy: The exchange of grooming and rank-related benefits in a new world primate. PLoS One, 7, e36641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  196. Toigo C, Gaillard JM & Michallet J (1999) Cohort affects growth of males but not females in alpine ibex (Capra ibex ibex). Journal of Mammalogy, 80, 1021–1027. [Google Scholar]
  197. Trueman CNG, Behrensmeyer AK, Tuross N & Weiner S (2004) Mineralogical and compositional changes in bones exposed on soil surfaces in Amboseli National Park, Kenya: Diagenetic mechanisms and the role of sediment pore fluids. Journal of Archaeological Science, 31, 721–739. [Google Scholar]
  198. Tung J, Alberts SC & Wray GA (2010) Evolutionary genetics in wild primates: Combining genetic approaches with field studies of natural populations. Trends in Genetics, 26, 353–362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  199. Tung J, Archie EA, Altmann J & Alberts SC (2016) Cumulative early life adversity predicts longevity in wild baboons. Nature Communications, 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  200. Tung J, Barreiro LB, Burns MB, Grenier JC, Lynch J, Grieneisen LE, Altmann J, Alberts SC, Blekhman R & Archie EA (2015a) Social networks predict gut microbiome composition in wild baboons. Elife, 4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  201. Tung J, Charpentier MJE, Garfield DA, Altmann J & Alberts SC (2008) Genetic evidence reveals temporal change in hybridization patterns in a wild baboon population. Molecular Ecology, 17, 1998–2011. [DOI] [PubMed] [Google Scholar]
  202. Tung J, Charpentier MJE, Mukherjee S, Altmann J & Alberts SC (2012) Genetic effects on mating success and partner choice in a social mammal. American Naturalist, 180, 113–129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  203. Tung J, Zhou X, Alberts SC, Stephens M & Gilad Y (2015b) The genetic architecture of gene expression levels in wild baboons. Elife, 4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  204. Valeggia C & Ellison PT (2009) Interactions between metabolic and reproductive functions in the resumption of postpartum fecundity. American Journal of Human Biology, 21, 559–566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  205. Van Belle S, Garber PA, Estrada A & Di Fiore A (2014) Social and genetic factors mediating male participation in collective group defence in black howler monkeys. Animal Behaviour, 98, 7–17. [Google Scholar]
  206. Van de Pol M, Bruinzeel LW, Heg D, Van der Jeugd HP & Verhulst S (2006) A silver spoon for a golden future: Long-term effects of natal origin on fitness prospects of oystercatchers (haematopus ostralegus). Journal of Animal Ecology, 75, 616–626. [DOI] [PubMed] [Google Scholar]
  207. van Schaik CP (1983) Why are diurnal primates living in groups? Behaviour, 87, 120–143. [Google Scholar]
  208. Vervaecke H, Roden C & De Vries H (2005) Dominance, fatness and fitness in female american bison, Bison bison. Animal Behaviour, 70, 763–770. [Google Scholar]
  209. Visser ME & Verboven N (1999) Long-term fitness effects of fledging date in Great Tits. Oikos, 85, 445–450. [Google Scholar]
  210. Wall JD, Schlebusch SA, Alberts SC, Cox LA, Snyder-Mackler N, Nevonen KA, Carbone L & Tung J (2016) Genomewide ancestry and divergence patterns from low-coverage sequencing data reveal a complex history of admixture in wild baboons. Molecular Ecology, 25, 3469–3483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  211. Wango TL, Musiega D, Mundia CN, Altmann J, Alberts SC & Tung J (2018) Climate and land cover analysis suggest no strong ecological barriers to gene flow in a natural baboon hybrid zone. International Journal of Primatology, DOI 10.1007/s10764-017-9989-2. [DOI] [Google Scholar]
  212. Wasser SK, Norton GW, Kleindorfer S & Rhine RJ (2004) Population trend alters the effects of maternal dominance rank on lifetime reproductive success in yellow baboons (Papio cynocephalus). Behavioral Ecology and Sociobiology, 56, 338–345. [Google Scholar]
  213. Wasser SK, Norton GW, Rhine RJ, Klein N & Kleindorfer S (1998) Ageing and social rank effects on the reproductive system of free-ranging yellow baboons (Papio cynocephalus) at mikumi Narional Park, tanzania. Human Reproduction Update, 4, 430–438. [DOI] [PubMed] [Google Scholar]
  214. Weingrill T (2000) Infanticide and the value of male-female relationships in mountain chacma baboons. Behaviour, 137, 337–359. [Google Scholar]
  215. Western D, Groom R & Worden J (2009) The impact of subdivision and sedentarization of pastoral lands on wildlife in an african savanna ecosystem. Biological Conservation, 142, 2538–2546. [Google Scholar]
  216. Western D & Vanpraet C (1973) Cyclical changes in habitat and climate of an east african ecosystem. Nature, 241, 104–106. [Google Scholar]
  217. Whiten A, Byrne RW, Barton RA, Waterman PG & Henzi SP (1991) Dietary and foraging strategies of baboons. Philosophical Transactions of the Royal Society of London Series B, 334, 187–197. [DOI] [PubMed] [Google Scholar]
  218. Widdig A (2007) Paternal kin discrimination: The evidence and likely mechanisms. Biological Reviews, 82, 319–334. [DOI] [PubMed] [Google Scholar]
  219. Widdig A, Langos D & Kulik L (2016) Sex differences in kin bias at maturation: Male rhesus macaques prefer paternal kin prior to natal dispersal. American Journal of Primatology, 78, 78–91. [DOI] [PubMed] [Google Scholar]
  220. Widdig A, Nurnberg P, Krawczak M, Streich WJ & Bercovitch FB (2001) Paternal relatedness and age proximity regulate social relationships among adult female rhesus macaques. Proceedings of the National Academy of Sciences of the United States of America, 98, 13769–13773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  221. Wilkin TA & Sheldon BC (2009) Sex differences in the persistence of natal environmental effects on life histories. Current Biology, 19, 1998–2002. [DOI] [PubMed] [Google Scholar]
  222. Wilson AJ, Morrissey MB, Adams MJ, Walling CA, Guinness FE, Pemberton JM, Clutton-Brock TH & Kruuk LEB (2011) Indirect genetics effects and evolutionary constraint: An analysis of social dominance in red deer, Cervus elaphus. Journal of Evolutionary Biology, 24, 772–783. [DOI] [PubMed] [Google Scholar]
  223. Wilson AJ, Pemberton JM, Pilkington JG, Clutton-Brock TH, Coltman DW & Kruuk LEB (2007) Quantitative genetics of growth and cryptic evolution of body size in an island population. Evolutionary Ecology, 21, 337–356. [Google Scholar]
  224. Winder IC (2014) The biogeography of the Papio baboons: A GIS-based analysis of range characteristics and variability. Folia Primatologica, 85, 292–318. [DOI] [PubMed] [Google Scholar]
  225. Wittemyer G, Elsen P, Bean WT, Burton ACO & Brashares JS (2008) Accelerated human population growth at protected area edges. Science, 321, 123–126. [DOI] [PubMed] [Google Scholar]
  226. Wrangham RW (1980) An ecological model of female-bonded primate groups. Behaviour, 75, 262–300. [Google Scholar]
  227. Yee JR, Cavigelli SA, Delgado B & McClintock MK (2008) Reciprocal affiliation among adolescent rats during a mild group stressor predicts mammary tumors and lifespan. Psychosomatic Medicine, 70, 1050–1059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  228. Zipple MN, Grady JH, Gordon JB, Chow LD, Archie EA, Altmann J & Alberts SC (2017) Conditional fetal and infant killing by male baboons. Proceedings of the Royal Society B-Biological Sciences, 284. [DOI] [PMC free article] [PubMed] [Google Scholar]

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