Environmental complexity,life history,and encephalisation in human evolution

Brain size has increased threefold during the course of human evolution, whilst body weight has approximately doubled. These increases in brain and body size suggest that reproductive (and, therefore, evolutionary) rates must have slowed considerably during this period. During the same period, however, environmental heterogeneity has increased substantially. A central tenet of life-history theory states that in heterogeneous environments, organisms with fast life histories will be favoured. The human lineage, therefore, has proceeded in direct contradiction of this theory. This contribution attempts to resolve this contradiction by recourse to Godfrey-Smith’s Environmental Complexity Thesis, which states that the function of cognition is to enable the organism to deal with environmental complexity. It is suggested that among slowly reproducing organisms the behavioural flexibility provided by advanced cognitive abilities is a fundamental component of adaptation to heterogeneous environments. In the human lineage this flexibility is manifest particularly in the increasing complexity of material culture.     

Brain growth, life history, and cognition in primate and human evolution

This study investigates brain size ontogeny in a sample of seven anthropoid primate species (including humans) in order to evaluate longstanding ideas about the relations between brain size, brain ontogeny, life history, and cognition. First, this analysis tests the hypothesis that primate brain growth patterns vary across species. Second, the relations between the duration of the brain growth period and the duration of the pre-adult period are evaluated. Brain growth data, derived from a number of sources, are analyzed through parametric and nonparametric regressions. The results indicate that primates are characterized by significant variation in patterns of brain growth. In addition, the degree to which brain growth is allocated to either the pre- or the postnatal period varies substantially. Analyses of phylogenetically adjusted data show no correlation between the lengths of the brain growth period and the juvenile period, but there are correlations with other life-history variables. These results are explained in terms of maternal metabolic adaptations. Specifically, primates appear to present at least two major metabolic adaptations. In the first, brain growth occurs mainly during the prenatal period, reflecting heavy maternal investment. In the second, brain growth occupies large portions of the postnatal period. These differing patterns have important implications for maturation age, necessitating late maternal maturation in the first case and enabling relatively early maternal maturation in the second. Overall, these adaptations represent components of distinctive life-history adaptations, with potentially important implications for the evolution of primate cognition.     

Ecological volatility and human evolution: A novel perspective on life history and reproductive strategy

Humans are characterized by a suite of traits that seem to differentiate them profoundly from closely related apes such as the gorilla, chimpanzee, and orang‐utan. These traits include longevity, cooperative breeding, stacking of offspring, lengthy maturation, and a complex life‐course profile of adiposity. When, how, and why these traits emerged during our evolutionary history is currently attracting considerable attention. Most approaches to life history emphasize dietary energy availability and the risk of mortality as the two key stresses shaping life‐history variability between and within species. The high energy costs of the large Homo brain are also seen as the central axis around which other life‐history traits were reorganized. I propose that ecological volatility may have been a key stress, selecting in favor of the suite of traits in order to tolerate periods of energy scarcity, and increase reproductive output during periods of good conditions. Theses life‐history adaptations may have preceded and enabled the trend toward encephalization. © 2012 Wiley Periodicals, Inc.     

Endocrinology,energetics, and human life history: A synthetic model

Human life histories are shaped by the allocation of metabolic energy to competing physiological domains. A model framework of the pathways of energy allocation is described and hormonal regulators of allocation along the pathways of the framework are discussed in the light of evidence from field studies of the endocrinology of human energetics. The framework is then used to generate simple models of two important life history transitions in humans, puberty and the postpartum return to full fecundity in females. The results of the models correspond very closely to observations made in the field.     

On the evolution,life history,and proximate mechanisms of human male reproductive senescence

Reproductive senescence is a central and defining life‐history characteristic of every known mammal. Within the scope of human senescence research, attention has been mainly focused on females, particularly in reference to the uniqueness of menopause. However, consideration of the evolution of human male reproductive senescence has been minimal, primarily due to the assumption that male fertility, as compared to that of females, is relatively invariant with age. Moreover, theoretical development of our understanding of human male reproductive senescence has not been extensive despite increasing awareness of the importance of life‐history trade‐offs in association with aging. Emerging research now illustrates important aspects of male reproductive senescence, exhibit significant variation and phenotypic plasticity, while others are less malleable. Changes in hormone‐modulated somatic integrity with age also show important population differences, most likely as the result of reaction norms in response to environmental variation. Coupled with emerging ideas about the energetics of life‐history trade‐offs in human males, a new perspective is beginning to emerge. It suggests that human males exhibit potentially adaptive shifts in reproductive function in association with age.     

The evolution of predictive adaptive responses in human life history

Many studies in humans have shown that adverse experience in early life is associated with accelerated reproductive timing, and there is comparative evidence for similar effects in other animals. There are two different classes of adaptive explanation for associations between early-life adversity and accelerated reproduction, both based on the idea of predictive adaptive responses (PARs). According to external PAR hypotheses, early-life adversity provides a ‘weather forecast’ of the environmental conditions into which the individual will mature, and it is adaptive for the individual to develop an appropriate phenotype for this anticipated environment. In internal PAR hypotheses, early-life adversity has a lasting negative impact on the individual''s somatic state, such that her health is likely to fail more rapidly as she gets older, and there is an advantage to adjusting her reproductive schedule accordingly. We use a model of fluctuating environments to derive evolveability conditions for acceleration of reproductive timing in response to early-life adversity in a long-lived organism. For acceleration to evolve via the external PAR process, early-life cues must have a high degree of validity and the level of annual autocorrelation in the individual''s environment must be almost perfect. For acceleration to evolve via the internal PAR process requires that early-life experience must determine a significant fraction of the variance in survival prospects in adulthood. The two processes are not mutually exclusive, and mechanisms for calibrating reproductive timing on the basis of early experience could evolve through a combination of the predictive value of early-life adversity for the later environment and its negative impact on somatic state.     

Fecundity, offspring longevity, and assortative mating: parametric tradeoffs in sexual and life history strategy

Genetic diversification of offspring represents a bet-hedging strategy that evolved as an adaptation to unpredictable environments. The benefits of sexual reproduction come with severe costs. For example, each offspring only carries half of each parent's genetic makeup through direct descent. The lower the reproductive rate, the more substantial the cost when considering the proportion of genes represented in subsequent generations. Positive assortative mating represents a conservative bet-hedging strategy that offsets some of these costs and preserves coadapted genomes in stable and predictable environments, whereas negative assortative mating serves the inverse function of genetic diversification in unstable and unpredictable environments.     

Phenotypic plasticity and selection in Drosophila life history evolution. 2. Diet,mates and the cost of reproduction

While it is commonplace for biologists to use the response to environmental manipulation as a guide to evolutionary responses to selection, the relationship between phenotypic plasticity and genetic change is not generally well-established. The life-histories of laboratory Drosophila populations are among the few experimental systems which simultaneously afford information on phenotypic plasticity and evolutionary trajectories. We employed a combination of two replicated selectively differentiated stocks (postponed aging stocks and their controls; 10 populations in total) and two different environmental manipulations (nutrition and mating) to explore the empirical relationship between phenotypic plasticity and evolutionary trajectories. While there are a number of parallels between the results obtained using these two approaches, there are important differences. In particular, as the detail of the biological characterization of either type of response increases, so their disparities multiply. Nonetheless, the combination of environmental manipulation with evolutionary divergence provides valuable information about the biological connections between life-history, caloric reserves, and reproductive physiology in Drososphila.     

Grandmothers,hunters and human life history

This paper critiques the competing “Grandmother Hypothesis” and “Embodied Capital Theory” as evolutionary explanations of the peculiarities of human life history traits. Instead, I argue that the correct explanation for human life history probably involves elements of both hypotheses: long male developmental periods and lives probably evolved due to group selection for male hunting via increased female fertility, and female long lives due to the differential contribution women’s complex foraging skills made to their children and grandchildren’s nutritional status within groups provisioned by male hunting.     

The co-evolution of intergenerational transfers and longevity: an optimal life history approach

How would resources be allocated among fertility, survival, and growth in an optimal life history? The budget constraint assumed by past treatments limits the energy used by each individual at each instant to what it produces at that instant. We consider under what conditions energy transfers from adults, which relax the rigid constraint by permitting energetic dependency and faster growth for the offspring, would be advantageous. In a sense, such transfers permit borrowing and lending across the life history. Higher survival and greater efficiency in energy production at older ages than younger both favor the evolution of transfers. We show that if such transfers are advantageous, then increased survival up to the age of making the transfers must co-evolve with the transfers themselves.     

Artificial evolution of life history and behavior

We present an individual-based model that uses artificial evolution to predict fit behavior and life-history traits on the basis of environmental data and organism physiology. Our main purpose is to investigate whether artificial evolution is a suitable tool for studying life history and behavior of real biological organisms. The evolutionary adaptation is founded on a genetic algorithm that searches for improved solutions to the traits under scrutiny. From the genetic algorithm's "genetic code," behavior is determined using an artificial neural network. The marine planktivorous fish Müller's pearlside (Maurolicus muelleri) is used as the model organism because of the broad knowledge of its behavior and life history, by which the model's performance is evaluated. The model adapts three traits: habitat choice, energy allocation, and spawning strategy. We present one simulation with, and one without, stochastic juvenile survival. Spawning pattern, longevity, and energy allocation are the life-history traits most affected by stochastic juvenile survival. Predicted behavior is in good agreement with field observations and with previous modeling results, validating the usefulness of the presented model in particular and artificial evolution in ecological modeling in general. The advantages, possibilities, and limitations of this modeling approach are further discussed.     

Genetic similarity theory,intelligence, and human mate choice

When we tested predictions from genetic similarity theory, we found that spouses assort on the basis of the more genetically influenced of cognitive tests. From our analysis of data from several studies employing 15 subtests from the Hawaii Family Study of Cognition and 11 subtests from the Wechsler Adult Intelligence Scale, we calculated positive correlations between assortive mating coefficients and estimates of genetic influence both between and within samples. Thus, estimates of genetic influence calculated on Koreans and Canadians predicted assortive mating in European Americans in Hawaii and California. These observations were weaker when the g loadings of the tests, on which the spouses assorted most, were partialled out. They confirm the robust nature of the phenomenon and suggest the epigenetic rules may incline people to detect and prefer genetically similar others as marriage partners.     

Grandmothers and the evolution of human longevity: A review of findings and future directions

Women and female great apes both continue giving birth into their forties, but not beyond. However humans live much longer than other apes do. 1 Even in hunting and gathering societies, where the mortality rate is high, adult life spans average twice those of chimpanzees, which become decrepit during their fertile years and rarely survive them. 2 , 3 Since women usually remain healthy through and beyond childbearing age, human communities include substantial proportions of economically productive postmenopausal women. 4 - 7 A grandmother hypothesis^8–12 may explain why greater longevity evolved in our lineage while female fertility still ends at ancestral ages. This hypothesis has implications for the evolution of a wide array of human features. Here we review some history of the hypothesis, recent findings, and questions for ongoing research.     

Adult hippocampal neurogenesis of mammals: evolution and life history

Substantial production of new neurons in the adult mammalian brain is restricted to the olfactory system and the hippocampal formation. Its physiological and behavioural role is still debated. By comparing adult hippocampal neurogenesis (AHN) across many mammalian species, one might recognize a common function. AHN is most prominent in rodents, but shows considerable variability across species, being lowest or missing in primates and bats. The latter finding argues against a critical role of AHN in spatial learning and memory. The common functional denominator across all species investigated thus far is a strong decline of AHN from infancy to midlife. As predicted by Altman and colleagues in 1973, this implies a role in transforming juvenile unpredictable to predictable behaviour, typically characterizing mammalian behaviour once reproductive competence has been attained. However, as only a fraction of mammalian species has been investigated, further comparative studies are necessary in order to recognize whether AHN has a common unique function, or whether it mediates species-specific hippocampal functions.