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SEX DIFFERENCES AND ADAPTATION

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In meadow voles males home range females; no difference in pine voles ... Meadow vole males show: (1) greater range size, and (2) greater maze performance, ... – PowerPoint PPT presentation

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Title: SEX DIFFERENCES AND ADAPTATION


1
SEX DIFFERENCES AND ADAPTATION
  • Empirical demonstration of sex differences has
    been a major strategy for showing adaptation in
    human evolutionary psychology
  • When sexes have faced different adaptive
    problems/selection pressures in ancestral
    environments, expect different brain mechanisms
    to have evolved
  • Given that men and women inherit genes from both
    parents, how can sex differences evolve?
  • Y chromosome contains Sry gene that acts as
    testis-determining factor
  • Fetal testes produce androgens like testosterone
  • Testosterone turns on some genes rather than
    others and this differential gene activation
    contributes to sex differences in development

2
Selection Pressures Related to Sex Differences
  • 2 basic types of selection pressures that may
    cause the evolution of sex differences
  • Division of labor History of males and females
    doing different things to survive
  • Sexual selection Males and females having
    different strategies for reproduction/competition
    for mates

3
SEXUAL SELECTION
4
SEXUAL SELECTION
  • Darwin argued that sexual selection, depends on
    the advantage which certain individuals have over
    other individuals of the same sex and species in
    exclusive relation to reproduction
  • Trait is sexually selected if it confers an
    advantage over same-sex rivals but is not
    necessary for survival or for reproduction in the
    absence of rivals
  • Sexual selection is a subset of natural selection
    (artificial category) and operates according to
    same mechanism (differential gene replication)

5
PARENTAL INVESTMENT THEORY
  • Trivers (1972) predicted that the sex with the
    greater typical parental investment in offspring
    becomes a limiting resource for the reproductive
    success of the opposite sex
  • PI defined as any cost associated with raising
    offspring that reduces parents ability to
    produce or invest in other offspring
  • Females of most species make larger typical
    parental investment than do males
  • Batemans data with fruit flies

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PARENTAL INVESTMENT THEORY
  • Trivers (1972) predicted that the sex with the
    greater typical parental investment in offspring
    becomes a limiting resource for the reproductive
    success of the opposite sex
  • PI defined as any cost associated with raising
    offspring that reduces parents ability to
    produce or invest in other offspring
  • Females of most species make larger typical
    parental investment than do males
  • Batemans data with fruit flies
  • The lower investing sex should typically exhibit
    greater eagerness to mate, greater competition
    for mating opportunities (often larger size), and
    more elaborate courtship displays/traits

8
EAGERNESS FOR SEX/SEXUAL VARIETY
  • Coolidge Effect
  • Clark and Hatfield study

9
Percent of subjects who agreed when approached by
an opposite-sex stranger
Go on a date tonight
Go to bed with me tonight
Women
Men
10
EAGERNESS FOR SEX/SEXUAL VARIETY
  • Coolidge Effect
  • Clark and Hatfield study
  • Sex differences in sexual fantasy/pornography
  • Cross-cultural research on desire for number of
    partners, etc.

11
Do Men Desire Sexual Variety More Than Women
Do? __________________________________________
Ideally, how many different sexual partners
would you like to have in the next month?
Source Schmitt et al. (2003, Journal of
Personality and Social Psychology)
12
PHYSICAL ATTRACTIVENESS
  • Do humans possess specialized mechanisms that are
    designed to find particular physical cues
    attractive?
  • An adaptationist approach predicts that any such
    cues should have signaled health, fertility, or
    other beneficial traits (e.g., resource
    acquisition abilities, parenting abilities) in
    ancestral environments
  • Can compare this position against null hypothesis
    that attractive traits are arbitrary (beauty in
    eye of beholder)

13
Female Attractiveness
  • Clearly strong selection pressure on ancestral
    men to choose fertile vs. infertile females as
    mating partners
  • Age (post-pubertal and pre-menopausal) and cues
    to age
  • Cues of poor health, insufficient energy should
    be unattractive
  • Even among the class of fertile women, though,
    are there cues that mark some as more chronically
    fertile/healthy than others?
  • Shorter birth spacing
  • Higher rates of offspring survival?

14
Fertile window
Estrogen
Progesterone
Age Energy balance Lactation Stress
ovulation
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16
Estrogen as Fertility Index
  • Are there physical cues that predict individual
    differences between women in estrogen
    concentrations?
  • Facial cues (Law-Smith et al. 2006)
  • 18-24 year old women
  • Face photographs, urine samples for estrogen
    assay
  • Late follicular estrogen correlated with ratings
    of face attractiveness, femininity, and health
  • Effects only for women not wearing make-up
  • Body shape
  • Waist to hip ratio
  • Breast size

17
WHR as possible cue to Age Sex Pregnant
status Health Fertility Fatty acids (brain
growth) Estrogen?
Singh (1993)
18
Estrogen and Body Shape
Polish women, 24-37 years old. Daily saliva
samples for one cycle. Breast size and WHR split
into top and bottom quartiles. Jasienska et al.
(2004)
19
Male Attractiveness
20
Male Attractiveness
  • Testosterone appears to act as a signal that
    allocates energy to mating effort (including
    growth of secondary sex traits) vs. survival
    functions (e.g., immune responses)
  • T injections can increase 2nday sex traits but
    decrease immune function
  • T declines during non-breeding season when 2ndary
    sex traits atrophy
  • T declines during food shortages, illness
  • Physical cues associated with higher testosterone
    may therefore signal that males in good enough
    condition to afford higher testosterone (could
    indicate better immune system for local
    environment genes passed on to females
    offspring)

21
Testosterone Fitness Indicator in Humans?
  • In humans, some evidence that higher testosterone
    associated with more masculine facial features
    (will test this in lab activity)
  • However, most masculine faces not typically
    perceived as most attractive

22
Mixed Strategy Model
  • Masculinized faces rated lower on qualities like
    good father or quality as parent (Johnston et
    al. 2001 Perrett et al. 1998)
  • When choosing most attractive face, women
    generally select faces that have slightly
    feminized relative to the average male face
    (Perrett et al. 1998)
  • However, when women are tested near ovulation,
    they shift their preference toward the masculine
    end of the continuum (Johnston et al. 2001
    Penton-Voak et al. 1999)
  • Mixed strategy choose feminine, high investing
    men as long-term partners cheat with masculine,
    high testosterone men when fertile to get good
    genes

23
Selection for Extra-Pair Copulations
  • This feature of womens preferences cycle
    shifts in preferences for the scent of
    symmetrical men can be explained as a special
    design feature evolved to enable ancestral women
    to obtain genetic benefits from extra-pair mates
    while avoiding costs of seeking such benefits
    during periods of infertility. It is difficult to
    understand the nature of these preferences
    otherwise. Gangestad (2000 pp. 57-58)

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25
Cycle Phase Shifts
  • Stronger preferences for more masculine faces
    near estimated fertile window
  • Penton-Voak et al. (1999) Follicular vs. luteal
  • Penton-Voak Perrett (2000) Days 6-14 vs. all
    others
  • Johnston et al. (2001) 23-14 days before next
    menses vs. others
  • Stronger preferences for scent of symmetrical men
    near fertile window
  • Gangestad Thornhill (1998) Days 6-14 vs. all
    others continuous estimates
  • Thornhill Gangestad (1999) Same as above
  • Stronger preferences for behavioral displays of
    symmetrical men
  • Gangestad et al. (2004) Continuous fertility
    estimates interact w/ preferences

26
Issues in Perception of Mens Faces
  • Do men with faces that are perceived as more
    masculine actually have higher testosterone
    concentrations?
  • Can observers tell how much men like children
    simply from photos of their faces?
  • Does high masculinity and/or testosterone predict
    low interest in children?

27
SEX DIFFERENCES AND SPATIAL COGNITION
  • Gaulin Polygynous species (males mate with
    multiple females) males need to range widely to
    search for females or control territories with
    multiple females not so in monogamous species
  • Should be selection on polygynous males (but not
    females) to have better spatial ability in order
    to travel w/o disorientation

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29
SEX DIFFERENCES AND SPATIAL COGNITION
  • Meadow voles are polygynous and Pine voles are
    monogamous
  • In meadow voles males home range gtgt females no
    difference in pine voles
  • Meadow voles males maze performance gtgt females
    no difference in pine voles
  • Meadow voles males have larger hippocampus than
    females no difference in pine voles
  • Natural selection for larger brain structure
    related to spatial navigation in male vs. female
    meadow voles

30
  • Possible alternative explanations for (1) male
    better maze performance, (2) male larger
    hippocampus?
  • Meadow vole males show (1) greater range size,
    and (2) greater maze performance, only during
    breeding season

31
  • Possible alternative explanations for (1) male
    better maze performance, (2) male larger
    hippocampus?
  • Meadow vole males show (1) greater range size,
    and (2) greater maze performance, only during
    breeding season
  • Gaulin compared lab-reared pine voles with
    wild-caught pine voles on maze performance
  • Lab-reared lived in small cages with very little
    spatial navigation experience
  • No differences in performance between wild-caught
    and lab-reared
  • Argument for experience not driving sex
    differences
  • Analogous argument for humans? if sexes differed
    in spatial tasks used in finding food, etc.
    during human evolution, would selection build
    different navigational mechanisms in males vs.
    females?

32



33
SPATIAL COGNITION IN HUMANS
  • Large and reliable sex difference on Mental
    Rotation Test (MRT), favoring men
  • Men tend to use cardinal directions (north,
    south) and distances when giving directions,
    while women tend to use landmarks and left/right
  • Often argued that this may be related to sex
    differences in ancestral environments
  • In hunter-gatherer societies, men do nearly all
    of the hunting, inter-group violence/warfare that
    would require long trips
  • Women tend to perform most of the foraging, plant
    food gathering
  • Argued that ability to reverse routes or find way
    back from a different route may require ability
    to rotate all or parts of the route stored in
    memory
  • Route learning and MRT
  • When learning routes on a tabletop map, men on
    average make fewer errors and require fewer
    trials to reach zero errors
  • Some research suggests significant correlations
    between MRT and route-learning performance (e.g.,
    r .60 between MRT and navigation through a
    computer-simulated maze)

34
  • What are possible alternative explanations for
    mens advantage (on average) in mental rotation
    and route learning?
  • Alternatives to the idea that natural selection
    for navigational ability has designed sex
    differences in brain mechanisms related to
    spatial cognition?
  • Men and women have same spatial navigation
    mechanisms men and women experience different
    spatial environments during development (e.g.,
    boys play more sports, etc.), experience accounts
    for sex differences in mental rotation, route
    learning, etc.
  • There are practice effects on tests such as MRT
    however, men and women seem to benefit equally
    from practice

35
HORMONAL EFFECTS ON SPATIAL COGNITION
  • Organizational effects in rodents
  • Female rodents navigate a radial arm maze by
    using landmark cues in room Performance is
    impaired if objects are moved
  • Male rodents use geometric cues Moving objects
    has no effect, but a circular curtain that blocks
    angles of walls, etc. impairs performance
  • If males are castrated at birth, they switch to
    use of landmark cues if females are injected
    with androgens after birth, they switch to use of
    geometric cues
  • Spatial experience is controlled

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37
  • Organizational Effects of Hormones in Humans
  • Idiopathic hypogonadotropic hypogonadism Men
    lifelong deficiency in androgen production (often
    diagnosed at puberty) Tend to have worse
    spatial ability than normal men
  • Congenital Adrenal Hyperplasia (CAH)
    Overproduction of testosterone-like androgen,
    androstenedione by the adrenal gland prenatally
    (usually diagnosed at birth)
  • CAH girls show superior spatial ability to normal
    girls (including MRT)
  • CAH boys usually no better spatial ability than
    normal boys

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40
SPATIAL REASONING FAVORING WOMEN
  • Silverman and Eals reasoned that if male spatial
    advantages were due to an evolutionary history of
    men hunting, etc. perhaps there should be female
    spatial advantages related to a history of
    foraging
  • Plant foods are embedded in complex arrays of
    vegetation and other objects, so ability to
    remember objects and their location within an
    array may have been selected more strongly in
    women
  • Tests of both object memory and location memory
    show large advantages for women

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42
Basic Research Techniques
  • Observational Research (naturalistic, systematic)
  • Categorizing, quantifying behavior
  • Correlational Research
  • Measure two or more variables and test their
    association with each other
  • E.g., self-report measures of happiness and
    archival measures of length of life
  • Do happier people live longer?

43
r .62, p lt .05
Happy
Age _at_death
Direction of causality Lurking variables or 3rd
variables
44
0 3 6 9 12 15
Number of Drownings
r .76
45
Partial Correlation
Differences between data points and regression
line are residuals
46
Partial Correlation
Partial correlation between ice cream and
drowning, controlling for temperature, is r
-.01.
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