Fertility and Population growth
Lecture Context & Aims
Lecturer: Deborah Judge, Biological Anthropologist, School of Human Sciences.
Today’s focus:
• Evolutionary perspective on fertility and its role in human life-history.
• How fertility interacts with population dynamics.
• Preview: next lecture will cover menopause (a rare mammalian trait).Pedagogical note: Lecturer invites feedback because recorded format lacks real-time visual cues.
Why Fertility Matters in Evolution & Population
Three population components: 1) fertility, 2) mortality, 3) migration (latter ignored for global view).
Fertility is under natural selection; our modern reproductive physiology was shaped under Pleistocene foraging conditions:
• Scarcer foods, higher mobility, unpredictable resources.Humans are phenotypically plastic: traits can adjust within a lifetime in response to environment.
• Plastic traits: age at menarche, age at first reproduction, inter-birth interval (IBI).
Anatomy of the Female Fertile Lifespan
Onset: menarche (first menstruation) → often followed by a short sub-fertile period.
Culturally/physiologically delayed age at first reproduction.
Age at last birth usually precedes menopause.
Human “stopping behaviour”: parity-specific stopping – couples cease child-bearing after reaching preferred family size.
Fertility Components & Their Population Effects
Survival to reproductive age – prerequisite for any fertility.
Adult survival – determines number of reproductive events.
Timing variables:
• Age at onset.
• Birth spacing (IBI).
• Infant/child survival rates.
Comparative Life-History: Humans vs Other Apes
Graph (log–log): female body mass vs age at sexual maturity.
• Humans have similar body size to chimps/orangutans but much later maturity.Later maturity signals a slow life-history (long juvenile phase, lower annual fertility, slower population growth).
Plasticity in Maturation
Resources accelerate maturation; scarcity delays it.
• Example: Kikuyu girls
– Rural Kenya: avg. menarche.
– London diaspora: .Historical trend: ~ earlier menarche per decade across years.
Contemporary population means range .
Inter-Birth Interval (IBI) Mechanics
IBI = pregnancy duration + lactational amenorrhoea + waiting cycles.
Pregnancy duration: species-constant.
Lactational amenorrhoea: highly variable; shortened by provisioning, plentiful food, lower nursing frequency.
• Provisioned vs non-provisioned primates: -month difference.Birth spacing benefits:
• Higher infant & maternal survival.
• Prevents maternal energetic depletion.Spacing maintained through: energy balance, physiology, lactational contraception, postpartum sexual taboos, modern contraceptives.
Fetal or infant loss resets clock early → shorter IBIs (no full lactation phase).
Parental Investment: Gestation + Lactation
Graph: female body mass vs (gestation + lactation length).
• Humans align with ape trend: gestation + lactation in traditional societies.Post-agriculture ((~10!–!12\,000) years ago): lactation falls to – makes humans short-spaced breeders relative to apes.
Field Data on Traditional Populations
Population | Ecological mode | Avg. IBI (months) | Total Fertility Rate (TFR) |
|---|---|---|---|
!Kung San (desert) | Foraging | ||
Ache (forest, mobile) | Foraging | (baseline) | |
Ache (settled) | Semi-sedentary | (≈) | |
Yanomamö (horticulture) | Semi-sedentary |
Explanation:
Settlement & food production shorten IBI and raise TFR.
Environmental richness and workload differences explain outliers (e.g., high Ache fertility even in forest).
Survival Curves: The Hiwi Example
Age-specific survivorship: by age , dead; by , dead.
High childhood mortality ⇒ prehistoric human populations grew slowly unless territories expanded.
Agricultural Revolution Effects
With farming (~ BP):
• Higher fertility (shorter IBIs, earlier menarche).
• Higher mortality, mainly infants.
• Fertility increase exceeded mortality increase ⇒ net growth.Ache case-study: settled groups show earlier reproduction & higher age-specific fertility but infant mortality spike in first 2 yrs.
Population-Age Structures (Pyramids)
Madagascar (agrarian): broad base, steep taper → high fertility & high child mortality.
England 1967 (post-transition): narrow base, rectangular middle → low fertility & low mortality.
Age structure depends jointly on fertility & mortality patterns.
Basic Population Mathematics
Absolute change: .
Rates (per capita):
• Birth rate .
• Death rate .
• Net rate .Projection: (e.g., ⇒ annual growth).
Carrying Capacity (K) & Resource Limits
K = population size the environment can sustainably support.
Species- & habitat- specific: desert might support human/ vs rainforest humans/.
Case Study: Irish Potato Famine
Pre-potato (~): population ≈.
Post-potato adoption (~): rises to .
1840s blight:
• deaths.
• Mass emigration to N. America & Australia.
• Marriage postponed (mean age at first birth rose ).Post-famine population falls back to .
Case Study: Australia Birth-Rate History
Long-term downward trend (fewer births per capita).
Notable fluctuations:
• s Depression (sharp drop).
• Early s uptick.
• s Depression (drop).
• Post-WWII baby boom (spike).
• s contraception era (decline).Population still rose due to momentum: many adults applying even a lower per-capita rate.
Demographic Transitions Summarised
First transition (foraging → farming):
• Earlier maturity, shorter IBIs, population growth.Second (~European 1700–1800s):
• Mortality decline first, fertility decline follows (parity-specific stopping, longer IBIs).
• Requires confidence in child survival.Third (recent developing nations):
• Death rate drops rapidly (public health), birth rate lags ⇒ prolonged high growth.
• Eventually fertility also falls.
Key Take-Home Concepts
Human fertility is environmentally responsive, yet evolutionarily shaped for energy-limited foraging contexts.
Birth spacing (IBI) is central to individual fecundity; lactational biology and cultural practices modulate it.
Population growth depends on the balance between fertility and mortality; resource shocks can reverse or accelerate trends.
Demographic transition unfolds differently across historical eras and regions, but ultimately links health improvements to voluntary fertility control.
Looking Ahead
Next lecture: Human Menopause – evolutionary rarity and implications.
Feedback/questions: email the lecturer (address provided during lecture).