Week 9 Human Evolution and Population Ecology

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45 Terms

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Oldest fossils of modern humans

Found in Ethiopia (Africa) about 160,000–195,000 years ago; evidence for Out-of-Africa hypothesis

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Out-of-Africa hypothesis

Modern humans originated in Africa and later migrated to other continents

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Mitochondrial DNA (mtDNA)

DNA inside mitochondria, inherited only from mothers; used to trace ancestry and migration

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Zygote mitochondria source

All mitochondria in a zygote come from the egg (mother), none from the sperm

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Mitochondrial Eve

Woman in Africa

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mtDNA mutation rate

Mutates at a steady rate, allowing scientists to estimate divergence times and build ancestry trees

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Genetic similarity among humans

All people are 99.9 % genetically identical; biological races do not exist

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Natural selection for skin color

Different UV levels favored alleles for darker or lighter skin to balance vitamin D and folate needs

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Melanin

Pigment that darkens skin and absorbs UV light; protects folate but reduces vitamin D production

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Skin tone and UV adaptation

Light skin evolved in low-UV areas to make vitamin D; dark skin evolved in high-UV areas to protect folate

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Skin tone and relatedness

People with similar skin color are not necessarily closely related; skin color reflects environment, not ancestry

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Folate

Vitamin B needed for cell division and fetal development; destroyed by UV light unless protected by melanin

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Vitamin D

Produced in skin when exposed to UV; important for bones and immunity; low levels cause rickets and weak bones

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High UV environments

Dark skin offers advantage by preventing folate breakdown and UV damage

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Low UV environments

Light skin offers advantage by allowing more vitamin D production

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Blood type and skin tone

No connection; blood type distribution does not follow skin-color patterns

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Bipedalism

Walking upright on two legs; evolved before large brain size in hominins

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Hominins

Modern humans and extinct human-like ancestors (20 Known species)

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Ardipithecus ramidus

Lived 4.4 MYA; small brain; walked upright but also climbed trees

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Australopithecus

Lived ~2.6 MYA; upright walker; used simple stone tools

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Homo erectus

800 000 years ago; controlled fire; long-distance traveler

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Homo sapiens

Appeared 200 000–300 000 years ago; large brain; advanced communication and culture

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Diet milestone

Shift from plant to meat and cooked foods gave more energy for brain growth

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Tool milestone

Earliest tools 2.6 MYA; hand axes and spears show planning and teaching

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Communication milestone

By ~500 000 years ago speech structures developed; Homo sapiens used symbols and art

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Ecology

Study of how organisms interact with each other and their environment

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Biotic factors

Living elements of ecosystems (plants, animals, microbes)

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Abiotic factors

Non-living environmental conditions (light, water, soil, temperature)

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Biotic–abiotic interaction

Living things depend on and modify their physical environment

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Levels of organization

Organism → Population → Community → Ecosystem → Biosphere

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Isle Royale

Island in Lake Superior used for long-term wolf-and-moose ecology study (over 60 years)

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How wolves and moose arrived

Moose swam to island; wolves crossed on an ice bridge

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Population size estimation

Wolves counted by aerial surveys; moose counted by ground and bone records

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Population distribution patterns

Clumped (groups), Uniform (territorial), Random (no pattern)

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Population growth rate

Determined by births, deaths, immigration, and emigration

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Exponential growth

Rapid increase without limits under ideal conditions

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Logistic growth

Growth slows as population approaches carrying capacity (K)

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Carrying capacity (K)

Maximum population size an environment can sustain long-term

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Boom-and-bust cycle

Population overshoots carrying capacity, then crashes and recovers

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Predator–prey relationship

Wolves control moose numbers; moose affect tree growth on Isle Royale

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Abiotic factors impact

Climate and weather events alter population sizes

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Biotic factors impact

Competition, disease, and predation affect population sizes

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Density-dependent factors

Effects increase with population size (e.g., disease, food scarcity)

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Density-independent factors

Affect populations regardless of density (e.g., storms, fires)

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Human intervention in ecology

Science can inform management decisions but cannot decide ethical actions