Topic 8: Human Populations

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21 Terms

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consequences of exponential growth
* increased demand for food/water/land
* demand for food → raising livestock → deforestation
* loss of habitat endangers species
* loss of forest degrades air/water quality
* congested areas promote spread of disease
* more pollutants released
* more waste generated
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crude birth rate (CBR)
number of live births per 1,000 people in a population per year

CBR = births / population \* 1,000
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crude death rate (CDR)
number of live deaths per 1,000 people in a population per year

CDR = deaths / population \* 1,000
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natural increase rate (NIR)
rate of population growth, not accounting for immigration of emigration; percentage

NIR = (CBR - CDR) / 10
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doubling time (DT)
time (years) for a population to double

DT = 70 / NIR
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replacement level fertility
the number of children a couple must have to replace them (2.1)
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total fertility rate (TFR)
estimate of the average number of children a woman will have per year, if she passes through her childbearing years conforming to the age-specific fertility rates of a given year
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TFR > replacement level
population growth
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TFR < replacement level
zero/negative growth
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contributing factors to total fertility rate (TFR)
* urbanization
* increasing opportunities for women
* reduce infant mortality rate
* delay women’s age when she first gives birth
* pensions for retirees
* availability of abortions & birth control
* avoiding dogmatic religion & tradition statutes
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factors that reduce death rates:
* urbanization (more resources/medicine)
* better healthcare
* increased access to food
* sanitation and potable water
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first stage of the demographic transition model (DTM)
* ex: a few remote groups
* CBR: high
* CDR: high
* increase: stable/slow
* reasons for changing birth rate:
* children work
* high infant mortality rate
* religion/societal pressures
* no family planning resources
* reasons for changing death rate:
* disease/famine
* little to no medical care
* ex: a few remote groups
* CBR: high
* CDR: high
* increase: stable/slow
* reasons for changing birth rate:
  * children work
  * high infant mortality rate
  * religion/societal pressures
  * no family planning resources
* reasons for changing death rate:
  * disease/famine
  * little to no medical care
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second stage of the demographic transition model (DTM)
* ex: Egypt, Kenya, India
* CBR: high
* CDR: falling rapidly
* increase: rapid
* reasons for changing birth rate:
* children work
* high infant mortality rate
* religion/societal pressures
* no family planning resources


* reasons for changing death rate:
* medical care
* good water/sanitation
* more children live
* ex: Egypt, Kenya, India
* CBR: high
* CDR: falling rapidly
* increase: rapid
* reasons for changing birth rate:
  * children work
  * high infant mortality rate
  * religion/societal pressures
  * no family planning resources


* reasons for changing death rate:
  * medical care
  * good water/sanitation
  * more children live
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third stage of the demographic transition model (DTM)
* ex: Brazil
* CBR: falling
* CDR: falls slowly
* increase: slower
* reasons for changing birth rate:
* more medicine/food
* reasons for changing death rate:
* medical care
* good water/sanitation
* more children live
* ex: Brazil
* CBR: falling
* CDR: falls slowly
* increase: slower
* reasons for changing birth rate:
  * more medicine/food
* reasons for changing death rate:
  * medical care
  * good water/sanitation
  * more children live
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fourth stage of the demographic transition model (DTM)
* ex: US, Japan, UK
* CBR: low
* CDR: low
* increase: stable/slow
* reasons for changing birth rate:
* urbanization
* healthcare
* family planning
* reasons for changing death rate:
* healthcare
* reliable food source
* ex: US, Japan, UK
* CBR: low
* CDR: low
* increase: stable/slow
* reasons for changing birth rate:
  * urbanization
  * healthcare
  * family planning
* reasons for changing death rate:
  * healthcare
  * reliable food source
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age-gender pyramids
shows the proportion of the population, by sex, at each for different age levels
shows the proportion of the population, by sex, at each for different age levels
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How do predictions made about population growth by age structure diagrams influence economic decisions?
* pensions
* social security
* job competition
* more people = more consumers = greater need for jobs
* large population provides a taxable base for supporting retirees
* more people = greater environmental footprint
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factors contributing to population growth
* universal access to family planning
* better healthcare for pregnant women/children
* equality- more opportunities for women
* increased access to education
* increased involvement in child-rearing for men
* eradicate poverty
* sustainable use of natural resources
* cultural attitudes about family size
* government policies
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abiotic factors
* light
* temperature
* nutrient level
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biotic growth factors
* high reproductive rates
* generalized niche
* adequate food supply
* suitable to habitat
* ability to compete for resources
* ability to hide/defend from predators
* ability to migrate/live in other habitats
* ability to adapt to environmental change
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biotic decrease factors
* low reproductive rate
* specialized niche
* inadequate food supply
* unsuitable/destroyed habitat
* too many competitors
* can’t run/hide from predators
* can’t resist disease/parasites
* can’t migrate
* can’t adapt to environmental change