Unit 3 Populations

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47 Terms

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Numbers

number of individuals in a population

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Sex Ratio

ratio of males to females in a population

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Distribution

how individuals are distributed with respect to one another

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Age Structure

how many individuals fit into a particular age category

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Density

number of individuals per unit area at a given tiem

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Random Distribution

knowt flashcard image
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Uniform Distribution

organisms that are territorial competing for resources (biotic & abiotic)

<p>organisms that are territorial competing for resources (biotic &amp; abiotic) </p>
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Clumped Distribution

herd animals with more resources in an area (biotic & abiotic)

<p>herd animals with more resources in an area (biotic &amp; abiotic) </p>
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Population Size

total number of individuals within a defined area at a given time

Inputs that increase population are immigrants & births

Outputs that decrease population size are emigration & deaths

New-Old/Old = annual growth rate

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Biotic Potential

under ideal conditions/unlimited resources populations grow at max potential

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Intrinsic Growth Rate - r

maximum potential for growth

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Environmental/Limiting Factors

slows growth rate (less food, more predators, disease)

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Density Dependent Limiting Factors

greater impact as density increases, biotic, determines the carrying capacity (k) of population (ex. disease, predation, competition)

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Density Independent Limiting Factors

not relevant to density, abiotic, does not determine the k (ex. weather, natural disasters, fires, etc.)

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Logistic Growth

when a population whose growth is initially exponential, but slows as the population reaches the carrying capacity

<p>when a population whose growth is initially exponential, but slows as the population reaches the carrying capacity </p>
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Carrying Capacity

amount of organisms an ecosystem can hold; point where population growth levels off/stops in density dependent growth

Change as limiting factors change + what limiting factor is can change = change in carrying capacity

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Exponential Growth

(j-curve) growth of population with no limiting factors

<p>(j-curve) growth of population with no limiting factors </p>
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Overshooting K

when population does not respond to carrying capacity & grows out of control

Resource depletion, environmental damage, disease, famine, conflict (above carrying capacity)

<p>when population does not respond to carrying capacity &amp; grows out of control </p><p>Resource depletion, environmental damage, disease, famine, conflict (above carrying capacity)  </p>
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Dieback

a rapid decrease in numbers experienced by a population of organism that has temporarily exceeded or overshot its carrying capacity

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Niche Specialist Species

Species that require specific habitats, have a limited diet, narrow range of tolerance but have advantage in a constant habitat

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Niche Generalist Species

species that live in a variety of habitats, feed on a variety of food, have a broad ecological tolerance, and advantage in environmental change

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K Species

usually mammals that live a long time, have a long time till reproductive maturity, have few offspring with parental care, large offspring

Population growth is slow, limited by density dependent factors, stable near carrying capacity

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R species

have short life spans, quick to mature with many reproductive events, a lot of offspring with no parental care, offspring is small in size

Population growth rate is fast (highly variable), limited by density independent factors, no carrying capacity = exponential growth

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Survivorship Curves

describes how the likelihood of surviving changes over a life span

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Type 1 Survivorship Curve

most organisms that are born & survive to mid life because survivorship declines after reproduction (old age) ex. most mammals - k species

<p>most organisms that are born &amp; survive to mid life because survivorship declines after reproduction (old age) ex. most mammals - k species </p>
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Type 2 Survivorship Curve

no matter what age chance of surviving = chance of dying (ex. birds, smaller mammals, squirrels)

<p>no matter what age chance of surviving = chance of dying (ex. birds, smaller mammals, squirrels) </p>
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Type 3 Survivorship Curve

high mortality rate at young age - very few make it to old age but have better survival once older (ex. plants, insects, fish)

<p>high mortality rate at young age - very few make it to old age but have better survival once older (ex. plants, insects, fish) </p>
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Demography

the study of human populations and population trends

Changes in population size, fertility, life expectancy, age structure, migration

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Immigration

movement into a country

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Emigration

movement out of a country

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Net Migration Rate

difference between immigration and emigration in a given year per 1,000 people in a country changes in population size

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Crude Birth Rate

(CBR) the number of births per 1,000 individuals per year

Births/Population x 1,000 = CBR %

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Crude Death Rate

(CDR) the number of deaths per 1,000 individuals per year

Death/Population x 1,000 = CDR %

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Global Population Growth Rate

(CBR-CDR)/10 = %

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National Population Growth Rate

(CBR+immigration) - (CDR+emigration)/population

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Doubling Time

70/growth rate = years

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Total Fertility Rate

(TFR) average estimate of number of children each women in a population will bear

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Replacement Fertility Rate

(RLF) total fertility rate required to offset the average number of deaths in a population and to ensure current population size stays stable

Developed Countries (high levels of industrialization/income) RLF: 2.1

Developing Countries (low industrialization/income less $3 person) RLF: >2.1

Higher RLF if lower chance of making it reproductive age

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Lower Fertility Rate is correlated with

Education opportunities for women

Gender Equality

Employment opportunities for women

Equality = lower fertility because women have s say

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Life Expectancy

average number of years that an infant born in a particular year in a country is expect to live, given current average lifespan and death rate of that country

Low life expectancy corresponds with HIGH infant mortality rate

Indicates quality of life

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Infant Mortality Rate

the number of deaths of children under 1 year of age per 1,000 live births

Indicates quality of life

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Child Mortality Rate

the number of deaths of children under age 5 per 1,000 live births

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