APES unit 3 (populations)

0.0(0)
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/61

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

62 Terms

1
New cards

specialist

smaller range of tolerance, or narrower ecological niche makes them more prone to extinction (specific food requirements, less ability to adapt to new conditions)

2
New cards

generalist

larger range of tolerance, broader niche makes them less prone to extinction and more likely to be invasive (broad food requirements, high adaptablility)

3
New cards

k-selected (quality)

few offspring, heavy parental care to protect them; generally have fewer reproductive events than r-strategist; long lifespan, long time to sexual maturity=low biotic potential=slow pop. growth rate; more likely to be disrupted by environmental changes (ex: most mammals, birds)

4
New cards

r-selected (quantity)

many offspring, little to no care; may reproduce only once, but generally reproduce many times throughout lifespan; shorter lifespan, quick to sexual maturity=high biotic potential=high pop. growth rate; more likely to be invasive; better suited for rapidly changing environmental conditions

5
New cards

biotic potential

the maximum rate at which a population could increase under ideal conditions

6
New cards

survivorship curve

line that shows the survival rate of a cohort in a pop. from birth to death

7
New cards

cohort

group of same-age individuals

8
New cards

faster drop in survivorship curve line

quicker die-off of individuals

9
New cards

slower drop in survivorship curve line

longer average lifespan

10
New cards

type I (mosty K-selected)

high survivorship early in life due to high parental care; high survivorship in midlife due to large size and defensive behavior; rapid decrease in survivorship in late life as old age sets in (ex: most mammals)

11
New cards

type II (in between R and K)

steadily decreasing survivorship throughout life

12
New cards

type III (mostly r-selected)

high mortality early in life due to little to no parental care; few make it to midlife; slow, steady decline in survivorship in mid life; even fewer make it to adulthood - slow decline in survivorship in old age (ex:insects, fish, plants)

13
New cards

carrying capacity (k)

the max number of individuals in a pop. that an ecosystem can support (based on limiting resources like food, water and habitat)

14
New cards

overshoot

when a pop. briefly exceeds carrying capacity

15
New cards

die-off

sharp decrease in pop. size when resource depletion (overshoot) leads to many individuals dying

16
New cards

size (n)

total number of individuals in a given area at a given time (larger=safer from pop. decline)

17
New cards

density

number of individuals/area (higher density=higher competition, possibility for disease outbreak, possibility of depletion food source)

18
New cards

distribution

how individuals in a pop. are spaced out compared to each other (random, uniform or clumped)

19
New cards

sex ratio

ratio of males to females, closer to 50:50, the more ideal for breeding (usually); die-off or bottleneck effect can lead to skewed sex ratio, limiting pop. growth

20
New cards

density-dependent factors

factors that influence pop. growth based on size

21
New cards

examples of density dependent factors

food, competition for habitat, water, light, disease, predation, ect.

22
New cards

density-independent factors

factors that influence pop. growth independent of their size

23
New cards

examples of density-independent factors

natural disasters (flood, hurricane, tornado, fire), migration habits, seasonal temp. changes, ect.

24
New cards

exponential growth

biotic potential, growth without limits

25
New cards

logistic growth

initial rapid growth, then limiting factors limit pop. to k

26
New cards

calculating pop. change

pop. size = initial pop. + (immigrations + births) - (emigrations + deaths)

27
New cards

age cohorts

groups of similarly aged individuals

28
New cards

prereproductive

0-14 year olds

29
New cards

reproductive age

15-44 year olds

30
New cards

post reproductive

45+ year olds

31
New cards

larger prereproductive cohort

current and future growth

32
New cards

roughly equal prereproductive and reproductive cohorts

slight growth/stable

33
New cards

larger reproductive age

pop. decline

34
New cards

extreme pyramid shape

rapid growth

35
New cards

less extreme pyramid

slow, stable growth

36
New cards

house

stable, little to no growth

37
New cards

narrowest at base

declining pop.

38
New cards

total fertility rate (TFR)

average number of children a woman in a pop. will bear throughout her lifetime (higher TFR=higher birth rate=higher pop. growth rate)

39
New cards

replacement level fertility

the TFR required to offset deaths in a pop. and keep pop. size stable (about 2.1 in developed countries to replace the mom and dad)

40
New cards

infant mortality rate (IMR)

number of deaths of children under 1 year per 1,000 people in a pop. (higher in less developed countries due to lack of access to healthcare, clean water, enough food, ect.)

41
New cards

higher IMR=

higher TFR, due to families having replacement children

42
New cards

factors in IMR decline

access to clean water, access to healthcare (hospitals, vaccines, vitamins, supplements, ect.), more reliable food supply, ect.

43
New cards

development (affluence)

more developed, or wealthy nations have a lower TFR than less developed nations

44
New cards

examples of development (affluence)

more educational access for women, more economical opportunity for women, higher access to family planning education and contraceptives, later age of first pregnancy, less need for children to work

45
New cards

government policy

can play a huge role in fertility by coercive (forceful) or noncoercive (encouraging) policies

46
New cards

examples of government policies

forced or voluntary sterilization, china's 1 (now 2) child policy, tax incentives to have fewer children, microcredits or loans to women without children to start businesses

47
New cards

Malthusian theory

earth has a human carrying capacity, probably based on food production; human pop. growth is happening faster than growth of food production

48
New cards

technological advancement

humans can alter earth's carrying capacity with technology innovation

49
New cards

growth rate (r)

% increase in a pop. (usually per year)

50
New cards

crude birth rate (CBR)

births per 1,000 people in a pop.

51
New cards

crude death rate (CDR)

deaths per 1,000 people in a pop.

52
New cards

calculating growth rate (r)

(CBR-CDR)/10

53
New cards

doubling time (rule of 70)

the time it takes (in years) for a pop. to double is equal to 70/r (growth rate)

54
New cards

factors that increase pop. growth rate

higher TFR=higher birth rate; high infant mortality rate can drive up TFR (replacement children); high immigration level; increased access to clean water and healthcare (decreased death rate)

55
New cards

factors that decrease pop. growth rate

high death rate; high infant mortality rate; increased development (education and affluence); increased education for women; delayed age of first child; postponement of marriage age

56
New cards

standard of living

what quality of life is like for people of a country

57
New cards

life expectancy

key health indicator of standard of living

58
New cards

gross domestic product (GDP)

key economic indicator of standard of living

59
New cards

industrialization

the process of economic and social transition from an agrarian (farming) economy to an industrial one (manufacturing basesd)

60
New cards

pre-industrialized/less developed

a country that has not yet made the agrarian to industrial transition, typically very poor/ low GDP

61
New cards

industrializing/ developing

part way through the transition from agrarian to industrial transition, decreasing death rate and IMR, rising GDP

62
New cards

industrialized/developed

completed the transition from agrarian to industrial, very low death rate and IMR, very high GDP, low TFR