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Copyright © 2009 Pearson Education, Inc. PowerPoint Lectures for Biology: Concepts & Connections, Sixth Edition Campbell, Reece, Taylor, Simon, and Dickey Chapter 36 Chapter 36 Population Ecology Lecture by Brian R. Shmaefsky
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Page 1: Chapter 36

Copyright © 2009 Pearson Education, Inc.

PowerPoint Lectures forBiology: Concepts & Connections, Sixth EditionCampbell, Reece, Taylor, Simon, and Dickey

Chapter 36Chapter 36 Population Ecology

Lecture by Brian R. Shmaefsky

Page 2: Chapter 36

Copyright © 2009 Pearson Education, Inc.

Introduction: A Tale of Two Fishes

Population ecology is concerned with

– Changes in population size

– Factors that regulate populations over time

It helps explain the biodiversity of an environment

Page 3: Chapter 36

Copyright © 2009 Pearson Education, Inc.

Ecologists learn the structure and dynamics of natural populations

With this information they are better equipped to

– Develop sustainable food sources

– Assess the impact of human activities

– Balance human needs with the conservation of biodiversity and resources

Introduction: A Tale of Two Fishes

Page 4: Chapter 36

Copyright © 2009 Pearson Education, Inc.

36.1 Population ecology is the study of how and why populations change

Population

– A group of individuals of a single species that occupy the same general area

Individuals in a population

– Rely on the same resources

– Are influenced by the same environmental factors

– Are likely to interact and breed with one another

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Copyright © 2009 Pearson Education, Inc.

A population can be described by the number and distribution of individuals

Population dynamics is the interactions between

– Biotic and abiotic factors

It is the cause of variation in population sizes

– A population increases through birth and immigration

– Death and emigration out of an area decrease the population

36.1 Population ecology is the study of how and why populations change

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Copyright © 2009 Pearson Education, Inc.

36.2 Density and dispersion patterns are important population variables

Population density is the number of individuals of a species per unit area or volume

Examples of population density

– The number of oak trees per square kilometer in a forest

– The number of earthworms per cubic meter in forest soil

Ecologists use a variety of sampling techniques to estimate population densities

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Copyright © 2009 Pearson Education, Inc.

Within a population’s geographic range, local densities may vary greatly

The dispersion pattern of a population refers to the way individuals are spaced within their area

36.2 Density and dispersion patterns are important population variables

Video: Flapping Geese (clumped)

Video: Albatross Courtship (uniform)

Video: Prokaryotic Flagella (Salmonella typhimurium) (random)

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Page 9: Chapter 36

Copyright © 2009 Pearson Education, Inc.

The dispersion pattern of a population refers to the way individuals are spaced within their area

Dispersion patterns can be

– Clumped

– Uniform

– Random

36.2 Density and dispersion patterns are important population variables

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In a clumped pattern individuals are grouped in patches

36.2 Density and dispersion patterns are important population variables

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Copyright © 2009 Pearson Education, Inc.

In a uniform pattern individuals are equally spaced in the environment

36.2 Density and dispersion patterns are important population variables

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In a random pattern of dispersion, the individuals in a population are spaced in an unpredictable way

36.2 Density and dispersion patterns are important population variables

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36. 3 Life tables track survivorship in populations

Life tables track survivorship over the life span of individuals in a population

Survivorship curves plot the proportion of individuals alive at each age

– Type I

– Type II

– Type III

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Percentage of maximum life span

Per

cen

tag

e o

f su

rviv

ors

(lo

g s

cale

)

0 50 1000.1

1

10

100

III

II

I

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Copyright © 2009 Pearson Education, Inc.

36.4 Idealized models predict patterns of population growth

Exponential growth model

– The rate of population increases under ideal conditions

– Calculated using the equation G = rN

– G is the growth rate of the population

– N is the population size

– r is the per capita rate of increase

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Time (months)

Po

pu

lati

on

siz

e (N

)

0 1 2 3 4 5 6 7 8 9 10 11 120

50

100

150

200

250

300

350

400

450

500

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Copyright © 2009 Pearson Education, Inc.

Logistic growth model

– This growth model takes into account limiting factors

– Limiting factors are environmental factors that restrict population growth

– Formula

36.4 Idealized models predict patterns of population growth

(K N)G = rN

K

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Year

Bre

edin

g m

ale

fur

seal

s(t

ho

usa

nd

s)

1915 1925 1935 19450

2

4

6

8

10

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Copyright © 2009 Pearson Education, Inc.

Idealized models describe two kinds of population growth

– Exponential growth

– Logistic growth

36.4 Idealized models predict patterns of population growth

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Time

Nu

mb

er o

f in

div

idu

als

(N)

0

K

G = rN

G = rN(K – N)

K

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Copyright © 2009 Pearson Education, Inc.

36.5 Multiple factors may limit population growth

The logistic growth model

– Population growth slows and ceases as population density increases

– Increasing population density results in a decrease in birth rate, an increase in death rate, or both

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Density of females

Clu

tch

siz

e

0 10 20 30 40 50 60 70 802.8

3.0

3.2

3.4

3.6

3.8

4.0

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Abiotic factors may reduce population size before other limiting factors become important

36.5 Multiple factors may limit population growth

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Apr May Jun Jul Aug Sep Oct Nov Dec

Nu

mb

er o

f ap

hid

s

Exponentialgrowth

Suddendecline

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Most populations fluctuate in numbers

36.5 Multiple factors may limit population growth

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Time (years)

Nu

mb

er o

f fe

mal

es

1975 1980 1985 1990 1995 20000

20

40

60

80

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Copyright © 2009 Pearson Education, Inc.

36.6 Some populations have “boom-and-bust” cycles

Some populations fluctuate in density with regularity

Boom-and-bust cycles

– Food shortages

– Predator-prey interactions

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Lynx

Snowshoe hare

Ly

nx

po

pu

lati

on

siz

e(t

ho

usa

nd

s)

Ha

re p

op

ula

tio

n s

ize

(th

ou

san

ds)

Year1850 1875 1900 1925

0

40

80

120

160

0

3

6

9

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Copyright © 2009 Pearson Education, Inc.

36.7 EVOLUTION CONNECTION: Evolution shapes life histories

Life history

– Series of events from birth to death

r/K selection

– r-selective traits

– K-selective traits

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Males Females

Experimentaltransplant ofguppies

Predator: Killifish; preysmainly on small guppies

Guppies:Larger atsexual maturitythan those inpike-cichlid pools

Pools with killifish,but no guppies priorto transplant

Predator: Pike-cichlid preys mainly on large guppies

Guppies: Smaller at sexual maturity thanthose in killifish pools11 years

later

Mas

s o

f g

up

pie

sat

mat

uri

ty (

mg

)

40

80

120

160

200

67.5 76.1

161.5185.6

Ag

e o

f g

up

pie

sat

mat

uri

ty (

day

s)

Males Females

20

40

60

80100

48.558.2

85.792.3 Control:Guppies from poolswith pike-cichlidsas predators

Experimental:Guppies transplantedto pools with killifishas predators

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Predator: Killifish; preysmainly on small guppies

Experimentaltransplant ofguppies

Guppies:Larger atsexual maturitythan those inpike-cichlid pools

Pools with killifish,but no guppies priorto transplant

Predator: Pike-cichlid preys mainly on large guppies

Guppies: Smaller at sexual maturity thanthose in killifish pools

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Males Females

Mas

s o

f g

up

pie

sat

mat

uri

ty (

mg

)

Males Females

4080

120160200

67.5 76.1

161.5185.6

Ag

e o

f g

up

pie

sat

mat

uri

ty (

day

s)

2040

60

80100

48.558.2

85.7 92.3 Control:Guppies from poolswith pike-cichlidsas predators

Experimental:Guppies transplantedto pools with killifishas predators

11 yearslater

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Copyright © 2009 Pearson Education, Inc.

36.8 CONNECTION: Principles of population ecology have practical applications

Sustainable resource management

– Maximum sustained yield

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1960

Yie

ld (

tho

usa

nd

s o

f m

etri

c to

ns)

1970 1980 1990 20000

100

200

300

400

500

600

700

800

900

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36.9 The human population continues to increase, but the growth rate is slowing

Human population is expected to continue increasing for several decades

95% of the increase is in developing nations

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1500

Year

Population increase

Total population size

To

tal p

op

ula

tio

n (

in b

illio

ns

)

1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 20500

2

4

6

8

10

20

40

60

80

100

An

nu

al in

cre

ase

(in

mill

ion

s)

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Year

Birth rateDeath rate

Rate of increase (r)

1900 19501925 1975 2000 2025 20500

10

20

30

40

50

Bir

th o

r d

eath

rat

ep

er 1

,000

po

pu

lati

on

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Copyright © 2009 Pearson Education, Inc.

Population momentum of Mexico

36.9 The human population continues to increase, but the growth rate is slowing

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0 1 2 3 4 55 4 3 2 1 0 1 2 3 4 55 4 3 2 1

1980

Age

Male Female

80+75-7970-7465-6960-6455-5950-5445-4940-4435-3930-3425-2920-2415-1910-14

5-90-4

Population in millionsTotal population size = 68,347,479

Population in millionsTotal population size = 106,202,903

FemaleMale

2005 2030

FemaleMale

Population in millionsTotal population size = 135,172,155

0 1 2 3 4 55 4 3 2 1

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Age

80+75-7970-7465-6960-6455-5950-5445-4940-4435-3930-3425-2920-2415-1910-14

5-90-4

5 4 3 2 1 0 1 2 3 4 5Population in millions

Total population size = 68,347,479

1980

Male Female

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5 4 3 2 1 0 1 2 3 4 5

Age

80+75-7970-7465-6960-6455-5950-5445-4940-4435-3930-3425-2920-2415-1910-14

5-90-4

Population in millionsTotal population size = 106,202,903

FemaleMale

2005

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5 4 3 2 1 0 1 2 3 4 5

Age

80+75-7970-7465-6960-6455-5950-5445-4940-4435-3930-3425-2920-2415-1910-14

5-90-4

2030

FemaleMale

Population in millionsTotal population size = 135,172,155

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36.10 CONNECTION: Age structures reveal social and economic trends

Age structure diagram

– Reveals a population’s growth trends

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Age1980

Birth years Male Female2005 2030

Birth years Male Female Birth years Male Female80+ before 1900 before 1926 before 1951

1951-551926-301901-190575-7970-74 1906-10 1931-35 1956-60

1961-651936-401911-1565-6960-6455-59

1916-20 1941-45 1966-701971-751946-501921-25

50-54 1926-30 1951-55 1976-801981-851956-601931-3545-49

40-44 1936-40 1961-65 1986-901991-951966-701941-4535-39

30-34 1946-50 1971-75 1996-20002001-051976-801951-5525-29

20-24 1956-60 1981-85 2006-102011-151986-901961-6515-19

10-14 1966-70 1991-95 2016-202021-251996-20001971-755-9

0-4 1976-80 2001-2005 2026-30

12 10 8 6 4 2 0 2 4 6 8 10 12Population in millions

Total population size = 363,811,435Population in millions

Total population size = 295,734,134

12 10 8 6 4 2 0 2 4 6 8 10 1212 10 8 6 4 2 0 2 4 6 8 10 12Population in millions

Total population size = 227,726,463

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36.11 CONNECTION: An ecological footprint is a measure of resource consumption

U.S. Census Bureau projection

– 8 billion people within the next 20 years

– 9.5 billion by mid-21st century

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Ecological footprint helps understand resource availability and usage

The United States has a

– Big ecological footprint

– Large ecological deficit

36.11 CONNECTION: An ecological footprint is a measure of resource consumption

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Copyright © 2009 Pearson Education, Inc.

You should now be able to

1. Explain the factors that determine the characteristics of a population

2. Describe exponential growth and the factors that produce logistic growth of a population

3. Explain the limiting factors that influence population growth

4. Distinguish between r- and K-strategies

5. Describe and give examples of the different types of life histories

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6. Explain the factors the determine human population growth

7. Describe the concept of ecological footprint

You should now be able to