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Chapter 36

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Population Ecology

PowerPoint Lectures for

Biology: Concepts & Connections, Sixth Edition Campbell, Reece, Taylor, Simon, and Dickey

Lecture by Brian R. Shmaefsky 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

Copyright © 2009 Pearson Education, Inc.

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Introduction: A Tale of Two Fishes

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 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

Copyright © 2009 Pearson Education, Inc.

36.1 Population ecology is the study of how and0 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

Copyright © 2009 Pearson Education, Inc.

36.1 Population ecology is the study of how and0 why populations change  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 Copyright © 2009 Pearson Education, Inc.

36.2 Density and dispersion patterns are important population variables

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 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 Copyright © 2009 Pearson Education, Inc.

36.2 Density and dispersion patterns are important population variables

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 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

Video: Flapping Geese (clumped) Video: Albatross Courtship (uniform)

Video: Prokaryotic Flagella (Salmonella typhimurium) (random) Copyright © 2009 Pearson Education, Inc.

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36.2 Density and dispersion patterns are important population variables

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 The dispersion pattern of a population refers to the way individuals are spaced within their area  Dispersion patterns can be – Clumped – Uniform – Random

Copyright © 2009 Pearson Education, Inc.

36.2 Density and dispersion patterns are important population variables  In a clumped pattern individuals are grouped in patches

Copyright © 2009 Pearson Education, Inc.

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36.2 Density and dispersion patterns are important population variables

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 In a uniform pattern individuals are equally spaced in the environment

Copyright © 2009 Pearson Education, Inc.

0

36.2 Density and dispersion patterns are important population variables  In a random pattern of dispersion, the individuals in a population are spaced in an unpredictable way

Copyright © 2009 Pearson Education, Inc.

0

0 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

Copyright © 2009 Pearson Education, Inc.

Percentage of survivors (log scale)

100

I

10 II 1 III 0.1 0

50 Percentage of maximum life span

100

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

Copyright © 2009 Pearson Education, Inc.

0

500

Population size (N)

450 400 350 300 250 200 150 100 50 0 0 1 2 3 4 5 6 7 8 9 10 11 12 Time (months)

36.4 Idealized models predict patterns of population growth  Logistic growth model – This growth model takes into account limiting factors – Limiting factors are environmental factors that restrict population growth – Formula

Copyright © 2009 Pearson Education, Inc.

(K − N) G = rN K

0

Breeding male fur seals (thousands) 10 8

6

4

2

0 1915 1925 1935 1945 Year

36.4 Idealized models predict patterns of population growth  Idealized models describe two kinds of population growth – Exponential growth – Logistic growth

Copyright © 2009 Pearson Education, Inc.

0

Number of individuals (N)

G = rN K

0

G = rN

Time

(K – N) K

0 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

Copyright © 2009 Pearson Education, Inc.

4.0

Clutch size

3.8 3.6 3.4 3.2 3.0 2.8

0

10

20

50 40 60 30 Density of females

70

80

0 36.5 Multiple factors may limit population growth

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

Copyright © 2009 Pearson Education, Inc.

Number of aphids

Exponential growth

Apr

May Jun

Sudden decline

Jul

Aug Sep

Oct Nov Dec

0 36.5 Multiple factors may limit population growth

 Most populations fluctuate in numbers

Copyright © 2009 Pearson Education, Inc.

Number of females

80

60

40

20

0

1975

1980

1985 1990 Time (years)

1995

2000

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

Copyright © 2009 Pearson Education, Inc.

0

Hare population size (thousands) 160

120 Lynx

80 6

40 3

0 0

1850 1875 1900 Year 9

1925

Lynx population size (thousands)

Snowshoe hare

36.7 EVOLUTION CONNECTION: Evolution 0 shapes life histories  Life history – Series of events from birth to death

 r/K selection – r-selective traits – K-selective traits

Copyright © 2009 Pearson Education, Inc.

Experimental transplant of guppies Predator: Killifish; preys mainly on small guppies

Pools with killifish, but no guppies prior to transplant

Guppies: Larger at sexual maturity than those in pike-cichlid pools

Predator: Pike-cichlid preys mainly on large guppies Guppies: Smaller at sexual maturity than those in killifish pools

200 160 120 80 40

185.6 161.5 67.5 76.1

Males

Females

Age of guppies at maturity (days)

Mass of guppies at maturity (mg)

11 years later 100 80 60 40 20

85.7 92.3 48.5

58.2

Males

Females

Control: Guppies from pools with pike-cichlids as predators Experimental: Guppies transplanted to pools with killifish as predators

Experimental transplant of guppies Predator: Killifish; preys mainly on small guppies

Pools with killifish, but no guppies prior to transplant

Guppies: Larger at sexual maturity than those in pike-cichlid pools

Predator: Pike-cichlid preys mainly on large guppies Guppies: Smaller at sexual maturity than those in killifish pools

200 160 120 80 40

161.5

185.6

67.5 76.1

Males

Females

Age of guppies at maturity (days)

Mass of guppies at maturity (mg)

11 years later

100 80 60 40 20

85.7 92.3 48.5

58.2

Males

Females

Control: Guppies from pools with pike-cichlids as predators Experimental: Guppies transplanted to pools with killifish as predators

36.8 CONNECTION: Principles of population ecology have practical applications  Sustainable resource management – Maximum sustained yield

Copyright © 2009 Pearson Education, Inc.

0

Yield (thousands of metric tons)

900 800 700 600 500 400 300 200 100 0

1960

1970

1980

1990

2000

0 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

Copyright © 2009 Pearson Education, Inc.

80

10 Population increase

8

60

6

40

4 Total population size

20

1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 2050 Year

2 0

Total population (in billions)

Annual increase (in millions)

100

Birth or death rate per 1,000 population

50 40 30 20 10

Rate of increase (r)

Birth rate Death rate

0 1900

1925

1950

1975

Year

2000

2025

2050

0 36.9 The human population continues to increase, but the growth rate is slowing

 Population momentum of Mexico

Copyright © 2009 Pearson Education, Inc.

Age 80+ 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4

2005

1980 Male

5

4

Male

Female

3 2 1 0 1 2 3 4 5 Population in millions Total population size = 68,347,479

5

4

2030 Female

3 2 1 0 1 2 3 4 5 Population in millions Total population size = 106,202,903

Male

5

4

Female

3 2 1 0 1 2 3 4 5 Population in millions Total population size = 135,172,155

Age 80+ 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4

1980 Male

5

Female

3 2 1 0 1 2 3 4 5 Population in millions Total population size = 68,347,479 4

Age 80+ 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4

2005 Male

Female

3 2 1 0 1 2 3 4 5 Population in millions Total population size = 106,202,903

5

4

Age 80+ 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4

2030 Male

Female

3 2 1 0 1 2 3 4 5 Population in millions Total population size = 135,172,155

5

4

36.10 CONNECTION: Age structures reveal social and economic trends  Age structure diagram – Reveals a population’s growth trends

Copyright © 2009 Pearson Education, Inc.

0

1980 Age Birth years Male Female 80+ before 1900 75-79 1901-1905 70-74 1906-10 65-69 1911-15 1916-20 60-64 55-59 1921-25 50-54 1926-30 1931-35 45-49 1936-40 40-44 1941-45 35-39 1946-50 30-34 25-29 1951-55 20-24 1956-60 15-19 1961-65 1966-70 10-14 1971-75 5-9 1976-80 0-4 12 10 8 6 4 2 0 2 4 6 8 10 12 Population in millions Total population size = 227,726,463

2005 Birth years Male Female before 1926 1926-30 1931-35 1936-40 1941-45 1946-50 1951-55 1956-60 1961-65 1966-70 1971-75 1976-80 1981-85 1986-90 1991-95 1996-2000 2001-2005 12 10 8 6 4 2 0 2 4 6 8 10 12 Population in millions Total population size = 295,734,134

Birth years before 1951 1951-55 1956-60 1961-65 1966-70 1971-75 1976-80 1981-85 1986-90 1991-95 1996-2000 2001-05 2006-10 2011-15 2016-20 2021-25 2026-30

2030 Male Female

12 10 8 6 4 2 0 2 4 6 8 10 12 Population in millions Total population size = 363,811,435

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

 U.S. Census Bureau projection – 8 billion people within the next 20 years – 9.5 billion by mid-21st century

Copyright © 2009 Pearson Education, Inc.

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

 Ecological footprint helps understand resource availability and usage  The United States has a – Big ecological footprint – Large ecological deficit

Copyright © 2009 Pearson Education, Inc.

You should now be able to

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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 Copyright © 2009 Pearson Education, Inc.

You should now be able to

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6. Explain the factors the determine human population growth 7. Describe the concept of ecological footprint

Copyright © 2009 Pearson Education, Inc.

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