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Chapter 53: Population Ecology AP Biology 2013 Population Ecology the study of populations in relation to the environmental influences on population density and distribution, age structure, and variations in population size Fur Seals (Ca!orhinus ursinus), St. Paul Island, Alaska Population group of individuals of a single species living in the same general area populations evolve through natural selection Density - the number of individuals per unit area or volume Dispersion - the pattern of spacing among individuals within the boundaries of the population 1 2 3

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Chapter 53: Population EcologyAP Biology 2013

Population Ecologythe study of populations in relation to the environmental influences on population density and distribution, age structure, and variations in population size

Fur Seals (Ca!orhinus

ursinus), St. Paul Island,

Alaska

Populationgroup of individuals of a single species living in the same general area

populations evolve through natural selection

Density - the number of individuals per unit area or volume

Dispersion - the pattern of spacing among individuals within the boundaries of the population

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Density: A Dynamic Perspective

Density is often estimated from population indexes like number of nests, burrows, tracks or feces.

Mark and Recapture Method

Birth rate and death rate

Immigration - influx of new individuals from other areas

Emigration - movement of individuals out of a population

Births and immigration add

individuals to a population.

Births Immigration

PopuIation

size

Emigration

Deaths

Deaths and emigration

remove individuals from a

population. Fig. 53.3

Mark and RecaptureAssumes each organism has an equal chance of being captured

Scientists capture, tag, and release a random sample of individuals (s) in a population

Marked individuals are given time to mix back into the population

Scientists capture a second sample of individuals (n) and note how many of them are marked (x)

Population size (N) is estimated by the equation N=(sn)/x

Dispersion Patterns

Environmental and Social factors influence spacing.

Types of spacing:

Clumped

Uniform

Random

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Clumped DispersionIndividuals aggregate in patches

Plants and fungi can be clumped based on soil conditions (microenvironments)

Clumping may be associated with mating behavior

Increases effectiveness of predators Fig. 53.4

Uniform DispersionEvenly spaced (not as common as clumped patterns)

May result from direct interactions between individuals in the population

Some plants secrete chemicals that inhibit the germination and growth of nearby individuals

Can be a result of antagonistic social interactions

Territoriality - defense of a bounded physical space against encroachment by other individuals

Figure 52.3b

(b) Uniform. Birds nesting on small islands, such as these king penguins on South Georgia Island in the South

Atlantic Ocean, often exhibit uniform spacing, maintained by aggressive interactions between neighbors.

Fig. 53.4

Random DispersionUnpredictable spacing (not very common)

Occurs in the absence of strong attractions or repulsions among individuals of a population

Key physical and chemical factors must be relatively homogeneous across the study area

The position of each individual is independent of other individuals

(c) Random. Dandelions grow from windblown seeds that land at random and later germinate.

Figure 52.3c

Fig. 53.4

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Demographythe study of the vital statistics of populations and how they change over time

Birth rates and death rates

Life tables - age-specific summaries of survival patterns of a population

Cohort - group of individuals of the same age studied from birth to death

Survivorship Curvesplot of the proportion or numbers in a cohort still alive at each age

Type I - flat at start and drops steeply in older age groups (large mammals that produce few offspring but provide significant care)

Type III - drop sharply at start and then level off (organisms that produce many offspring and provide little care)

Type II - constant death rate (rodents, invertebrates, some lizards, annual plants)

Reproductive Rates

age-specific summary of the reproductive rates in a population (fertility schedule)

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Exponential Growth

Only occurs in an idealized, unlimited environment

Eventually as resources are depleted, population size will level off.

Intrinsic rate of increase - rate of increase is at its maximum

Per Capita Rate of IncreaseIf immigration and emigration are ignored, population rate equals birth rate minus death rate

N = population size

t = time

B = number of births

D = number of deaths

b = per capita birth rate

m = per capita death rate

r = per capita rate of increase

ΔN/Δt = B - DB = bN

D = mNThus, ΔN/Δt = bN - mN

r = b - m

Thus, ΔN/Δt = rN

Per Capita Rate of Increase

r > 0, population is growing

r < 0, population is decreasing

r = 0, population stays the same

dN

dt = r

maxN

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Exponential Growth

J-shaped curvecharacteristic of populations that are rebounding

Number of generations

Pop

ulat

ion

size

(N)

0 5 10 15

2,000

1,500

1,000

500

dN dt

dN dt

= 1.0N

= 0.5N

Fig. 53.7

Year E

leph

ant p

opul

atio

n

8,000

6,000

4,000

2,000

0 1900 1910 1920 1930 1940 1950 1960 1970

Fig. 53.8

Carrying Capacity

Resources are never unlimited, thus exponential models have limited uses.

Carrying capacity (K) - maximum population size that a particular environment can support

Not fixed (can change over time)

Logistic Growth Model

Per capita rate of increase declines as carrying capacity is reached

Start with an exponential model and add an expression that reduces the per capita rate of increase as N increases

dN

dt =

(K - N)

K rmax

N

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Logistic Growth in Real Populations

Figure 52.13c

0

80

60

40

20

�1975 �1980 �1985 �1990 �1995 �2000

Time (years) N

um

ber

of

fem

ale

s

(c) A song sparrow population in its natural habitat. The population of female song sparrows nesting on

Mandarte Island, British Columbia, is periodically reduced by severe winter weather, and population

growth is not well described by the logistic model.

Some populations fluctuate greatly and make it difficult to

define K

Logistic Model and Life Histories

High density populations = few resources = slow population growth (iteroparity)

Low density populations = abundant resources = rapid population growth (semelparity)

K-selection - density-dependent selection (iteroparity)

r-selection = density-independent selection (semelparity)

Life Historytraits that affect an organism’s schedule of reproduction and survival

Three variables:

when reproduction begins (age of first reproduction)

how often the organism reproduces

how many offspring are produced during each reproductive episode

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Life History Diversity

Semelparity (big-bang reproduction) - produce many offspring and then die (ex. salmon, agave)

Iteroparity (repeated reproduction) - produce offspring several times over life (ex. birds, most mammals) Fig. 53.12

Population Change and Population Density

Density independent - birth rate or death rate that does not change with population density

Density dependent - death rate rises or a birth rate that falls as population rises

Population and Density

K-selection (density-dependent selection) - selects for life history traits that are sensitive to population density

r-selection (density-independent selection) - selects for life history traits that maximize reproduction

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Density Dependent Regulation

Negative feedback

Mechanisms that affect density dependent regulation:

Population Dynamics

study of the complex interactions between abiotic and biotic factors that cause variation in population size

Stability and Fluctuation

Long-term population studies challenge the idea that large mammals are stable over time

Wolves Moose

Year

Num

ber

of w

olve

s

Num

ber

of m

oose

1955 1965 1975 1985 1995 2005

50

40

30

20

10

0

2,500

2,000

1,500

1,000

500

0

Fig. 53.18

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Stability and Fluctuation

Extreme fluctuation is more common in invertebrates than large mammals

Figure 52.19

1950 1960 1970 1980

Year

1990

10,000

100,000

730,000

Co

mm

erc

ial ca

tch

(kg

) o

f

ma

le c

rab

s (

log

sca

le)

Metapopulations and Immigration

Metapopulations - groups of populations linked by immigration and emigration

Can allow for greater stability

Mandarte island

Small islands

Num

ber

of bre

edin

g fem

ale

s

1988 1989 1990 1991

Year

0

10

20

30

40

50

60

Figure 52.20

Population CyclesSome species have regular, predictable population cycles (boom and bust)

Ex. Linx and Snow-shoe Hare have a ten-year cycle

What could cause this?

How could an experiment be designed to test this?

Snowshoe hare

Lynx

Year 1850 1875 1900 1925

Num

ber

of h

ares

(t

hous

ands

)

Num

ber

of ly

nx

(tho

usan

ds)

160

120

80

40

0

9

6

3

0

Figure 53.19

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Human Population Growth

Population explosion of humans since 1650

Global population grows by approximately 201,000 per day (every 4 years the Earth adds about as many people as live in the United States)

Population rate of increase has begun to fall since the 1960s

Impact of disease and voluntary population control

Regional Population PatternsTwo options for zero population growth

Zero population growth = high birth rate - high death rate

Zero population growth = low birth rate - low death rate

The change from the first option to the second his called demographic transition

Figure 52.24

50

40

20

0

30

10

1750 1800 1850 1900 1950 2000 2050

Birth rate

Death rate

Birth rate

Death rate

Year

Sweden Mexico

Birth

or

death

rate

per

1,0

00 p

eople

Age Structurerelative number of individuals at each age

Percent of population Percent of population Percent of population

Rapid growth Afghanistan

Slow growth United States

No growth Italy

Male Male Male Female Female Female Age 85+

80–84 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

Age 85+

80–84 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

10 0 10 8 8 8 8 8 8 6 6 6 6 6 6 4 4 4 4 4 4 2 2 2 2 2 2 0 0

Fig. 53.24

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Infant Mortality

the number of infant deaths per 1,000 live births

Life expectancy at birth - predicted average length of life at birth

Indus- trialized

countries

Indus- trialized

countries

Less indus- trialized

countries

Less indus- trialized

countries

Infa

nt m

orta

lity

(dea

ths

per

1,00

0 bi

rths

)

Life

exp

ecta

ncy

(yea

rs)

60

50

40

30

20

10

0

80

60

40

20

0

Fig. 53.25

Global Human Carrying Capacity

No idea how many people the Earth can support

Estimates range from 1 billion to 1,000 billion

Average estimate is between 10 and 15 billion (we will reach this in a few decades)

Ecological Footprint

summarizes the aggregate land and water area appropriated by each nation to produce all the resources it consumes and absorb all the waste it generates

calculated in hectares (1 ha = 2.47 acres)

If you add up all the ecologically productive land each person should have about 2 ha

Figure 52.27

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14

12

10

8

6

4

2

0 0 2 4 6 8 10 12 14 16

New Zealand

Australia Canada

Sweden

World

China India

Available ecological

capacity (ha per person)

Spain UK

Japan

Germany

Netherlands Norway

USA

Eco

log

ica

l fo

otp

rin

t (h

a p

er

pe

rso

n)

Gigajoules > 300 150–300 50–150 10–50 < 10

Fig. 53.26

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