Population Ecology
description
Transcript of Population Ecology
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Population Ecology
Chapter 52
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Study of populations in relation to environment
– Environmental influences on:• population density and distribution• age structure• variations in population size
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Definition of Population:• Group of individuals of a single species living in the
same general area
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Density and Dispersion
• Density– Is the number of individuals per unit area or
volume
• Dispersion– Is the pattern of spacing among individuals
within the boundaries of the population
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Density: A Dynamic Perspective• Determining the density of natural populations is
possible, but difficult to accomplish
• In most cases it is impractical or impossible to count all individuals in a population
– How do wildlife biologists approximate populations?
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Estimating Wildlife Population Size
Defined Populations
Undefined Populations
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• Density is the result of a dynamic interaction of processes that add individuals to a population and
those that remove individuals from it
Figure 52.2
Births and immigration add individuals to a population.
Births Immigration
PopuIationsize
Emigration
Deaths
Deaths and emigration remove individuals from a population.
How do these factors Contribute to Population Size??
• Births• Deaths• Immigration• Emigration
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Patterns of Dispersion• Environmental and social factors influence the
spacing of individuals in a population
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Clumped Dispersion
– Individuals aggregate in patches– May be influenced by resource availability
and behavior
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Uniform Dispersion– Individuals are evenly distributed– May be influenced by social interactions
such as territoriality
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Random Dispersion• Position of each individual is independent of
other individuals
(c) Random. Dandelions grow from windblown seeds that land at random and later germinate.
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Life history traits are products of natural selection
• Life history traits are evolutionary outcomes– Reflected in the development, physiology, and
behavior of an organism
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Semelparity: Big Bang
– Reproduce a single time and die
Figure 52.6
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Iteroparity – Repeated Reproduction– Produce offspring repeatedly over time
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“Trade-offs” and Life Histories• Organisms have finite resources
The lower survival rates of kestrels with larger broods indicate that caring for more offspring negatively affects survival of the parents.CONCLUSION
100
80
60
40
20
0Reduced
brood sizeNormal brood
sizeEnlarged
brood size
Par
ents
sur
vivi
ng th
e fo
llow
ing
win
ter (
%)
MaleFemale– Which may lead
to trade-offs between survival and reproduction
RESULTS
– Kestrels:• Produce a few eggs?
– Can invest more into each, ensuring greater survival
• Produce many eggs?– Costly but if all
survive, fitness is better
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More is Better?• Some plants produce a large number of small
seeds– Ensuring that at least some of them will
grow and eventually reproduce
Figure 52.8a
(a) Most weedy plants, such as this dandelion, grow quickly and produce a large number of seeds, ensuring that at least somewill grow into plants and eventually produce seeds themselves.
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Fewer is Better?• Other types of plants produce a moderate
number of large seeds– That provide a large store of energy that
will help seedlings become established
Figure 52.8b
(b) Some plants, such as this coconut palm, produce a moderate number of very large seeds. The large endosperm provides nutrients for the embryo, an adaptation that helps ensure the success of a relatively large fraction of offspring.
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Demography
• Study of the vital statistics of a population– And how they change over time
• Death rates and birth rates
• Zero population growth – Occurs when the birth rate equals the death
rate
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Exponential Population GrowthPopulation increase under idealized conditions
No limits on growth• Under these conditions
– The rate of reproduction is at its maximum, called the intrinsic rate of increase
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Example-understanding growth
Question: I offer you a job for 1 cent/day and your pay will double every day. You will be hired for 30 days. Will you take my job offer?
Answer: If you said YES, you will have made $~21 million dollars for 30 days of work.
How is this possible?????
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1ST DAY OF WORK: 1 cent pay/day30TH DAY OF WORK: ~10.2 million/day
How is this possible?????
Amou
nt o
f Pa
y/D
ay
# of Days
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Exponential Growth Model*Idealized population in an unlimited
environment
*Very rapid doubling time; steep J curve
*r=N=(b-d)N tr=instrinsic rate of growth
dNdt rmaxN
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Exponential Growth in the Real World
• Characteristic of some populations that are rebounding
1900 1920 1940 1960 1980Year
0
2,000
4,000
6,000
8,000
Ele
phan
t po
pula
tion
–Cannot be sustained for long in any population
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Logistic Population Growth
• A more realistic population model– Limits growth by incorporating carrying capacity
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Logistic Population Growth
• Carrying capacity (K)– Is the maximum population size the
environment can support
• In the logistic population growth model– The per capita rate of increase declines as
carrying capacity is reached
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Logistic Growth Equation
– Includes K, the carrying capacity
dNdt (K N)
Krmax N
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Logistic Population Growth– Produces a sigmoid (S-shaped) curve
Figure 52.12
dNdt
1.0N Exponential growth
Logistic growth
dNdt
1.0N1,500 N
1,500
K 1,500
0 5 10 150
500
1,000
1,500
2,000
Number of generations
Pop
ulat
ion
size
(N)
dNdt (K N)
Krmax N
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Figure 52.13a
800
600
400
200
0
Time (days)0 5 10 15
(a) A Paramecium population in the lab. The growth of Paramecium aurelia in small cultures (black dots) closely approximates logistic growth (red curve) if the experimenter maintains a constant environment.
1,000
Num
ber o
f Par
amec
ium
/ml
The Logistic Model and Real Populations
• The growth of laboratory populations of paramecia– Fits an S-shaped curve
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Logistic Growth and The Real World
• Some populations overshoot K– Before settling down to a relatively stable
density
Figure 52.13b
180
150
0
120
90
60
30
Time (days)
0 16014012080 100604020
Num
ber o
f Dap
hnia
/50
ml
(b) A Daphnia population in the lab. The growth of a population of Daphnia in a small laboratory culture (black dots) does not correspond well to the logistic model (red curve). This population overshoots the carrying capacity of its artificial environment and then settles down to an approximately stable population size.
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Logistic Growth and the Real World• Some populations
– Fluctuate greatly around K
Figure 52.13c
0
80
60
40
20
1975 1980 1985 1990 1995 2000
Time (years)
Num
ber o
f fem
ales
(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.
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The Logistic Model and Life Histories
• Life history traits favored by natural selection– May vary with population density and
environmental conditions
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Life History and Logistic Growth• K-selection, or density-dependent selection
– Selects for life history traits that are sensitive to population density• Reproduce slowly, small litters
• r-selection, or density-independent selection– Selects for life history traits that maximize
reproduction• Reproduce rapidly, large litters
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Natural selection (diverse reproductive strategies)a) Relatively few, large offspring (K selected species)b) Many, small offspring (r selected species)
(r selected species)
(K selected species)
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Human Populations• No population can grow indefinitely and humans are no
exception
Figure 52.22
8000 B.C.
4000 B.C.
3000 B.C.
2000 B.C.
1000 B.C.
1000 A.D.
0
The Plague
Hum
an p
opul
atio
n (b
illio
ns)
2000 A.D.
0
1
2
3
4
5
6
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Global Carrying Capacity
• Just how many humans can the biosphere support?
• Carrying capacity of earth is unknown….
http://www.youtube.com/watch?v=UUOEcNomakw&feature=rec-LGOUT-exp_fresh+div-1r-8-HMhttp://www.youtube.com/watch?v=4B2xOvKFFz4&feature=related
http://www.youtube.com/watch?v=9_9SutNmfFk
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Populations Regulated Biotic and Abiotic Factors
Two general questions we can ask about regulation of population growth
1. What environmental factors stop a population from growing?
2. Why do some populations show radical fluctuations in size over time, while others remain stable?
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Population Change and Population Density
• In density-independent populations– Birth rate and death rate do not change with
population density
• In density-dependent populations– Birth rates fall and death rates rise with
population density
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Density-Dependent Population Regulation
• Density-dependent birth and death rates– Are an example of negative feedback that
regulates population growth– Are affected by many different mechanisms
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Competition for Resources• In crowded populations, increasing population density
– Intensifies intraspecific competition for resources
Figure 52.15a,b
100 100
100
0
1,000
10,000
Ave
rage
num
ber o
f see
ds
per r
epro
duci
ng in
divi
dual
(lo
g sc
ale)
Ave
rage
clu
tch
size
Seeds planted per m2 Density of females
0 7010 20 30 40 50 60 802.8
3.0
3.2
3.4
3.6
3.8
4.0
(a) Plantain. The number of seeds produced by plantain (Plantago major) decreases as density increases.
(b) Song sparrow. Clutch size in the song sparrow on Mandarte Island, British Columbia, decreases as density increases and food is in short supply.
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Territoriality
• In many vertebrates and some invertebrates– Territoriality may limit density
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Territoriality Example: Cheetas• Cheetahs are highly territorial
– Using chemical communication to warn other cheetahs of their boundaries
Figure 52.16
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Territoriality: Ocean birds– Exhibit territoriality in nesting behavior
Figure 52.17
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Health
• Population density– Can influence the health and survival of
organisms• In dense populations
– Pathogens can spread more rapidly
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Predation
• As a prey population builds up– Predators may feed preferentially on that
species
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Intrinsic Factors
• For some populations– Intrinsic (physiological) factors appear to
regulate population size
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Population Dynamics
• The study of population dynamics– Focuses on the complex interactions
between biotic and abiotic factors that cause variation in population size
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Fluctuations in Population Size• Extreme fluctuations in population size
– Are typically more common in invertebrates than in large mammals
Figure 52.19
1950 1960 1970 1980Year
1990
10,000
100,000
730,000C
omm
erci
al c
atch
(kg)
of
mal
e cr
abs
(log
scal
e)
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Metapopulations and Immigration• Metapopulations
– Groups of populations linked by immigration and emigration
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Immigration- Movement Into a Population
• High levels of immigration combined with higher survival can result in greater stability in populations
Figure 52.20
Mandarte island
Small islands
Num
ber o
f bre
edin
g fe
mal
es
1988 1989 1990 1991Year
0
10
20
30
40
50
60
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Population Cycles• Many populations undergo regular boom-and-bust
cycles
Year1850 1875 1900 1925
0
40
80
120
160
0
3
6
9
Lynx
pop
ulat
ion
size
(th
ousa
nds)
Har
e po
pula
tion
size
(th
ousa
nds)
Lynx
Snowshoe hare
• Influenced by complex interactions between biotic and abiotic factors
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The Global Human Population• The human population increased relatively
slowly until about 1650 and then began to grow exponentially
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Regional Patterns of Population Change
• To maintain population stability– A regional human population can exist in
one of two configurations• Zero population growth = High birth rates –
High death rates• Zero population growth = Low birth rates –
Low death rates
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Age Structure
• One important demographic factor in present and future growth trends– Is a country’s age structure, the relative
number of individuals at each age
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• Age structure is commonly represented in pyramids
Figure 52.25
Rapid growth Afghanistan
Slow growth United States
Decrease Italy
Male Female Male Female Male FemaleAge Age
8 6 4 2 0 2 4 6 8 8 6 4 2 0 2 4 6 8 8 6 4 2 0 2 4 6 8Percent of population Percent of population Percent of population
80–8485
75–7970–7465–6960–6455–5950–5445–4940–4435–3930–34
20–2425–29
10–145–90–4
15–19
80–8485
75–7970–7465–6960–6455–5950–5445–4940–4435–3930–34
20–2425–29
10–145–90–4
15–19
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Infant Mortality and Life Expectancy• Infant mortality and life expectancy at birth
– Vary widely among developed and developing countries but do not capture the wide range of the human condition
Figure 52.26
Developed countries
Developing countries
Developed countries
Developing countries
Infa
nt m
orta
lity
(dea
ths
per 1
,000
birt
hs)
Life
exp
ecta
ncy
(yea
rs)
60
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20
10
0
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