Download - Ch. 53 Exponential and Logistic Growth

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Page 1: Ch. 53 Exponential and Logistic Growth

Ch. 53 Exponential and Logistic

GrowthObjective:

SWBAT explain how competition for resources limits exponential growth and can be described by the logistic growth

model.

Page 2: Ch. 53 Exponential and Logistic Growth

Unrealistic! Does not take into account

limiting factors (resources and competition). However, a good model for showing upper

limits of growth and conditions that would facilitate growth.

Exponential Growth

Page 3: Ch. 53 Exponential and Logistic Growth

Exponential Growth

EquationChange inpopulation

sizeBirths

Immigrantsentering

populationDeaths

Emigrantsleaving

population

N B Dt

Per capita (individual)

B bND mN

N bN mNt

Per capita growth rate

r b m

Nt

rN

dNdt

rmaxN

Under ideal conditions, growth rate is at its max

Page 4: Ch. 53 Exponential and Logistic Growth

Exponential

growth results in a J curve.

Exponential Graph

Number of generations

Popu

latio

n si

ze (N

)

0 5 10 15

2,000

1,500

1,000

500

dNdt

dNdt

= 1.0N

= 0.5N

Page 5: Ch. 53 Exponential and Logistic Growth

Can occur when:

Populations move to a new area.

Rebounding after catastrophic event (Cambrian explosion)

Real Life Examples

Year

Elep

hant

pop

ulat

ion

8,000

6,000

4,000

2,000

01900 1910 1920 1930 1940 1950 1960 1970

Page 6: Ch. 53 Exponential and Logistic Growth

Takes into account limiting factors. More realistic. Population size increases until a carrying capacity

(K) is reached (then growth decreases as pop. size increases). point at which resources and population size are in

equilibrium. K can change over time (seasons, pred/prey

movements, catastrophes, etc.).

Logistic Growth

Page 7: Ch. 53 Exponential and Logistic Growth

Logistic Growth

Equation

dNdt

(K N)Krmax N

Page 8: Ch. 53 Exponential and Logistic Growth

Logistic growth

results in an S-shaped curve

Logistic Graph

Number of generations

Population growthbegins slowing here.

Exponentialgrowth

Logistic growth

Popu

latio

n si

ze (N

)

0 5 1510

2,000

1,500

1,000

500

0

K = 1,500

dNdt

= 1.0N

dNdt

= 1.0N

1,500 – N1,500( )

Page 9: Ch. 53 Exponential and Logistic Growth

Real Life Examples

Time (days) Time (days)

(a) A Paramecium population in the lab

(b) A Daphnia population in the lab

Num

ber o

f Paramecium

/mL

Num

ber o

f Daphnia

/50

mL

1,000

800

600

400

200

00 5 10 2015 0 16040 60 80 100 120 140

180

150

120

9060

30

0

Note overshoot