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6.5 day 2 Logis tic Growt h Greg Kelly, Hanford High School, Richland, Washington Photo by Vickie Kelly, 2004 Columbian Ground Squirrel Glacier National Park, Montana

6.5 day 2

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Photo by Vickie Kelly, 2004. Greg Kelly, Hanford High School, Richland, Washington. 6.5 day 2. Logistic Growth. Columbian Ground Squirrel Glacier National Park, Montana. We have used the exponential growth equation to represent population growth. - PowerPoint PPT Presentation

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Page 1: 6.5 day 2

6.5 day 2

Logistic Growth

Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 2004

Columbian Ground SquirrelGlacier National Park, Montana

Page 2: 6.5 day 2

We have used the exponential growth equationto represent population growth.

0kty y e

The exponential growth equation occurs when the rate of growth is proportional to the amount present.

If we use P to represent the population, the differential equation becomes: dP

kPdt

The constant k is called the relative growth rate.

/dP dtk

P

Page 3: 6.5 day 2

The population growth model becomes: 0ktP Pe

However, real-life populations do not increase forever. There is some limiting factor such as food, living space or waste disposal.

There is a maximum population, or carrying capacity, M.

A more realistic model is the logistic growth model where

growth rate is proportional to both the amount present (P)

and the carrying capacity that remains: (M-P)

Page 4: 6.5 day 2

The equation then becomes:

Logistics Differential Equation

dPkP M P

dt

We can solve this differential equation to find the logistics growth model.

Page 5: 6.5 day 2

PartialFractions

Logistics Differential Equation

dPkP M P

dt

1

dP kdtP M P

1 A B

P M P P M P

1 A M P BP

1 AM AP BP

1 AM

1A

M

0 AP BP AP BPA B1

BM

1 1 1 dP kdt

M P M P

ln lnP M P Mkt C

lnP

Mkt CM P

M

Page 6: 6.5 day 2

Logistics Differential Equation

Mkt CPe

M P

Mkt CM Pe

P

1 Mkt CMe

P

1 Mkt CMe

P

dPkP M P

dt

1

dP kdtP M P

1 1 1 dP kdt

M P M P

ln lnP M P Mkt C

lnP

Mkt CM P

M

Page 7: 6.5 day 2

Logistics Differential Equation

1 Mkt C

MP

e

1 C Mkt

MP

e e

CLet A e

1 Mk t

MP

Ae

Mkt CPe

M P

Mkt CM Pe

P

1 Mkt CMe

P

1 Mkt CMe

P

Page 8: 6.5 day 2

Logistics Growth Model

1 Mk t

MP

Ae

Page 9: 6.5 day 2

Example:

Logistic Growth Model

Ten grizzly bears were introduced to a national park 10 years ago. There are 23 bears in the park at the present time. The park can support a maximum of 100 bears.

Assuming a logistic growth model, when will the bear population reach 50? 75? 100?

Page 10: 6.5 day 2

Ten grizzly bears were introduced to a national park 10 years ago. There are 23 bears in the park at the present time. The park can support a maximum of 100 bears.

Assuming a logistic growth model, when will the bear population reach 50? 75? 100?

1 Mk t

MP

Ae

100M 0 10P 10 23P

Page 11: 6.5 day 2

1 Mk t

MP

Ae

100M 0 10P 10 23P

0

10010

1 Ae

10010

1 A

10 10 100A

10 90A

9A

At time zero, the population is 10.

100

1 9 Mk tP

e

Page 12: 6.5 day 2

100M 0 10P 10 23P

After 10 years, the population is 23.

100

1 9 Mk tP

e

100 10

10023

1 9 ke

1000 1001 9

23ke

1000 779

23ke

1000 0.371981ke

1000 0.988913k

0.00098891k

0.1

100

1 9 tP

e

1 Mk t

MP

Ae

Page 13: 6.5 day 2

0.1

100

1 9 tP

e

Years

BearsWe can graph this equation and use “trace” to find the solutions.

y=50 at 22 years

y=75 at 33 years

y=100 at 75 years