1. Unit 7 Test Tuesday Feb 11th
AP #2
Friday Feb 7th
Computer Lab (room 253)
Monday Feb 10th
HW: p. 357 #23-26, 31, 38, 41, 42

2. Logistic growth is slowed by population-limiting factors
Exponential growth is unlimited growth.
M = Carrying capacity is the maximum population size that an environment can support

3. We have used the exponential growth equation
to represent population growth.
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:
The constant k is called the relative growth rate.

4. The population growth model becomes:
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 fraction of the carrying capacity that remains:

5. The equation then becomes:
Our book writes it this way:
Logistic Differential Equation
We can solve this differential equation to find the logistic growth model.

6. Logistic Differential Equation
Partial
Fractions

7. Logistic Differential Equation

8. Logistic Growth Model

9. Logistic Growth Model
Bears
Years

10. Logistic Growth Model Example:
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?

11. Ten grizzly bears were introduced to a national park 10 years ago
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?

12. At time zero, the population is 10.

13. After 10 years, the population is 23.

14. We can graph this equation and use “trace” to find the solutions.
Years
Bears
We 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

15. Logistic Growth diff eq  solution

16. If you are told Logistic Growth you can go directly from diff eq to
Carrying Capacity
Population
“Room to grow” constant
rate
time