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# Models for Population Growth

Models for Population Growth
• Calculus • Decision Maths • Geometry • Mechanics Maths • Probability and Statistics • Pure Maths • Statistics Suppose you're planting a garden filled with fruits, vegetables, and flowers. However, you notice holes and leaf bite marks on your plants. Clearly, you have a pest infestation. The obvious answer to ridding your garden of pests is using pesticides. However, you recognize the dangers to the environment and humans associated with pesticides. You know you must limit your use of harmful pesticides as much as possible. You might consider using a population model to establish a pest threshold. If the pest population increases above your threshold, you'll know to take action with pesticides. Predicting when the pest population will rise above your threshold would help you proactively minimize the damage to your garden by pests.

In general, population ecologists and experts use population change models to describe population and predict how it will change.

In AP Calculus, you will primarily work with two population change modes: exponential and logistic.

## Models for Population Growth in Calculus

In AP Calculus, you will primarily work with two population change models: exponential and logistic.

The major differences between the two models include:

• Exponential growth is J-shaped while logistic growth is sigmoid (S-shaped)

• Exponential growth depends exclusively on the size of the population, while logistic growth depends on the size of the population, competition, and the number of resources

• Exponential growth is applicable to a population that does not have any limitations for growth, while logistic growth is more applicable in the sense that it applies to any population with a carrying capacity

## The Exponential Model for Population Growth

Exponential growth describes a particular pattern of data that increases more and more over time. The graph of the data mirrors an exponential function and creates a J-shape. The exponential growth of time vs. size of the population is a J-shaped function - StudySmarter Originals

With regards to population change, exponential growth occurs when an infinite amount of resources are available to the population. Consider our garden example. The population of pests will grow exponentially if there are no limits to how much food the pests can eat from your infinitely huge garden.

The human population currently grows at an exponential rate. However, Earth does not have an infinite amount of resources. Scientists hypothesize that we will eventually reach a "carrying capacity," which we will discuss more in the next section.

The formula for exponential growth is where is a constant determined by the initial population, is the constant of growth and is greater than 0, and is time.

For more details on exponential growth, see our article on Exponential Growth and Decay

## The Logistic Model for Population Growth

Logistic growth describes a pattern of data whose growth rate gets smaller and smaller as the population approaches a certain maximum - often referred to as the carrying capacity. The graph of logistic growth is a sigmoid curve. Logistic growth of time vs. size of the population is a sigmoid (S-shaped) function - StudySmarter Originals

With regards to population change, logistic growth occurs when there are limited resources available or when there is competition among animals. The population of pests will grow until we introduce pesticides. The carrying capacity allows our garden to thrive by ensuring that the pest population doesn't grow too large while limiting our use of toxic pesticides.

The formula for logistic growth is where is the carrying capacity, is a constant determined by the initial population, is the constant of growth, and is time. All values are positive.

For details on Logistic population growth, see our article on The Logistic Differential Equation

## Models for Population Growth Formulas

### Exponential growth

The rate of change of an exponential growth function can be modeled by the differential equation ### Logistic growth and decay

The rate of change of a logistic growth function can be modeled by the differential equation ## Examples of population growth model

### Example 1

The rate of change of a culture of bacteria is proportional to the population itself. When , there are 100 bacteria. Two minutes later, at , there are 300 bacteria. How many bacteria are there at 4 minutes?

#### Step 1: Decide which model the population growth follows

We are not told of any possible carrying capacity limits in this problem, and the growth rate is proportional to the population of bacteria, so it is safe to assume that these bacteria will follow an exponential growth model.

#### Step 2: Use the initial condition to find C

Since the population models an exponential growth rate, we know that the population can be modeled by To find , we can plug in our initial condition (0, 100). #### Step 3: Use the second condition to find the growth rate k

To find , we can plug in the second condition (2, 300). #### Step 4: Plug in t = 4 to find the population Therefore, at 4 minutes, the bacteria population is 900.

### Example 2

A population of rabbits has a rate of change of where t is a measure in years.

1. What is the size of the population of rabbits at four years?
2. How many rabbits will there be at 10 years?
3. When will the rabbit population reach 400?

#### Step 1: Extract variables from differential form

From the definition of the differential form of the logistic growth model, we know that , , and at , .

#### Step 2: Plug in variables to the logistic growth equation #### Step 3: Solve for C with the initial value We can use cross multiplication to solve for . #### Step 4: Plug in t = 4 and t = 10

Plugging in and to  Now we can plug in and .  After four years, the rabbit population will be about 117. After 10 years, the rabbit population will be about 146.

#### Step 5: Let N = 400 and solve for t So, it would take the rabbit population about 55.5 years to reach a population of 400.

## Models for Population Growth - Key takeaways

• Population growth can take on two models: exponential or logistic
• Exponential population growth occurs when there are unlimited resources - the rate of change of the population is strictly based on the size of the population
• Logistic population growth occurs when there are limited resources available and competition to access the resources - the rate of change of the population is based on the size of the population, competition, and the number of resources

Population growth can be modeled by either a exponential growth equation or a logistic growth equation.

A population's growth model depends on the environment that the population grows in.

A population growth model is made by deciding if the population has an exponential growth rate or a logistic growth rate based on the nature of the environment the population grows in. From there, the model is made by plugging in known values to solve for unknowns.

The two major types of population models are exponential and logistic.

An example of a population growth model is bacteria growing in a petri dish.

## Final Models for Population Growth Quiz

Question

What is exponential growth?

Exponential growth describes a certain pattern of data that increases more and more with the passing of time

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Question

What is the shape of the exponential growth graph?

The graph of the data mirrors an exponential function and creates a J-shape

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Question

What is logistic growth?

Logistic growth describes a certain pattern of data whose growth rate gets smaller and smaller as the population approaches a certain maximum often referred to as the carrying capacity

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Question

What is the shape of a logistic growth graph?

The graph of logistic growth is a sigmoid curve

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Question

Exponential growth depends on _______ while logistic growth depends on __________.

the population itself

size of the population and its limiting factors

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Question

Exponential growth occurs when resources are ___________.

unlimited

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Question

Logistic growth occurs when resources are _________.

limited

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Question

Which of the two population growth models is thought to be more applicable?

Logistic growth is usually more applicable as it models limited resources, competition among organisms, and the size of the population.

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Question

Which population model accurately describes the growth of the human population?

Currently, the human population grows at an exponential rate. However, we will likely reach a carrying capacity at some point as our resources are not unlimited.

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Question

Think of a real life example of logistic population growth.

A population of rabbits, that are hunted by wolves and other bigger carnivores, grow at a logistic rate.

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