### Overview

In the previous topic, you looked at the **Exponential** model, which is the simplest model to describe population growth. While the **Exponential model** can describe some populations in ideal environments, it is generally too simple.

The **Logistic model** is one step in complexity above the **Exponential model**. It is more realistic and is the basis for most complex models in population ecology. Please note, however, that even the **Logistic model** simplifies the true complexities found in population biology.

Graphical representation of logistic growth, one of the simplest models used in the study of population growth

#### Learning Outcomes

- Learn the biology and math behind
**logistic population growth**. - Understand the concepts behind
**logistic growth model**when resources are limited. - Recognize the mathematical representation of density-dependence in the
**logistic equation**.

Your task is to familiarize yourself with the logistic population growth and the logistic equation.

You should go through this topic in a linear fashion and follow the prompts that are given to you. However, each section is accessible by coming back to this introductory page and clicking on the appropriate thumbnail.