Understanding and Predicting Changes in Population Size – Exponential and Logistic Population Growth

Understanding and Predicting Changes in Population Size – Exponential and Logistic Population Growth Models vs. Complex Reality. In this analysis and discussion activity, students develop their understanding of the exponential and logistic population growth models by analyzing food poisoning and the recovery of endangered species. Students interpret data from several investigations, learn about the underlying biological processes, and apply their understanding to policy questions. Then, students analyze examples where the trends in population size do not match the predictions of the exponential or logistic population growth models. They learn that models are based on simplifying assumptions and a model’s predictions are only accurate when the simplifying assumptions are true for the population studied. In the final section, students analyze trends in human population size and some factors that have affected and will affect these trends. One version of the Student Handout also includes mathematical equations. This activity is designed to help students meet the Next Generation Science Standards and the Common Core State Standards. The first two attached files have the version of the Student Handout that includes mathematical equations for the exponential and logistic models of population growth. The third and fourth attached files have the version of the Student Handout without mathematical equations. The fifth and sixth attached files have the Teacher Notes for this activity.