This short video discusses greenhouse gas emissions related to common foods in the human diet, explaining why some foods have a greater climate impact than others.
It explains how land use changes, enteric fermentation, farming processes, and distribution can all lead to greenhouse gas emissions.
The video leads the viewer to consider how changing their food choices could help reduce emissions.
This video uses a simple bar graph to help students visually compare the emissions associated with different foods.
This video is a great way to introduce how consumer choice can influence climate change.
Students should be able to read bar graphs.
Students should already be familiar with the greenhouse effect, types of greenhouse gases, their differing capacity to trap heat, and sources of these emissions.
Teachers can pause the video to check that students understand how each bar of the graph is broken up into different parts (land use changes, farming process, distribution, and animal feed). Classes can discuss ways that food products differ in their proportion of each of the categories.
Teachers may need to pause the video to further clarify the concept of enteric fermentation.
Students can create a visual representation of the explanation for why beef is one of the worst foods for greenhouse gas emissions.
It is an objective fact that the production of beef is harmful to the climate. This Vox video explores how this is true and why there is such a disparity between carbon emissions for beef production and other forms of food. This resource is recommended for teaching.
ESS3: Earth and Human Activity
6.ESS3.3 Apply scientific principles to design a method for monitoring and minimizing a human impact on the environment.
6.ESS3.5 Ask clarifying questions based on evidence about the factors that have caused climate change over the past century.
8.ESS3.4 Construct an argument supported by evidence for how increases in human population and per-capita consumption of natural resources impact Earth’s systems.
HS.ESS3.3 Create a computational simulation to illustrate the relationships among the management of natural resources, the sustainability of human populations, and biodiversity.