Students work to describe the different abiotic cycles (water, carbon, and nitrogen) through a variety of activities from which they get to choose.

 NASA eClips Real World:  The Carbon Cycle - Essential for Life on EarthVideo Description:  Carbon is an essential building block for life. Learning how carbon is converted through slow- and fast-moving cycles helps us understand how this life-sustaining element moves through the environment. Discover how NASA measures carbon through both field work and satellite imagery keeping watch through its eyes on the sky, on Earth, and in space.  This video won and Emmy Award in 2020.  Video Length:  5:43.NASA eClipsTM is a suite of online student-centered, standards-based resources that support instruction by increasing STEM literacy in formal and nonformal settings.  These free digital and downloadable resources inform and engage students through NASA-inspired, real-world connections.NASA eClips Real World segments (grades 6-8) connect classroom mathematics to 21st Century careers and innovations.  They are designed for students to develop an appreciation for mathematics through real-world problem solving.  

This video explores the decline of southeastern U.S. grasslands over 300-400 years, focusing on the role of Native Americans and natural fires in maintaining these ecosystems. European settlers and agricultural practices disrupted this balance, converting grasslands into forests and farmlands. The result was a significant loss of these vital ecosystems, profoundly altering the landscape

Lesson Length: 1-2 hoursGrade Level: 6-8Students will explore the carbon emission impacts of different lifestyle choices. The activity is grounded in engineering design thinking as it relates to a family's carbon footprint and options to shift that footprint to make change (trade offs). Students will understand carbon impacts, work in teams (families) to negotiate lifestyle adjustments, and brainstorm opportunities for engineered improvements to decrease carbon emissions.This material is based upon work supported by the National Science Foundation under Grant No. 1657263. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.