The Dartmouth Engineer Magazine profile Eric Wagner, the PhD candidate who is a member of the team going to Greenland. PolarTREC teacher Steve Kirsche is also mentioned in the article.
Data collected from experimental manipulations of ecological processes can help us understand the natural world, and perhaps even help scientists predict how complex systems may change. At CiPEHR, (Carbon in Permafrost Heating Experimental Research) located near Denali National Park, scientists have collected and analyzed seven years of data to learn how increases in soil temperatures influence the carbon
This lesson allows students to learn about the Arctic through a challenging question and answer game format. Inspired by experiences in the Hidden Ocean 2016: Chukchi Borderlands expedition, the game includes “careers”, “animals”, “equipment”, “climate change”, and “geography” components. The game may be used as a learning tool, a review tool, or an assessment tool.
Attached is a resource for lessons and simulations that involve studying the Greenhouse Effect and how it affects temperature readings on our planet. The simulations created by PHET are incredible. https://phet.colorado.edu/ Aside from the Greenhouse Effect simulation in this lesson, this site has a large variety of resources for any grade levels to be used as lessons, labs
This lesson incorporates techniques and experimental designs used by researchers during the Southern Ocean Diatoms PolarTREC expedition and during post-expedition laboratory analysis. This guided inquiry lesson provides students the opportunity to explore photosynthesis and primary productivity using techniques to measure chlorophyll levels.
Objectives
SWBAT:
1. Use models to predict chlorophyll levels in the global oceans
2. Identify
In a “March Madness” game of survival of the fittest, will your microbe and its genes survive the test of changing conditions on Planet Earth and beyond? Students choose genes from a “toolbox” and pit their microbe against their classmates’, using critical thinking and argument writing to determine the microbe with the best chance of success. Based on PolarTREC