This is a collection of five short videos - The Arctic Ice Cap, Sampling the Ice, Arctic Fisheries, Natives Feel Effect and Arctic Energy -- that can be played separately or in sequence. They show how climate change is affecting fishing, native populations and access for the oil and gas industry in the Arctic. The videos include personal reflections by writers Andrew C. Revkin and Simon Romero , scientists and residents about their experience of the impacts of the climate change in the Arctic.
In this video segment, two students discuss the greenhouse effect and visit with research scientists at Biosphere 2 in Arizona, who research the effects of global climate change on organisms in a controlled facility. Their current research (as of 2002) focuses on the response to increased quantities of CO2 in a number of different model ecosystems.
A simple three-part diagram from UNEP GRID Vital Water Graphics showing what the impact of global warming will be on projected coastlines and populated areas of Bangladesh with a 1 and 1.5 m sea level rise relative to the current coastline.
A computer animation on the reason for the seasons. Voice-over describes the motion of Earth around the sun to show how the sun's light impacts the tilted Earth at different times of the year, causing seasonal changes.
This activity leads students through a sequence of learning steps that highlight the embedded energy that is necessary to produce various types of food. Students start by thinking through the components of a basic meal and are later asked to review the necessary energy to produce different types of protein.
This video describes the role that dendrochronology plays in understanding climate change, especially changes to high elevation environments at an upper tree line. Dendrochronologists from the Big Sky Institute sample living and dead trees, describe how correlations between trees are made, and explain how tree cores record climate changes.
This lesson explores El Nino by looking at sea surface temperature, sea surface height, and wind vectors in order to seek out any correlations there may be among these three variables, using the My NASA Data Live Access Server. The lesson guides the students through data representing the strong El Nino from 1997 to 1998. In this way, students will model the methods of researchers who bring their expertise to study integrated science questions.