This interactive addresses the question if we can reduce CO2 emissions by 20% of 1990 levels and help avoid dangerous climate change? Users of this interactive can manipulate changes to various sources and uses (supply and demand) of energy with the goal of reducing C02 emissions in Great Britain by 80% in the year 2050.
This video introduces phytoplankton - the base of the marine food web, the source of half of the oxygen on Earth, and an important remover of CO2 from the atmosphere. The video also explains how satellites are used to monitor phytoplankton and how warming waters and acidification negatively affect phytoplankton.
This video features the Prairie Heating and CO2 Enrichment Experiment near Cheyenne WY, where scientists expose mixed-grass prairie to higher temperatures and CO2 concentrations to study impacts on the prairie for late in this century.
In this video, students explore the work of Jay Keasling, a synthetic biologist experimenting with ways to produce a cleaner-burning fuel from biological matter, using genetically modified microorganisms.
This classroom activity introduces equity issues surrounding climate change. Students research the assigned developed and developing nations, discuss climate change, and label the differences between energy usage and the effects of climate change on two world maps. In the end, the class negotiates an energy treaty.
In this lab activity, students use a chemical indicator (bromothymol blue) to detect the presence of carbon dioxide in animal and plant respiration and in the burning of fossil fuels and its absence in the products of plant photosynthesis. After completing the five parts of this activity, students compare the colors of the chemical indicator in each part and interpret the results in terms of the qualitative importance of carbon sinks and sources.
This multi-part activity introduces users to normal seasonal sea surface temperature (SST) variation as well as extreme variation, as in the case of El NiÃo and La NiÃa events, in the equatorial Pacific Ocean. Via a THREDDS server, users learn how to download seasonal SST data for the years 1982 to 1998. Using a geographic information system (GIS), they visualize and analyze that data, looking for the tell-tale SST signature of El Nino and La Nina events that occurred during that time period. At the end, students analyze a season of their own choosing to determine if an El NiÃo or La NiÃa SST pattern emerged in that year's data.