Researchers found increased concentrations of air pollutants downwind from oil and gas wells in California, likely affecting millions of Californians who live near them.
A bill under debate in Congress would pave the way to verifying and paying for farms’ carbon savings. Stanford scientists explore this and other opportunities for growing climate change solutions on U.S. farms.
Air pollution is known to harm children’s respiratory health, but its specific impacts on infection rates have remained unclear. A new analysis provides evidence of a link between the two in low-income settings, and indicates one industry may play an outsized role in the problem.
A sweeping analysis of marine fossils from most of the past half-billion years shows the usual rules of body size evolution change during mass extinctions and their recoveries. The discovery is an early step toward predicting how evolution will play out on the other side of the current extinction crisis.
A new Stanford University study shows rising oxygen levels may explain why global extinction rates slowed down over the past 541 million years. Below 40 percent of present atmospheric oxygen, ocean dead zones rapidly expand, and extinctions ramp up.
California should use its $260 billion annual spending and $1 trillion pension funds to advance its climate agenda through climate risk disclosure requirements, according to a Stanford-led group of advisors appointed by Gov. Newsom. Two advisors explain how more disclosure can do that.
Analyses lay out a blueprint for speeding development of atmospheric removal and modeling how the approach could improve human health and have an outsized effect on reducing future peak temperatures.
Key ideas and proposals from an agreement between the hydropower industry and environmental community, facilitated through a Stanford Woods Institute for the Environment Uncommon Dialogue, have been included in the $1 trillion infrastructure package adopted by the U.S. Senate.
Smoke from wildfires may have contributed to thousands of additional premature births in California between 2007 and 2012. The findings underscore the value of reducing the risk of big, extreme wildfires and suggest pregnant people should avoid very smoky air.
A new machine learning approach helps scientists understand why extreme precipitation days in the Midwest are becoming more frequent. It could also help scientists better predict how these and other extreme weather events will change in the future.
