New research reveals wastewater injected underground by fossil fuel operators caused a magnitude 5.6 earthquake in November 2022 in the Peace River area of Alberta’s oil sands region. This is the first study to link seismicity in the area to human activity.
The researchers created maps showing where warmer weather has left trees in conditions that don’t suit them, making them more prone to being replaced by other species. The findings could help inform long-term wildfire and ecosystem management in these “zombie forests.”
New analysis shows the U.S. has accounted for more wetland conversion and degradation than any other country. Its findings help better explain the causes and impacts of such losses and inform protection and restoration of wetlands.
Plant-based and lab-grown meat substitutes are here to stay, but are unlikely to eliminate livestock agriculture’s climate and land use impacts anytime soon, according to Stanford environmental scientist David Lobell.
As a young adult, Ayla Pamukçu found herself at a crossroads between college and culinary school. Thanks in part to an influential box of rocks, she chose a research path that eventually led to a career studying the inner workings of the Earth.
American beaver populations are booming in the western United States as conditions grow hotter and drier. New research shows their prolific dam building benefits river water quality so much, it outweighs the damaging influence of climate-driven droughts.
Federal subsidies promote planting cover crops to store carbon in agricultural soils, among other benefits, but the approach as currently practiced can reduce yields in the U.S. Corn Belt, researchers find. Their analysis highlights the need to better implement the practice.
Pollution from wildfires is linked to lower test scores and possibly lower future earnings for kids growing up with more smoke days at school, a new study finds. Impacts of smoke exposure on earnings are disproportionately borne by economically disadvantaged communities of color.
Stanford researchers have developed an AI model for predicting dangerous particle pollution to help track the American West’s rapidly worsening wildfire smoke. The detailed results show millions of Americans are routinely exposed to pollution at levels rarely seen just a decade ago.
