Resources and data offered by the National Ecological Observatory Network are supporting researchers investigating critical ecosystem changes across the country.
Monitoring networks
Measuring Ambient Ocean Sound During the COVID-19 Pandemic
An expanded nonmilitary hydrophone network provides new opportunities to understand the variability and trends of ocean sound and the effects of sound on marine organisms.
Measuring, Monitoring, and Modeling Ecosystem Cycling
Scientists leverage long-term environmental measurements, emerging satellite observations, and recent modeling advances to examine changes in ecosystem carbon and water cycling.
Eyes in the Sky Improve Pollen Tracking
Physicians, public health officials, and experts in remote sensing and ecology recently met to identify ways that satellites, webcams, and crowdsourced science could help them manage asthma and allergies.
Fieldwork in the Experimental Lakes Area Adapts to COVID-19
Though anticipating long days and hard work as a few key crew members do the job of many, researchers heading to the lakes this summer are excited to leave the house.
Reforestation as a Local Cooling Mechanism
Reforestation has been shown to cool surface temperatures, and a novel study suggests it may also reduce air temperature up to several stories above the ground.
Implications of a Supervolcano’s Seismicity
Last year’s rumblings beneath New Zealand’s Taupō supervolcano, the site of Earth’s most recent supereruption, lend new urgency to research and outreach efforts in the region.
Is the Northern Permafrost Zone a Source or a Sink for Carbon?
Thawing permafrost could release large amounts of carbon into the atmosphere, but finding out how much requires better collection and curation of data.
Bringing Climate Projections Down to Size for Water Managers
Hydrologists are creating watershed-scale projections for water resources managers and tools that managers can use to plan for the effects of climate change.
Treating Colloids as Clusters Better Predicts Their Behavior
New research suggests that an accurate prediction of colloidal particle mobilization in the environment should account for the effect of clustering.
