Case studies exemplify the impact that NEON can make on ecological research. Explore these stories that describe how our user community have made new, exciting discoveries about how our natural systems function.
Do you have a recent paper that uses NEON data, samples, or other resources? Let NEON know - we will promote it!
A study led by Lawrence Berkley National Laboratory (LBNL) has used the NEON assignable assets program to gather airborne remote sensing data near Crested Butte, Colorado. They will use the data to study plant community distributions and canopy biochemistry to shed light on watershed systems.
The NEON project is producing a vast treasure trove of open access airborne remote sensing data. Can computer algorithms help ecologists make sense of it all? A team of ecologists and data scientists at the University of Florida thought so. To accelerate the process, they initiated a data science challenge.
Tree die-offs have a tremendous impact on local ecosystems. But could the consequences extend beyond the surrounding area? New research suggests the answer is yes.
What can the size of a deer mouse tell you about the number of species present in its environment? A lot, as it turns out. A team of ecologists turned to data from the NEON project to look for clues.
The Smithsonian Environmental Research Center (SERC) has been collecting ecological data on coastal ecosystems in the Chesapeake Bay area for more than 50 years. Hosting a NEON field site gives SERC scientists access to new local data as well as important comparative data from across the country to further their research goals.
In a collaboration with the PhenoCam Network, NEON now streams phenocam image data to the Phenocam Gallery - including tower top images and ground level images.
Kansas State University scientists and collaborators have developed a new method for studying a variety of streams — including tropical, prairie or forested streams — across continents. Walter Dodds has led the researchers in creating the Stream Biome Gradient Concept, which is a way to compare streams in different climates and different continents. The concept can improve how researchers study streams worldwide.
Understanding and predicting the effects of global change on ecosystems is a compelling frontier in ecological research, write the authors of a synthesis paper in the March 2014 issue of Ecosphere .
