A new modeling approach could allow researchers to use remote sensing lidar data to predict small mammal biodiversity based on the structure of vegetation in an area. The study was led by Sarah Schooler, now a Ph.D. candidate at State University of New York (SUNY)–Syracuse, and Harold Zald of the Humboldt State University Department of Forestry and Wildland Resources. Lidar Prediction of Small Mammal Diversity in Wisconsin, published in Remote Sensing, explores how measurements of vegetation structure created with lidar data could be used to predict the diversity of small mammal communities.
In the middle of the country, you'll find a land of windswept prairies, cattle ranches and enormous fields of wheat, corn, sorghum, hay and alfalfa. This is the Central Plains (Domain 10), where agriculture rules.
The terrestrial instrument system (TIS) team identified that the 2D anemometers on the NEON towers were producing 2D wind data that did not correlate with 2D wind data collected at NEON meteorological stations nearby. The TIS team is in the process of identifying site- and measurement-level--specific dates of incorrect anemometer orientation so that these data can be corrected.
In recent years, the persistence of gender disparities in STEM fields has become a concern for educators, research institutions and commercial firms. We asked Dr. Nancy Glenn about her experience as a woman in ecology and how the field can continue to encourage gender diversity.
West of the Mississippi and east of the Rockies lies a northern landscape dominated by wide-open spaces, prairie grasslands and an abundance of agriculture. Welcome to the Northern Plains Domain, NEON Domain 09.
Dr. Phoebe Zarnetske, an Assistant Professor in the Department of Integrative Biology at Michigan State University (MSU), is using data from the NEON sites to investigate patterns in biodiversity and species traits across the continent. Her goal is to better understand the drivers that influence species distributions and community assembly.
The Southern Rockies and Colorado Plateau field sites offer some of the most stunning views in the observatory. But these fragile alpine, subalpine and high desert ecosystems are also threatened by climate change, pollution and invasive species.
Paula Mabee, the Nolop Distinguished Professor in the Department of Biology at the University of South Dakota, has been selected as the Chief Scientist and Observatory Director of the National Ecological Observatory Network (NEON).
Kyla Dahlin and her team are using Airborne Remote Sensing data from five NEON sites to develop detailed 3D maps of forest structure. Their work, which was funded by the National Science Foundation (NSF), could provide new insights into the carbon storage potential of forests.
Land use changes and habitat loss have resulted in an overall loss of biodiversity across much of the country. Luis Carrasco, a post-doctoral fellow at NIMBioS, is leveraging NEON data to better understand the relationships between vegetation structure and density and bird biodiversity in forested ecosystems.
Microbial community composition data products for all data analyzed after Jan 1, 2016 had an issue with the sequence data processing pipeline. This issue is causing the resulting community composition data to consist of very few counts and lower than expected diversity. We are in the process of evaluating the extent of the issue.
To date, all NEON groundwater and surface water elevation data has had high uncertainty due to unstable survey reference points and delays in reporting field-based sensor position adjustments. In-the-field infrastructure upgrades will improve NEON water elevation data products at many aquatic sites.