Greenhouse gas flux responses to wetland drying and vegetation succession in the Kenai Lowlands, southcentral Alaska
Thank you for attending the 2021 AmeriFlux Annual Meeting! All of you made possible a wonderful 3 day conference, in which we enjoyed catching up with colleagues, meeting new ones,… More
Natural climate solutions (NCS) refer to a variety of land conservation and restoration actions that increase carbon storage (or reduce greenhouse gas emissions) in forests and agricultural operations (Fargione et… More
On June 10 and 11, almost 300 scientists participated in the Land-Atmosphere Interactions 2021 Workshop, “Improving understanding of land-atmosphere interactions through integration of surface flux and atmospheric boundary layer measurements.”… More
The AmeriFlux Theme Year of Water Fluxes was officially launched on March 21, 2021 and has inspired a flood of community activities. Read on to find out what’s going on… More
Please save the date for this year’s AmeriFlux Annual Meeting: Sept 20-22 2021. Once again, we will host the meeting fully online. Given the turmoil of the past year, we… More
BADM opus Hear ye, hear ye, scholars of flux a new, improved tool – entering BADM deluxe! Now, I hear you sigh “BADM? Oh no!” But let me convince you… More
It’s not often that you get to see a total solar eclipse from your own back yard. It’s even rarer when your eddy covariance flux site, 300 miles away, is also in the path of totality. That’s just the situation we found ourselves in. On August 21, 2017, a total solar eclipse crossed our research site in the Nebraska SandHills (US-SdH). Being a long-time amateur astronomer, it presented an opportunity that we just couldn’t miss.
I thought you’d find the following reads intriguing. Both are lead-authored by Matt Roby, a Ph.D. student, at the University of Arizona’s School of Natural Resources and Environment. Matt’s been… More
The following is a description of the workflow that we use at the ChEAS (Chequamegon Ecosystem-Atmosphere Study) core-site cluster based at the University of Wisconsin to create real-time plots of our data. It allows us to look for inconsistencies and changes in data over time.