Advancing the predictive power of Earth system models through understanding
of the structure and function of Arctic terrestrial ecosystems
Progress & Accomplishments
Plant Traits Across an Arctic Landscape: Above versus Belowground
NGEE Arctic researchers are quantifying above and belowground variation in plant functional traits across environmental gradients to inform the representation of plant traits in terrestrial biosphere models.
Evapotranspiration across Plant Types and Geomorphological Units in Polygonal Arctic Tundra
A field research showed that evapotranspiration from mosses and open water was twice as high as that from lichens and bare ground, and that microtopographic variations in polygonal tundra explained most of this and other spatial variation
Reduced Arctic Tundra Productivity Linked with Landform and Climate Change Interactions
Scientists working on the NGEE Arctic project provide evidence linking decadal patterns in arctic greening and browning with regional climate change and local permafrost-driven landscape heterogeneity, using newly developed decade time-scale remote
California’s Governor Jerry Brown Learns About Climate Change Science in Nome
NGEE Arctic scientists from the University of Alaska Fairbanks and Lawrence Berkeley National Lab gave an overland tour of the Seward Peninsula to California’s Governor Jerry Brown to share hands-on climate change research in the Arctic.
PEcAn integration of dvm-dos-tem for uncertainty quantification and variance decomposition
We successfully integrated the Dynamic Vegetation, Dynamic Organic Soil, Terrestrial Ecosystem Model (DVM-DOS-TEM, University of Alaska Fairbanks) into the PEcAn framework to enable formal model uncertainty quantification (UQ), parameterization, and data-
Multi-sensor visible, spectral, and thermal Unmanned Aerial System (UAS) flights in Nome
We conducted our first NGEE-Arctic deployment of the multi-instrument Osprey heavy-lift octocopter at the three Seward Peninsula sites where we collected high-resolution visible imagery for structure from motion (SfM) 3-D plant and terrain surface heights