Promoting respect and working with Arctic Indigenous communities
Since its inception, the NGEE Arctic project has worked hard to develop and promote a culture of safety, respect, and inclusion.

Since its inception, the NGEE Arctic project has worked hard to develop and promote a culture of safety, respect, and inclusion.
The Arctic is warming at a faster rate than any other biome on Earth, resulting in widespread changes in vegetation composition, structure, and function that have important feedbacks to the global climate system.
The Arctic tundra biome has become a hot spot of global environmental change because the vegetation and permafrost soils are strongly influenced by warming air temperatures and declining sea ice in the Arctic Ocean. In the late 1990s, global satellite observations revealed a sharp increase in the apparent productivity of tundra vegetation, a phenomenon that has come to be known as Arctic greening. Arctic greening is dynamically linked with Earth’s changing climate, interacting in complex ways with permafrost thaw, snow and sea ice change, and disturbances. However, the greening trend has not been universal, and some areas in the Arctic are even experiencing an opposite browning trend in response to disturbance and extreme weather events.
An analytical model predicts how ice-wedge polygon geometry influences the export of solute-rich waters from tundra soils to ponds and streams.
NGEE Arctic investigators and others provide “best practices” on data and metadata from field gas-exchange measurements.
New technology adds value to monitoring, observational, and experimental sites in remote areas.
Field observations of community composition improve how plant functional types (PFT) are represented in E3SM simulations.
Model-data integration with international partner highlights how thawing permafrost can impact conditions of water discharged to near-by streams.
Using a mechanistic ecosystem model, ecosys, to demonstrate that static temperature relations cannot accurately predict wetland CH4 production and emission rates due to substrate-mediated microbial and abiotic interactions.
Biochemical composition is proposed to improve process-based models of SOM degradation and climate feedbacks
Modeling approach improving representations of permafrost dynamics in evolving landscapes.