NGEE Arctic
Next-Generation Ecosystem Experiments
Advancing the predictive power of Earth system models through understanding
of the structure and function of Arctic terrestrial ecosystems
Publications
Assessing impacts of plant stoichiometric traits on terrestrial ecosystem carbon accumulation using the E3SM land model." Journal of Advances in Modeling Earth Systems (2020).
"Alder distribution and expansion across a tundra hillslope: Implications for local N cycling." Frontiers in Plant Science 10 (2019).
"Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks." Remote Sensing 11, no. 1 (2019): 69.
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The Alaska Arctic vegetation archive (AVA-AK)." Phytocoenologia 46, no. 2 (2016): 221-229.
"Mapping Arctic plant functional type distributions in the Barrow Environmental Observatory using WorldView-2 and LiDAR datasets." Remote Sensing 8, no. 9 (2016): 733.
"Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape." The Cryosphere 10, no. 5 (2016): 2241-2274.
"Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils." Nature Climate Change 6, no. 10 (2016): 950-953.
"Root traits explain observed tundra vegetation nitrogen uptake patterns: Implications for trait-based land models." Journal of Geophysical Research: Biogeosciences 121, no. 12 (2016): 3101-3112.
"Root traits explain observed tundra vegetation nitrogen uptake patterns: Implications for trait‐based land models." Journal of Geophysical Research: Biogeosciences 121, no. 12 (2016): 3101-3112.
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