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
Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils." Nature Climate Change 6, no. 10 (2016): 950-953.
"Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils." Nature Climate Change 6, no. 10 (2016): 950-953.
"Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils." Nature Climate Change 6, no. 10 (2016): 950-953.
"Representing leaf and root physiological traits in CLM improves global carbon and nitrogen cycling predictions." Journal of Advances in Modeling Earth Systems 8, no. 2 (2016): 598-613.
"Variability in the sensitivity among model simulations of permafrost and carbon dynamics in the permafrost region between 1960 and 2009." Global Biogeochemical Cycles 30, no. 7 (2016): 1015-1037.
"Convolutional neural network approach for mapping Arctic vegetation using multi-sensor remote sensing fusion." 2017 IEEE International Conference on Data Mining Workshops (ICDMW) (2017): 770-778.
"Deep Yedoma permafrost: A synthesis of depositional characteristics and carbon vulnerability." Earth-Science Reviews 172 (2017): 75-86.
"Electrical and seismic response of saline permafrost soil during freeze - Thaw transition." Journal of Applied Geophysics 146 (2017): 16-26.
"A global trait-based approach to estimate leaf nitrogen functional allocation from observations." Ecological Applications 27, no. 5 (2017): 1421-1434.
"A global trait-based approach to estimate leaf nitrogen functional allocation from observations." Ecological Applications 27, no. 5 (2017): 1421-1434.
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