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
] "Permafrost carbon-climate feedbacks accelerate global warming." Proceedings of the National Academy of Sciences 108, no. 36 (2011): 14769-14774.
"Hybrid energy module for remote environmental observations, experiments, and communications." Advances in Polar Science 31, no. 3 (2020): 156-166.
"Shallow soils are warmer under trees and tall shrubs across Arctic and Boreal ecosystems." Environmental Research Letters 16, no. 1 (2021): 015001.
"Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape." The Cryosphere 10, no. 5 (2016): 2241-2274.
"Acclimation and adaptation components of the temperature dependence of plant photosynthesis at the global scale." New Phytologist 222, no. 2 (2019): 768-784.
"No evidence for triose phosphate limitation of light‐saturated leaf photosynthesis under current atmospheric CO2 concentration." Plant, Cell & Environment 42, no. 12 (2019): 3241-3252.
"Evaluation of an untargeted nano-liquid chromatography-mass spectrometry approach to expand coverage of low molecular weight dissolved organic matter in Arctic soil." Scientific Reports 9, no. 1 (2019).
"Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks." Remote Sensing 11, no. 1 (2019): 69.
"Mapping Arctic plant functional type distributions in the Barrow Environmental Observatory using WorldView-2 and LiDAR datasets." Remote Sensing 8, no. 9 (2016): 733.
"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.