
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
Changes in precipitation and air temperature contribute comparably to permafrost degradation in a warmer climate." Environmental Research Letters 16, no. 2 (2021): 024008.
"Building a Culture of Safety and Trust in Team Science." Eos 101 (2020).
"Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models." The Cryosphere 13, no. 1 (2019): 237-245.
"Biogeochemical model of CO2 and CH4 production in anoxic Arctic soil microcosms." Biogeosciences Discussions (2016): 1-31.
"Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration." Global Change Biology 27, no. 1 (2021): 13-26.
"A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regressionAbstract." Journal of Experimental Botany 72, no. 18 (2021): 6175-6189.
"An assessment of the carbon balance of Arctic tundra: comparisons among observations, process models, and atmospheric inversions." Biogeosciences 9, no. 8 (2012): 3185-3204.
"Assessing impacts of plant stoichiometric traits on terrestrial ecosystem carbon accumulation using the E3SM land model." Journal of Advances in Modeling Earth Systems (2020).
"Assessing dynamic vegetation model parameter uncertainty across Alaskan arctic tundra plant communities." Ecological Applications (2021).
"Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks." Remote Sensing 11, no. 1 (2019): 69.
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