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
Open Science principles for accelerating trait-based science across the Tree of Life." Nature Ecology & Evolution 4, no. 3 (2020): 294-303.
"Extrapolating active layer thickness measurements across Arctic polygonal terrain using LiDAR and NDVI data sets." Water Resources Research 50, no. 8 (2014): 6339-6357.
"Numerical modeling of two-dimensional temperature field dynamics across non-deforming ice-wedge polygons." Cold Regions Science and Technology 161 (2019): 115-128.
"A global trait-based approach to estimate leaf nitrogen functional allocation from observations." Ecological Applications 27, no. 5 (2017): 1421-1434.
"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.
"Arctic soil patterns analogous to fluid instabilitiesSignificance." Proceedings of the National Academy of Sciences 118, no. 21 (2021).
"Microbes in thawing permafrost: the unknown variable in the climate change equation." The ISME Journal 6, no. 4 (2012): 709-712.
"Modeling climate change impacts on an Arctic Polygonal Tundra: 2. Changes in CO2 and CH4 exchange depend on rates of permafrost thaw as affected by changes in vegetation and drainage." Journal of GeophysicalResearch: Biogeosciences 124, no. 5 (2019): 1323-1341.
"Modeling climate change impacts on an Arctic Polygonal Tundra: 1. Rates of permafrost thaw depend on changes in vegetation and drainage." Journal of Geophysical Research: Biogeosciences 124, no. 5 (2019): 1308-1322.
"Mathematical modeling of Arctic polygonal tundra with Ecosys: 2. Microtopography determines how CO3 and CH4 exchange responds to changes in temperature and precipitation." Journal of Geophysical Research: Biogeosciences 122, no. 12 (2017): 3174-3187.
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