Next-Generation Ecosystem Experiments
Advancing the predictive power of Earth system models through understanding
of the structure and function of Arctic terrestrial ecosystems
Deep Yedoma permafrost: A synthesis of depositional characteristics and carbon vulnerability." Earth-Science Reviews 172 (2017): 75-86."
Co‐producing knowledge: the Integrated Ecosystem Model for resource management in Arctic Alaska." Frontiers in Ecology and the Environment 18, no. 1 (2020): 447-455."
Coupling surface flow and subsurface flow in complex soil structures using mimetic finite differences." Advances in Water Resources 144 (2020): 103701."
Coupled land surface-subsurface hydrogeophysical inverse modeling to estimate soil organic content and explore associated hydrological and thermal dynamics in an Arctic tundra." The Cryosphere Discussions (2017): 1-42."
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."
Controls on fine-scale spatial and temporal variability of plant-available inorganic nitrogen in a polygonal tundra landscape." Ecosystems (2018)."
Continuously amplified warming in the Alaskan Arctic: Implications for estimating global warming hiatus." Geophysical Research Letters 44, no. 17 (2017): 9029-9038."
Constitutive model for unfrozen water content in subfreezing unsaturated soils." Vadose Zone Journal 13, no. 4 (2014)."
Consequences of permafrost degradation for Arctic infrastructure – bridging the model gap between regional and engineering scales." The Cryosphere 15, no. 5 (2021): 2451-2471."
Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada." Environmental Research Letters 11, no. 10 (2016)."