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2025

  • Yang, Dedi, et al. “ Fine-Scale Landscape Characteristics, Vegetation Composition, and Snowmelt Timing Control Phenological Heterogeneity across Low-Arctic Tundra Landscapes in Western Alaska”. Environmental Research Ecology, vol. 3, 2025, https://doi.org/10.1088/2752-664X/ad9eb8.
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  • Wang, Chen, et al. “Advancing the Understanding of Snow Accumulation, Melting, and Associated Thermal Insulation Using Spatially Dense Snow Depth and Temperature Time Series”. Geophysical Research Letters, vol. 52, 2025, https://doi.org/10.1029/2024GL114189.
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  • Bachand, Claire, et al. “Brief Communication: Monitoring Snow Depth Using Small, Cheap, and Easy-to-Deploy snow–ground Interface Temperature Sensors”. The Cryosphere, vol. 19, no. 19, 2025, https://doi.org/10.5194/tc-19-393-2025.
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  • Shirley, Ian A, et al. “Disentangling the Impacts of Microtopography and Shrub Distribution on Snow Depth in a Subarctic Watershed: Toward a Predictive Understanding of Snow Spatial Variability”. Journal of Geophysical Research: Biogeosciences , vol. 130, 2025, https://doi.org/10.1029/2024JG008604.
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  • Berns-Herrboldt, Erin C., et al. “Dynamic Soil Columns Simulate Arctic Redox Biogeochemistry and Carbon Release During Changes in Water Saturation”. Scientific Reports, vol. 15, 2025, https://doi.org/10.1038/s41598-024-83556-4.
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  • Torn, Margaret S., et al. “Large Emissions of CO2 and CH4 Due to Active-Layer Warming in Arctic Tundra”. Nature Communications, vol. 16, 2025, https://doi.org/10.1038/s41467-024-54990-9.
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  • Hantson, Wouter, et al. “Scaling Arctic Landscape and Permafrost Features Improves Active Layer Depth Modeling”. Environmental Research Ecology, vol. 4 , 2025, https://doi.org/10.1088/2752-664X/ad9f6c.
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  • Lathrop, Emma, et al. “Shrubs Strongly Influence Snow Properties in Two Subarctic Watersheds”. Permafrost and Periglacial Processes, 2025, https://doi.org/10.1002/ppp.2263.
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  • Gallois, Elise, et al. “Tundra Vegetation Community, Not Microclimate, Controls Asynchrony of above and Belowground Phenology”. Global Change Biology, vol. 31, no. 4, 2025, https://doi.org/10.1111/gcb.70153.
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2024

  • Eklof, Joel, et al. “Canopy Cover and Microtopography Control Precipitation-Enhanced Thaw of Ecosystem-Protected Permafrost”. Environmental Research Letters , vol. 19, 2024, https://doi.org/10.1088/1748-9326/ad31d7.
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2023

  • Yuan, Fengming, et al. “An Ultrahigh-Resolution E3SM Land Model Simulation Framework and Its First Application to the Seward Peninsula in Alaska”. Journal of Computational Science, vol. 73, 2023, https://doi.org/10.1016/j.jocs.2023.102145.
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  • Rowland, Joel. “Drainage Network Response to Arctic Warming”. Nature Communications, vol. 14, 2023, https://doi.org/10.1038/s41467-023-40796-8.
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  • Schore, Aiden I. G., et al. “Nitrogen Fixing Shrubs Advance the Pace of Tall-Shrub Expansion in Low-Arctic Tundra”. Communications Earth & Environment, vol. 4, 2023, https://doi.org/https://doi.org/10.1038/s43247-023-01098-5.
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  • Wielandt, Stijn, et al. “TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring”. Journal of Signal Processing Systems, 2023, https://doi.org/10.1007/s11265-023-01834-2.
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2022

  • Sulman, Benjamin N., et al. “Simulated Hydrological Dynamics and Coupled Iron Redox Cycling Impact Methane Production in an Arctic Soil”. Journal of Geophysical Research: Biogeosciences, vol. 127, no. 10, 2022, https://doi.org/10.1029/2021jg006662.
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2020

  • Abolt, Charles J., et al. “Feedbacks Between Surface Deformation and Permafrost Degradation in Ice Wedge Polygons, Arctic Coastal Plain, Alaska”. Journal of Geophysical Research: Earth Surface, vol. 125, no. 3, 2020, https://doi.org/10.1029/2019jf005349.
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2018

  • Langford, Zachary, et al. “Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets”. 2018 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2018, https://doi.org/10.1109/icdmw.2018.00116.
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