Publications

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.

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.

Kim, Kwansoo, et al. “Determination of Ground Subsidence Around Snow Fences in the Arctic Region”. Lithosphere, vol. 2025, 2025, https://doi.org/10.2113/2025/lithosphere_2024_215.

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.

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.

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.

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.

Freitas, Nancy L., et al. “Substantial and Overlooked Greenhouse Gas Emissions from Deep Arctic Lake Sediment”. Nature Geoscience, vol. 18, 2025, https://doi.org/10.1038/s41561-024-01614-y.

Briones, Valeria, et al. “A Model Parameter Sensitivity Approach to Understand Soil Thermal and Hydrological Linkages and Their Influence on Ecosystem Carbon Dynamics”. Environmental Research Letters , vol. 19, 2024, https://doi.org/10.1088/1748-9326/ad50ed .

Wilcox, Evan J., et al. “Bridging Gaps in Permafrost-Shrub Understanding”. PLOS Climate, vol. 3, 2024, https://doi.org/10.1371/journal.pclm.0000360.

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.

Tao, Jing, et al. “Evaluating the Impact of Peat Soils and Snow Schemes on Simulated Active Layer Thickness at Pan-Arctic Permafrost Sites”. Environmental Research Letters, vol. 19, 2024, https://doi.org/10.1088/1748-9326/ad38ce.

Li, Y, et al. “Genomic Insights into Redox-Driven Microbial Processes for Carbon Decomposition in Thawing Arctic Soils and Permafrost”. MSphere, vol. 9, 2024, https://doi.org/10.1128/msphere.00259-24.

Del Vecchio, Joanmarie, et al. “Hillslope-Channel Transitions and the Role of Water Tracks in a Changing Permafrost Landscape”. Journal of Geophysical Research – Earth Surface, vol. 128, 2024, https://doi.org/10.1029/2023JF007156.

Huang, Xiang, et al. “How Does Humidity Data Impact the Land Surface Modeling of Hydrothermal Regimes at a Permafrost Site in Utqiaġvik, Alaska?”. Science of The Total Environment, vol. 912, 2024, https://doi.org/10.1016/j.scitotenv.2023.168697.

Fiolleau, Sylvain, et al. “Insights on Seasonal Solifluction Processes in Warm Permafrost Arctic Landscape Using a Dense Monitoring Approach across Adjacent Hillslopes”. Environmental Research Letters, vol. 19, 2024, https://doi.org/10.1088/1748-9326/ad28dc.

Huo, X, et al. “Integrating State Data Assimilation and Innovative Model Parameterization Reduces Simulated Carbon Uptake in the Arctic and Boreal Region”. Journal of Geophysical Research: Biogeosciences , vol. 129, 2024, https://doi.org/10.1029/2024JG008004 .

Liu, Yanlan, et al. “Large Divergence of Projected High Latitude Vegetation Composition and Productivity Due To Functional Trait Uncertainty”. Earth’s Future , vol. 12, 2024, https://doi.org/10.1029/2024EF004563.

Wang, Chen, et al. “Local-Scale Heterogeneity of Soil Thermal Dynamics and Controlling Factors in a Discontinuous Permafrost Region”. Environmental Research Letters, vol. 19, 2024, https://doi.org/10.1088/1748-9326/ad27bb .

Crumley, Ryan, et al. “Snow Distribution Patterns Revisited: A Physics-Based and Machine Learning Hybrid Approach to Snow Distribution Mapping in the Sub-Arctic”. Water Resources Research, vol. 60, 2024, https://doi.org/10.1029/2023WR036180.