Publications

Zhang, Tianqi, et al. “Mapping Wall-to-Wall Fractional Cover of Arctic Tundra Plant Functional Types in Alaska Using 20-M Spatial Resolution Satellite Imagery and Harmonized Plot Observations”. International Journal of Applied Earth Observation and Geoinformation, vol. 144, 2025, https://doi.org/10.1016/j.jag.2025.104892.

Hamm, Alexandra, et al. “Model-Based Analysis of Solute Transport and Potential Carbon Mineralization in a Permafrost Catchment under Seasonal Variability and Climate Change”. EGUsphere, 2025, https://doi.org/10.5194/egusphere-2024-1606.

Orndahl, Kathleen M., et al. “Next Generation Arctic Vegetation Maps: Aboveground Plant Biomass and Woody Dominance Mapped at 30 M Resolution across the Tundra Biome”. Remote Sensing of Environment, vol. 323, 2025, https://doi.org/10.1016/j.rse.2025.114717.

Steckler, Morgan R., et al. “PAVC: The Foundation for a Pan-Arctic Vegetation Cover Database”. Scientific Data, vol. 12, 2025, https://doi.org/10.1038/s41597-025-05326-9.

Tao, Jing, et al. “Permafrost Vulnerability to Climate Change: Understanding Thaw Dynamics and Climate Feedback of Permafrost Degradation”. Environmental Research Letters , vol. 20, 2025, https://doi.org/10.1088/1748-9326/adfc7e.

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.

Yazbeck, Theresia, et al. “Shrub Expansion Can Counteract Carbon Losses From Warming Tundra”. Journal of Geophysical Research: Biogeosciences , vol. 130, 2025, https://doi.org/10.1029/2024JG008721.

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.

Thoman, Richard L. “The Arctic”. Bulletin of the American Meteorological Society, vol. 106, 2025, https://doi.org/10.1175/BAMS-D-25-0104.1.

Gu, Lianhong, and Bo Gao. “The Ecological Impacts of Dry and Hot Shocks in the Land of Midnight Sun”. Global Change Biology, vol. 31, 2025, https://doi.org/10.1111/gcb.70391.

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.

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.

Boike, Julia, et al. “Arctic Permafrost”. Encyclopedia of Soils in the Environment, Elsevier, 2023, pp. 410-8, https://doi.org/10.1016/b978-0-12-822974-3.00141-5.

Rowland, Joel. “Drainage Network Response to Arctic Warming”. Nature Communications, vol. 14, 2023, https://doi.org/10.1038/s41467-023-40796-8.

Painter, Scott L., et al. “Drying of Tundra Landscapes Will Limit Subsidence-Induced Acceleration of Permafrost Thaw”. Proceedings of the National Academy of Sciences, vol. 120, no. 8, 2023, https://doi.org/10.1073/pnas.2212171120.

Conroy, Nathan A., et al. “Environmental Controls on Observed Spatial Variability of Soil Pore Water Geochemistry in Small Headwater Catchments Underlain With Permafrost”. The Cryosphere, vol. 17, no. 17, 2023, https://doi.org/ttps://doi.org/10.5194/tc-17-3987-2023.

Uhlemann, Sebastian, et al. “Estimating Permafrost Distribution Using Co-Located Temperature and Electrical Resistivity Measurements”. Geophysical Research Letters, vol. 50, 2023, https://doi.org/10.1029/2023GL103987.

Thaler, Evan A., et al. “Estimating Snow Cover from High-Resolution Satellite Imagery by Thresholding Blue Wavelengths”. Remote Sensing of Environment, vol. 285, 2023, p. 113403, https://doi.org/10.1016/j.rse.2022.113403.

Thaler, Evan A., et al. “High-Resolution Maps of Near-Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning”. Earth and Space Science, vol. 10, 2023, https://doi.org/10.1029/2023EA003015.