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.

Léger, Emmanuel, et al. “A Distributed Temperature Profiling Method for Assessing Spatial Variability in Ground Temperatures in a Discontinuous Permafrost Region of Alaska”. The Cryosphere, vol. 13, 2019, pp. 2853-67, https://doi.org/10.5194/tc-13-2853-2019.

Tang, Jinyun Y., and William J. Riley. “A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration”. Journal of Geophysical Research: Biogeosciences, vol. 124, no. 4, 2019, pp. 918-40, https://doi.org/10.1029/2018JG004779.

Dwivedi, Dipankar, et al. “Abiotic and Biotic Controls on Soil Organo–Mineral Interactions: Developing Model Structures to Analyze Why Soil Organic Matter Persists”. Reviews in Mineralogy and Geochemistry, vol. 85, no. 1, 2019, pp. 329-48, https://doi.org/10.2138/rmg.2019.85.11.

Kumarathunge, Dushan P., et al. “Acclimation and Adaptation Components of the Temperature Dependence of Plant Photosynthesis at the Global Scale”. New Phytologist, vol. 222, no. 2, 2019, pp. 768-84, https://doi.org/10.1111/nph.15668.

Salmon, Verity G., et al. “Alder Distribution and Expansion across a Tundra Hillslope: Implications for Local N Cycling”. Frontiers in Plant Science, vol. 10, 2019, https://doi.org/10.3389/fpls.2019.01099.

Wieder, William R., et al. “Arctic Soil Governs Whether Climate Change Drives Global Losses or Gains in Soil Carbon”. Geophysical Research Letters, vol. 46, no. 24, 2019, pp. 14486-95, https://doi.org/10.1029/2019GL085543.

Langford, Zachary L., et al. “Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks”. Remote Sensing, vol. 11, no. 1, 2019, p. 69, https://doi.org/10.3390/rs11010069.

Abolt, Charles J., et al. “Brief Communication: Rapid Machine-Learning-Based Extraction and Measurement of Ice Wedge Polygons in High-Resolution Digital Elevation Models”. The Cryosphere, vol. 13, no. 1, 2019, pp. 237-45, https://doi.org/10.5194/tc-13-237-2019.