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.

Zhang, Tianqi, et al. “A Region-Growing Segmentation Approach to Delineating Timberline from Satellite-Derived Tree Fractional Cover Products”. Remote Sensing, vol. 17, 2025, https://doi.org/10.3390/rs17122002.

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.

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.

Wang, Xiaorong, et al. “Can large‐scale Satellite Products Track the Effects of Atmospheric Dryness and Soil Water Deficit on Ecosystem Productivity under Droughts?”. Geophysical Research Letters, vol. 52, 2025, https://doi.org/10.1029/2024GL110785 .

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.

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.

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.

Dann, Julian, et al. “Evaluating Aufeis Detection Methods Using Landsat Imagery: Comparative Assessment and Recommendations”. Science of Remote Sensing, vol. 11, 2025, https://doi.org/10.1016/j.srs.2025.100230.

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.

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.

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.

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.

Ghimire, Bardan, et al. “A Global Trait-Based Approach to Estimate Leaf Nitrogen Functional Allocation from Observations”. Ecological Applications, vol. 27, no. 5, 2017, pp. 1421-34, https://doi.org/10.1002/eap.1542.

Zhu, Qing, et al. “A New Theory of Plant-Microbe Nutrient Competition Resolves Inconsistencies Between Observations and Model Predictions”. Ecological Applications, vol. 27, no. 3, 2017, pp. 875-86, https://doi.org/10.1002/eap.1490.

Rogers, Alistair, et al. “A Roadmap for Improving the Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 213, no. 1, 2017, pp. 22-42, https://doi.org/10.1111/nph.14283.