Publications

Salmon, Verity G., et al. “Agile Allocation in the Tundra: A Single Growing Season of Warming Increases Nutrient Availability While Decreasing Fine-Root Length”. Ecosystems, vol. 29, 2026, https://doi.org/10.1007/s10021-025-01019-x.

Wagner, Anna M., et al. “Analyzing Historical Snow Trends in Interior Alaska”. Journal of Hydrology: Regional Studies, vol. 64, 2026, https://doi.org/10.1016/j.ejrh.2025.103065.

Yang, Daryl, et al. “Ecological Insights from Transferable Plant Biomass Mapping across the Arctic Using High-Resolution Structure-from-Motion and LiDAR Data”. Environmental Research Ecology, vol. 5, 2026, https://doi.org/10.1088/2752-664X/ae6d03.

Poe, Jeralyn, et al. “Informing Robust Functional Relationship Benchmarks: An Evaluation of the Temperature Sensitivity of Ecosystem Respiration Across the Arctic-Boreal Region”. Journal of Geophysical Research: Biogeosciences, vol. 131, 2026, https://doi.org/10.1029/2025JG009307.

Huang, Xiang, et al. “Runoff Evaluation in an Earth System Land Model for Permafrost Regions in Alaska”. Geoscientific Model Development, vol. 19, 2026, https://doi.org/10.5194/gmd-19-1193-2026.

Lamour, Julien, et al. “The Global Spectra-Trait Initiative: A Database of Paired Leaf Spectroscopy and Functional Traits Associated With Leaf Photosynthetic Capacity”. Earth System Science Data, vol. 18, 2026, https://doi.org/10.5194/essd-18-245-2026.

Yang, Daryl, et al. “Topography and Functional Traits Shape the Distribution of Key Shrub Plant Functional Types in Low-Arctic Tundra”. Frontiers in Plant Science, vol. 16, 2026, https://doi.org/10.3389/fpls.2025.1724838.

Farley, Margaret S, et al. “Vegetation Heterogeneity Reflects Soil Thermal State and Surface Soil Displacement in a Thawing Permafrost Landscape”. Environmental Research Ecology, vol. 5, 2026, https://doi.org/10.1088/2752-664X/ae5dd5.

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.

Weber, Sören E., and Colleen M. Iversen. “How Deep Should We Go to Understand Roots at the Top of the World?”. New Phytologist, 2023, https://doi.org/10.1111/nph.19220.

Zhang, Lijie, et al. “Inhibition of Methylmercury and Methane Formation by Nitrous Oxide in Arctic Tundra Soil Microcosms”. Environmental Science and Technology, vol. 57, no. 14, 2023, pp. 5655-6, https://doi.org/10.1021/acs.est.2c09457.

Yang, Dedi, et al. “Integrating Very-High-Resolution UAS Data and Airborne Imaging Spectroscopy to Map the Fractional Composition of Arctic Plant Functional Types in Western Alaska”. Remote Sensing of Environment, vol. 286, 2023, p. 113430, https://doi.org/10.1016/j.rse.2022.113430.

Shirley, Ian A, et al. “Machine Learning Models Inaccurately Predict Current and Future High-Latitude C Balances”. Environmental Research Letters, vol. 18, no. 1, 2023, p. 014026, https://doi.org/10.1088/1748-9326/acacb2.