Publications

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.

Miraglio, Thomas, et al. “Mapping Canopy Traits over Québec Using Airborne and Spaceborne Imaging Spectroscopy”. Scientific Reports, vol. 13, no. 1, 2023, https://doi.org/10.1038/s41598-023-44384-0.

Schore, Aiden I. G., et al. “Nitrogen Fixing Shrubs Advance the Pace of Tall-Shrub Expansion in Low-Arctic Tundra”. Communications Earth & Environment, vol. 4, 2023, https://doi.org/https://doi.org/10.1038/s43247-023-01098-5.

Chang, Kuang‐Yu, et al. “Observational Constraints Reduce Model Spread But Not Uncertainty in Global Wetland Methane Emission Estimates”. Global Change Biology, vol. 29, no. 15, 2023, pp. 4298-12, https://doi.org/10.1111/gcb.16755.

Del Vecchio, Joanmarie, et al. “Patterns and Rates of Soil Movement and Shallow Failures across Several Small Watersheds on the Seward Peninsula, Alaska”. Earth Surface Dynamics, vol. 11, no. 2, 2023, pp. 227-45, https://doi.org/10.5194/esurf-11-227-2023.

Yang, Dedi, et al. “PiCAM: A Raspberry Pi-Based Open-Source, Low-Power Camera System for Monitoring Plant Phenology in Arctic Environments”. Methods in Ecology and Evolution, vol. 14, 2023, https://doi.org/10.1111/2041-210X.14231.

Mevenkamp, Hannah, et al. “Reducing Uncertainty of High-Latitude Ecosystem Models through Identification of Key Parameters”. Environmental Research Letters, vol. 18, 2023, https://doi.org/10.1088/1748-9326/ace637.

Tang, Jinyun, and William J. Riley. “Revising the Dynamic Energy Budget Theory With a New Reserve Mobilization Rule and Three Example Applications to Bacterial Growth”. Soil Biology and Biochemistry, vol. 178, 2023, p. 108954, https://doi.org/10.1016/j.soilbio.2023.108954.

Wielandt, Stijn, et al. “TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring”. Journal of Signal Processing Systems, 2023, https://doi.org/10.1007/s11265-023-01834-2.

Santos, Fernanda, et al. “The Eco-Evolutionary Role of Fire in Shaping Terrestrial Ecosystems”. Functional Ecology, vol. 37, no. 8, 2023, https://doi.org/https://doi.org/10.1111/1365-2435.14387.

Dafflon, Baptiste, et al. “A Distributed Temperature Profiling System for Vertically and Laterally Dense Acquisition of Soil and Snow Temperature”. The Cryosphere, vol. 16, no. 2, 2022, pp. 719-36, https://doi.org/10.5194/tc-16-719-2022.

McFarlane, Karis J., et al. “Age and Chemistry of Dissolved Organic Carbon Reveal Enhanced Leaching of Ancient Labile Carbon at the Permafrost Thaw Zone”. Biogeosciences, vol. 19, no. 4, 2022, pp. 1211-23, https://doi.org/10.5194/bg-19-1211-202210.5194/bg-19-1211-2022-supplement.

Euskirchen, Eugénie S., et al. “Assessing Dynamic Vegetation Model Parameter Uncertainty across Alaskan Arctic Tundra Plant Communities”. Ecological Applications, vol. 32, no. 2, 2022, https://doi.org/10.1002/eap.2499.

Conroy, Nathan Alec, et al. “Chemostatic concentration–discharge Behaviour Observed in a Headwater Catchment Underlain With Discontinuous Permafrost”. Hydrological Processes, vol. 36, no. 5, 2022, https://doi.org/10.1002/hyp.v36.510.1002/hyp.14591.