Publications

Displaying 21 - 40 of 60
By year of publication, then alphabetical by title
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Zlotnik, Vitaly A., et al. “A Model of Ice Wedge Polygon Drainage in Changing Arctic Terrain”. Water, vol. 12, no. 12, 2020, p. 3376, https://doi.org/10.3390/w12123376.
  10. Yang, Dedi, et al. “A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra”. Remote Sensing, vol. 12, no. 16, 2020, p. 2638, https://doi.org/10.3390/rs12162638.
  11. Bouskill, Nicholas J., et al. “Alaskan Carbon-Climate Feedbacks Will Be Weaker Than Inferred from Short-Term Manipulations”. Nature Communications, vol. 11, 2020, p. 5798, https://doi.org/https://doi.org/10.1038/s41467-020-19574-3.
  12. Philben, Michael J., et al. “Anaerobic Respiration Pathways and Response to Increased Substrate Availability of Arctic Wetland Soils”. Environmental Science: Processes & Impacts, vol. 22, no. 10, 2020, pp. 2070-83, https://doi.org/10.1039/D0EM00124D.
  13. Zhu, Qing, et al. “Assessing Impacts of Plant Stoichiometric Traits on Terrestrial Ecosystem Carbon Accumulation Using the E3SM Land Model”. Journal of Advances in Modeling Earth Systems, 2020, https://doi.org/10.1029/2019MS001841.
  14. Iversen, Colleen M., et al. “Building a Culture of Safety and Trust in Team Science”. Eos, vol. 101, 2020, https://doi.org/10.1029/2020EO143064.
  15. Coon, Ethan T., et al. “Coupling Surface Flow and Subsurface Flow in Complex Soil Structures Using Mimetic Finite Differences”. Advances in Water Resources, vol. 144, 2020, p. 103701, https://doi.org/10.1016/j.advwatres.2020.103701.
  16. Euskirchen, Eugénie S., et al. “Co‐producing Knowledge: The Integrated Ecosystem Model for Resource Management in Arctic Alaska”. Frontiers in Ecology and the Environment, vol. 18, no. 1, 2020, pp. 447-55, https://doi.org/10.1002/fee.2176.
  17. Jafarov, Elchin E., et al. “Estimation of Subsurface Porosities and Thermal Conductivities of Polygonal Tundra by Coupled Inversion of Electrical Resistivity, Temperature, and Moisture Content Data”. The Cryosphere, vol. 14, no. 1, 2020, pp. 77-91, https://doi.org/10.5194/tc-14-77-2020.
  18. Jan, Ahmad, et al. “Evaluating Integrated Surface Subsurface Permafrost Thermal Hydrology Models in ATS (v0.88) Against Observations from a Polygonal Tundra Site”. Geoscientific Model Development, vol. 13, no. 5, 2020, pp. 2259-76, https://doi.org/10.5194/gmd-13-2259-202010.5194/gmd-13-2259-2020-supplement.
  19. Abolt, Charles J., et al. “Feedbacks Between Surface Deformation and Permafrost Degradation in Ice Wedge Polygons, Arctic Coastal Plain, Alaska”. Journal of Geophysical Research: Earth Surface, vol. 125, no. 3, 2020, https://doi.org/10.1029/2019jf005349.
  20. Abolt, Charles J., and Michael H. Young. “High-Resolution Mapping of Spatial Heterogeneity in Ice Wedge Polygon Geomorphology Near Prudhoe Bay, Alaska”. Scientific Data, vol. 7, no. 1, 2020, https://doi.org/10.1038/s41597-020-0423-9.