Publications

Displaying 21 - 40 of 40
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. Tang, Jinyun Y., and William J. Riley. “A Total Quasi-Steady-State Formulation of Substrate Uptake Kinetics in Complex Networks and an Example Application to Microbial Litter Decomposition”. Biogeosciences, vol. 10, no. 12, 2013, pp. 8329-51, https://doi.org/10.5194/bg-10-8329-201310.5194/bg-10-8329-2013-supplement.
  10. Skurikhin, Alexei N., et al. “Arctic Tundra Ice-Wedge Landscape Characterization by Active Contours Without Edges and Structural Analysis Using High-Resolution Satellite Imagery”. Remote Sensing Letters, vol. 4, no. 11, 2013, pp. 1077-86, https://doi.org/10.1080/2150704X.2013.840404.
  11. Dafflon, Baptiste, et al. “Electrical Conductivity Imaging of Active Layer and Permafrost in an Arctic Ecosystem, through Advanced Inversion of Electromagnetic Induction Data”. Vadose Zone Journal, vol. 12, no. 4, 2013, https://doi.org/10.2136/vzj2012.0161.
  12. Cunningham, Philip, et al. “Large-Eddy Simulations of Air Flow and Turbulence Within and Around Low-Aspect-Ratio Cylindrical Open-Top Chambers”. Journal of Applied Meteorology and Climatology, vol. 52, no. 8, 2013, pp. 1716-37, https://doi.org/10.1175/JAMC-D-12-041.1.
  13. Painter, Scott L., et al. “Modeling Challenges for Predicting Hydrologic Response to Degrading Permafrost”. Hydrogeology Journal, vol. 21, no. 1, 2013, pp. 221-4, https://doi.org/10.1007/s10040-012-0917-4.
  14. Frampton, Andrew, et al. “Permafrost Degradation and Subsurface-Flow Changes Caused by Surface Warming Trends”. Hydrogeology Journal, vol. 21, no. 1, 2013, pp. 271-80, https://doi.org/10.1007/s10040-012-0938-z.
  15. Hinzman, Larry D., et al. “Preface: Hydrogeology of Cold Regions”. Hydrogeology Journal, vol. 21, no. 1, 2013, pp. 1-4, https://doi.org/10.1007/s10040-012-0943-2.
  16. Hubbard, Susan S., et al. “Quantifying and Relating Land-Surface and Subsurface Variability in Permafrost Environments Using LiDAR and Surface Geophysical Datasets”. Hydrogeology Journal, vol. 21, no. 1, 2013, pp. 149-6, https://doi.org/10.1007/s10040-012-0939-y.
  17. Wu, Yuxin, et al. “Remote Monitoring of freeze–thaw Transitions in Arctic Soils Using the Complex Resistivity Method”. Vadose Zone Journal, vol. 12, no. 1, 2013, https://doi.org/10.2136/vzj2012.0062.
  18. Hoffman, Forrest M., et al. “Representativeness-Based Sampling Network Design for the State of Alaska”. Landscape Ecology, vol. 28, no. 8, 2013, pp. 1567-86, https://doi.org/10.1007/s10980-013-9902-0.
  19. Hinzman, Larry D., et al. “Trajectory of the Arctic As an Integrated System”. Ecological Applications, vol. 23, no. 8, 2013, pp. 1837-68, https://doi.org/10.1890/11-1498.1.
  20. Riley, William J. “Using Model Reduction to Predict the Soil-Surface C<sup>18< sup> Carbon Dioxide Flux: An Example of Representing Complex Biogeochemical Dynamics in a Computationally Efficient Manner”. Geoscientific Model Development, vol. 6, no. 2, 2013, pp. 345-52, https://doi.org/10.5194/gmd-6-345-2013.