Publications

Displaying 21 - 40 of 65
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. Léger, Emmanuel, et al. “A Distributed Temperature Profiling Method for Assessing Spatial Variability in Ground Temperatures in a Discontinuous Permafrost Region of Alaska”. The Cryosphere, vol. 13, 2019, pp. 2853-67, https://doi.org/10.5194/tc-13-2853-2019.
  10. Tang, Jinyun Y., and William J. Riley. “A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration”. Journal of Geophysical Research: Biogeosciences, vol. 124, no. 4, 2019, pp. 918-40, https://doi.org/10.1029/2018JG004779.
  11. Dwivedi, Dipankar, et al. “Abiotic and Biotic Controls on Soil Organo–Mineral Interactions: Developing Model Structures to Analyze Why Soil Organic Matter Persists”. Reviews in Mineralogy and Geochemistry, vol. 85, no. 1, 2019, pp. 329-48, https://doi.org/10.2138/rmg.2019.85.11.
  12. Kumarathunge, Dushan P., et al. “Acclimation and Adaptation Components of the Temperature Dependence of Plant Photosynthesis at the Global Scale”. New Phytologist, vol. 222, no. 2, 2019, pp. 768-84, https://doi.org/10.1111/nph.15668.
  13. Salmon, Verity G., et al. “Alder Distribution and Expansion across a Tundra Hillslope: Implications for Local N Cycling”. Frontiers in Plant Science, vol. 10, 2019, https://doi.org/10.3389/fpls.2019.01099.
  14. Wieder, William R., et al. “Arctic Soil Governs Whether Climate Change Drives Global Losses or Gains in Soil Carbon”. Geophysical Research Letters, vol. 46, no. 24, 2019, pp. 14486-95, https://doi.org/10.1029/2019GL085543.
  15. Langford, Zachary L., et al. “Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks”. Remote Sensing, vol. 11, no. 1, 2019, p. 69, https://doi.org/10.3390/rs11010069.
  16. Abolt, Charles J., et al. “Brief Communication: Rapid Machine-Learning-Based Extraction and Measurement of Ice Wedge Polygons in High-Resolution Digital Elevation Models”. The Cryosphere, vol. 13, no. 1, 2019, pp. 237-45, https://doi.org/10.5194/tc-13-237-2019.
  17. Rawlins, Michael A., et al. “Changing Characteristics of Runoff and Freshwater Export from Watersheds Draining Northern Alaska”. The Cryosphere, vol. 13, no. 12, 2019, pp. 3337-52, https://doi.org/10.5194/tc-13-3337-2019.
  18. Yumashev, Dmitry, et al. “Climate Policy Implications of Nonlinear Decline of Arctic Land Permafrost and Other Cryosphere Elements”. Nature Communications, vol. 10, no. 10, 2019, p. 1900, https://doi.org/10.1038/s41467-019-09863-x.
  19. Tang, Jinyun Y., and William J. Riley. “Competitor and Substrate Sizes and Diffusion Together Define Enzymatic Depolymerization and Microbial Substrate Uptake Rates”. Soil Biology and Biochemistry, vol. 139, 2019, https://doi.org/10.1016/j.soilbio.2019.107624.
  20. Norby, Richard J., et al. “Controls on Fine-Scale Spatial and Temporal Variability of Plant-Available Inorganic Nitrogen in a Polygonal Tundra Landscape”. Ecosystems, vol. 22, 2019, pp. 528–543, https://doi.org/10.1007/s10021-018-0285-6.