Publications

Displaying 21 - 40 of 57
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. Burnett, Angela C., et al. “A Best-Practice Guide to Predicting Plant Traits from Leaf-Level Hyperspectral Data Using Partial Least Squares Regression”. Journal of Experimental Botany, vol. 72, no. 18, 2021, pp. 6175-89, https://doi.org/10.1093/jxb/erab295.
  10. Ely, Kim S., et al. “A Reporting Format for Leaf-Level Gas Exchange Data and Metadata”. Ecological Informatics, vol. 61, 2021, p. 101232, https://doi.org/10.1016/j.ecoinf.2021.101232.
  11. Clayton, Leah K., et al. “Active Layer Thickness As a Function of Soil Water Content”. Environmental Research Letters, vol. 16, no. 5, 2021, p. 055028, https://doi.org/10.1088/1748-9326/abfa4c.
  12. Glade, Rachel C., et al. “Arctic Soil Patterns Analogous to Fluid Instabilities”. Proceedings of the National Academy of Sciences, vol. 118, no. 21, 2021, https://doi.org/10.1073/pnas.2101255118.
  13. Mekonnen, Zelalem A., et al. “Arctic Tundra Shrubification: A Review of Mechanisms and Impacts on Ecosystem Carbon Balance”. Environmental Research Letters, vol. 16, no. 5, 2021, p. 053001, https://doi.org/10.1088/1748-9326/abf28b.
  14. Fer, Istem, et al. “Beyond Ecosystem Modeling: A Roadmap to Community Cyberinfrastructure for Ecological data‐model Integration”. Global Change Biology, vol. 27, no. 1, 2021, pp. 13-26, https://doi.org/10.1111/gcb.15409.
  15. Mekonnen, Zelalem A., et al. “Changes in Precipitation and Air Temperature Contribute Comparably to Permafrost Degradation in a Warmer Climate”. Environmental Research Letters, vol. 16, no. 2, 2021, p. 024008, https://doi.org/10.1088/1748-9326/abc444.
  16. Tang, Jinyun Y., et al. “Conceptualizing Biogeochemical Reactions With an Ohm’s Law Analogy”. Journal of Advances in Modeling Earth Systems, vol. 13, no. 10, 2021, https://doi.org/10.1029/2021MS002469.
  17. Schneider von Deimling, Thomas, et al. “Consequences of Permafrost Degradation for Arctic Infrastructure – Bridging the Model Gap Between Regional and Engineering Scales”. The Cryosphere, vol. 15, no. 5, 2021, pp. 2451-7, https://doi.org/10.5194/tc-15-2451-2021.
  18. Hollingsworth, Teresa N., et al. “Does Fire Always Accelerate Shrub Expansion in Arctic Tundra? Examining a Novel Grass-Dominated Successional Trajectory on the Seward Peninsula”. Arctic, Antarctic, and Alpine Research, vol. 53, no. 1, 2021, pp. 93-109, https://doi.org/10.1080/15230430.2021.1899562.
  19. Chen, Yang, et al. “Future Increases in Arctic Lightning and Fire Risk for Permafrost Carbon”. Nature Climate Change, vol. 11, no. 5, 2021, pp. 404-10, https://doi.org/10.1038/s41558-021-01011-y.
  20. Uhlemann, Sebastian, et al. “Geophysical Monitoring Shows That Spatial Heterogeneity in Thermohydrological Dynamics Reshapes a Transitional Permafrost System”. Geophysical Research Letters, vol. 48, no. 6, 2021, https://doi.org/10.1029/2020GL091149.