Publications

Displaying 21 - 39 of 39
By year of publication, then alphabetical by title
  1. Jan, Ahmad, and Scott L. Painter. “Permafrost Thermal Conditions Are Sensitive to Shifts in Snow Timing”. Environmental Research Letters, vol. 15, no. 8, 2020, p. 084026, https://doi.org/10.1088/1748-9326/ab8ec4.
  2. Lehmann, Johannes, et al. “Persistence of Soil Organic Carbon Caused by Functional Complexity”. Nature Geoscience, vol. 13, no. 8, 2020, pp. 529-34, https://doi.org/10.1038/s41561-020-0612-3.
  3. Schaefer, Kevin M., et al. “Potential Impacts of Mercury Released from Thawing Permafrost”. Nature Communications, vol. 11, no. 1, 2020, https://doi.org/10.1038/s41467-020-18398-5.
  4. Wang, Kang, et al. “Sensitivity Evaluation of the Kudryavtsev Permafrost Model”. Science of The Total Environment, vol. 720, 2020, p. 137538, https://doi.org/10.1016/j.scitotenv.2020.137538.
  5. Andresen, Christian G., et al. “Soil Moisture and Hydrology Projections of the Permafrost Region – a Model Intercomparison”. The Cryosphere, vol. 14, no. 2, 2020, pp. 445-59, https://doi.org/10.5194/tc-14-445-2020.
  6. Bergmann, Joana, et al. “The Fungal Collaboration Gradient Dominates the Root Economics Space in Plants”. Science Advances, vol. 6, no. 27, 2020, https://doi.org/10.1126/sciadv.aba3756.
  7. Andersen, Jeremiah K., et al. “The State of the Climate in 2019: The Arctic”. Bulletin of the American Meteorological Society, vol. 101, no. 8, 2020, pp. S239 - S286, https://doi.org/10.1175/BAMS-D-20-0086.1.
  8. Conroy, Nathan Alec, et al. “Timing and Duration of Hydrological Transitions in Arctic Polygonal Ground from Stable Isotopes”. Hydrological Processes, vol. 34, 2020, pp. 749-64, https://doi.org/10.1002/hyp.13623.
  9. Conroy, Nathan Alec, et al. “Timing and Duration of Hydrological Transitions in Arctic Polygonal Ground from Stable Isotopes”. Hydrological Processes, vol. 34, no. 3, 2020, pp. 749-64, https://doi.org/10.1002/hyp.13623.
  10. Kattge, Jens, et al. “TRY Plant Trait Database – Enhanced Coverage and Open Access”. Global Change Biology, vol. 26, 2020, pp. 119-88, https://doi.org/10.1111/gcb.14904.
  11. Collins, A. D., et al. “UAS LIDAR MAPPING OF AN ARCTIC TUNDRA WATERSHED: CHALLENGES AND OPPORTUNITIES”. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLIV-M-2-2020, 2020, pp. 1-8, https://doi.org/10.5194/isprs-archives-xliv-m-2-2020-1-2020.
  12. Wales, Nathan A., et al. “Understanding the Relative Importance of Vertical and Horizontal Flow in Ice-Wedge Polygons”. Hydrology and Earth System Sciences, vol. 24, no. 3, 2020, pp. 1109-2, https://doi.org/10.5194/hess-24-1109-2020.
  13. McGuire, David, et al. “An Assessment of the Carbon Balance of Arctic Tundra: Comparisons Among Observations, Process Models, and Atmospheric Inversions”. Biogeosciences, vol. 9, no. 8, 2012, pp. 3185-04, https://doi.org/10.5194/bg-9-3185-201210.5194/bg-9-3185-2012-supplement.
  14. Lewis, K. C., et al. “Drainage Subsidence Associated With Arctic Permafrost Degradation”. Journal of Geophysical Research, vol. 117, no. F4, 2012, https://doi.org/10.1029/2011JF002284.
  15. Lee, Hanna, et al. “Enhancing Terrestrial Ecosystem Sciences by Integrating Empirical Modeling Approaches”. Eos, Transactions, American Geophysical Union, vol. 93, no. 25, 2012, pp. 237-, https://doi.org/10.1029/2012EO250008.
  16. McCarthy, Heather R., et al. “Integrating Empirical-Modeling Approaches to Improve Understanding of Terrestrial Ecology Processes”. New Phytologist, vol. 195, no. 3, 2012, pp. 523-5, https://doi.org/10.1111/j.1469-8137.2012.04222.x.
  17. Graham, David E., et al. “Microbes in Thawing Permafrost: The Unknown Variable in the Climate Change Equation”. The ISME Journal, vol. 6, no. 4, 2012, pp. 709-12, https://doi.org/10.1038/ismej.2011.163.
  18. Xu, Chonggang, et al. “Toward a Mechanistic Modeling of Nitrogen Limitation on Vegetation Dynamics”. PLOS ONE, vol. 7, no. 5, 2012, p. e37914, https://doi.org/10.1371/journal.pone.0037914.
  19. Bouskill, Nicholas J., et al. “Trait-Based Representation of Biological Nitrification: Model Development, Testing, and Predicted Community Composition”. Frontiers in Microbiology, vol. 3, 2012, https://doi.org/10.3389/fmicb.2012.00364.