Kevin Schaefer

2021

  • 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.
  • 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.

2020

  • 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.
  • 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.

2019

  • 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.

2018

  • Overeem, Irina, et al. “A Modeling Toolbox for Permafrost Landscapes”. Eos, Transactions, American Geophysical Union, vol. 99, 2018, https://doi.org/10.1029/2018EO105155.
  • Wang, Kang, et al. “A Synthesis Dataset of Permafrost-Affected Soil Thermal Conditions for Alaska, USA”. Earth System Science Data, vol. 10, no. 4, 2018, pp. 2311-28, https://doi.org/10.5194/essd-10-2311-2018.
  • Fisher, Joshua B., et al. “Missing Pieces to Modeling the Arctic-Boreal Puzzle”. Environmental Research Letters, vol. 13, no. 2, 2018, p. 020202, https://doi.org/10.1088/1748-9326/aa9d9a.

2015

  • Koven, Charles D., et al. “A Simplified, Data-Constrained Approach to Estimate the Permafrost carbon–climate Feedback”. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 373, no. 2054, 2015, https://doi.org/10.1098/rsta.2014.0423.
  • Schuur, Edward A.G., et al. “Climate Change and the Permafrost Carbon Feedback”. Nature, vol. 520, no. 7546, 2015, pp. 171-9, https://doi.org/10.1038/nature14338.