Charles Koven


  • Sulman, Benjamin N., et al. “Land Use and Land Cover Affect the Depth Distribution of Soil Carbon: Insights From a Large Database of Soil Profiles”. Frontiers in Environmental Science, vol. 8, 2020,
  • 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,


  • 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,
  • Muster, Sina, et al. “Size Distributions of Arctic Waterbodies Reveal Consistent Relations in Their Statistical Moments in Space and Time”. Frontiers in Earth Science, vol. 7, 2019,


  • McGuire, David, et al. “Dependence of the Evolution of Carbon Dynamics in the Northern Permafrost Region on the Trajectory of Climate Change”. Proceedings of the National Academy of Sciences, vol. 115, no. 15, 2018, pp. 3882-7,
  • Parazoo, Nicholas C., et al. “Detecting the Permafrost Carbon Feedback: Talik Formation and Increased Cold-Seasonrespiration As Precursors to Sink-to-Source Transitions”. The Cryosphere Discussions, 2018, pp. 1-44,


  • Ghimire, Bardan, et al. “A Global Trait-Based Approach to Estimate Leaf Nitrogen Functional Allocation from Observations”. Ecological Applications, vol. 27, no. 5, 2017, pp. 1421-34,
  • Muster, Sina, et al. “PeRL: A Circum-Arctic Permafrost Region Pond and Lake Database”. Earth System Science Data Discussions, 2017, pp. 1-46,
  • Muster, Sina, et al. “PeRL: A circum-Arctic Permafrost Region Pond and lake database”. Earth System Science Data, vol. 9, no. 1, 2017, pp. 317-48,


  • Xu, Xiyan, et al. “A Multi-Scale Comparison of Modeled and Observed Seasonal Methane Emissions in Northern Wetlands”. Biogeosciences, vol. 13, no. 17, 2016, pp. 5043-56,
  • Parazoo, Nicholas C., et al. “Detecting Regional Patterns of Changing CO <sub>2< Sub> Flux in Alaska”. Proceedings of the National Academy of Sciences, vol. 113, no. 28, 2016, pp. 7733-8,
  • Ghimire, Bardan, et al. “Representing Leaf and Root Physiological Traits in CLM Improves Global Carbon and Nitrogen Cycling Predictions”. Journal of Advances in Modeling Earth Systems, vol. 8, no. 2, 2016, pp. 598-13,
  • McGuire, David, et al. “Variability in the Sensitivity Among Model Simulations of Permafrost and Carbon Dynamics in the Permafrost Region Between 1960 and 2009”. Global Biogeochemical Cycles, vol. 30, no. 7, 2016, pp. 1015-37,


  • 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,
  • Schuur, Edward A.G., et al. “Climate Change and the Permafrost Carbon Feedback”. Nature, vol. 520, no. 7546, 2015, pp. 171-9,
  • Koven, Charles D., et al. “Permafrost carbon−climate Feedback Is Sensitive to Deep Soil Carbon Decomposability But Not Deep Soil Nitrogen Dynamics”. Proceedings of the National Academy of Sciences, 2015, pp. 3752 – 3757,
  • Lawrence, David M., et al. “Permafrost Thaw and Resulting Soil Moisture Changes Regulate Projected High-Latitude Carbon Dioxide and Methane Emissions”. Environmental Research Letters, vol. 10, no. 9, 2015,


  • 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,


  • Koven, Charles D., et al. “Permafrost Carbon-Climate Feedbacks Accelerate Global Warming”. Proceedings of the National Academy of Sciences, vol. 108, no. 36, 2011, pp. 14769-74,