Publications

Gallagher, Rachael V., et al. “Open Science Principles for Accelerating Trait-Based Science across the Tree of Life”. Nature Ecology & Evolution, vol. 4, no. 3, 2020, pp. 294-03, https://doi.org/10.1038/s41559-020-1109-6.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.