Publications

Schädel, Christina, et al. “Potential Carbon Emissions Dominated by Carbon Dioxide from Thawed Permafrost Soils”. Nature Climate Change, vol. 6, no. 10, 2016, pp. 950-3, https://doi.org/10.1038/nclimate3054.

Dafflon, Baptiste, et al. “Quantification of Arctic Soil and Permafrost Properties Using Ground Penetrating Radar”. 2016 16th International Conference on Ground Penetrating Radar (GPR) , 2016, https://doi.org/10.1109/ICGPR.2016.7572663.

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, https://doi.org/10.1002/2015MS000538.

Xu, Xiaofeng, et al. “Reviews and Syntheses: Four Decades of Modeling Methane Cycling in Terrestrial Ecosystems”. Biogeosciences, vol. 13, no. 12, 2016, pp. 3735-5, https://doi.org/10.5194/bg-13-3735-2016.

Zhu, Qing, et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications for Trait-Based Land Models”. Journal of Geophysical Research: Biogeosciences, vol. 121, no. 12, 2016, pp. 3101-12, https://doi.org/10.1002/2016JG003554.

Cable, William L., et al. “Scaling-up Permafrost Thermal Measurements in Western Alaska Using an Ecotype Approach”. The Cryosphere, vol. 10, no. 5, 2016, pp. 2517-32, https://doi.org/10.5194/tc-10-2517-2016.

Farquharson, Louise M., et al. “Spatial Distribution of Thermokarst Terrain in Arctic Alaska”. Geomorphology, vol. 273, 2016, pp. 116-33, https://doi.org/10.1016/j.geomorph.2016.08.007.

Tang, Jinyun Y., and William J. Riley. “Technical Note: A Generic Law-of-the-Minimum Flux Limiter for Simulating Substrate Limitation in Biogeochemical Models”. Biogeosciences, vol. 13, no. 3, 2016, pp. 723-35, https://doi.org/10.5194/bg-13-723-2016.

Walker, Donald A., et al. “The Alaska Arctic Vegetation Archive (AVA-AK)”. Phytocoenologia, vol. 46, no. 2, 2016, pp. 221-9, https://doi.org/10.1127/phyto/2016/0128.

Sjöberg, Ylva, et al. “Thermal Effects of Groundwater Flow through Subarctic Fens: A Case Study Based on Field Observations and Numerical Modeling”. Water Resources Research, vol. 52, no. 3, 2016, pp. 1591-06, https://doi.org/10.1002/2015WR017571.

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, https://doi.org/10.1002/2016GB005405.

Yang, Ziming, et al. “Warming Increases Methylmercury Production in an Arctic Soil”. Environmental Pollution, vol. 214, 2016, pp. 504-9, https://doi.org/10.1016/j.envpol.2016.04.069.

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.