Publications

Mekonnen, Zelalem A., et al. “Modelling Impacts of Recent Warming on Seasonal Carbon Exchange in Higher Latitudes of North America”. Arctic Science, vol. 4, no. 4, 2018, pp. 471-84, https://doi.org/10.1139/as-2016-0009.

Chen, Hongmei, et al. “Molecular Insights into Arctic Soil Organic Matter Degradation under Warming”. Environmental Science & Technology, vol. 52, no. 8, 2018, pp. 4555-64, https://doi.org/10.1021/acs.est.7b05469.

Bjorkman, Anne D., et al. “Plant Functional Trait Change across a Warming Tundra Biome”. Nature, vol. 562, no. 7725, 2018, pp. 57-62, https://doi.org/10.1038/s41586-018-0563-7.

Vaughn, Lydia J. S., and Margaret S. Torn. “Radiocarbon Measurements of Ecosystem Respiration and Soil Pore-Space Carbon Dioxide in Utqiaġvik (Barrow), Alaska”. Earth System Science Data, vol. 10, no. 4, 2018, pp. 1943-57, https://doi.org/10.5194/essd-10-1943-2018.

Lara, Mark J., et al. “Reduced Arctic Tundra Productivity Linked With Landform and Climate Change Interactions”. Scientific Reports, vol. 8, no. 1, 2018, https://doi.org/10.1038/s41598-018-20692-8.

Tran, Anh Phuong, et al. “Spatial and Temporal Variations of Thaw Layer Thickness and Its Controlling Factors Identified Using Time-Lapse Electrical Resistivity Tomography and Hydro-Thermal Modeling”. Journal of Hydrology, vol. 561, 2018, pp. 751-63, https://doi.org/10.1016/j.jhydrol.2018.04.028.

Lombardozzi, Danica L., et al. “Triose Phosphate Limitation in Photosynthesis Models Reduces Leaf Photosynthesis and Global Terrestrial Carbon Storage”. Environmental Research Letters, vol. 13, no. 7, 2018, p. 074025, https://doi.org/10.1088/1748-9326/aacf68.

Lara, Mark J., et al. “Tundra Landform and Vegetation Productivity Trend Maps for the Arctic Coastal Plain of Northern Alaska”. Scientific Data, vol. 5, 2018, p. 180058, https://doi.org/10.1038/sdata.2018.58.

Mekonnen, Zelalem A., et al. “Twenty-First Century Tundra Shrubification Could Enhance Net Carbon Uptake of North America Arctic Tundra under an RCP_8.5 Climate Trajectory”. Environmental Research Letters, vol. 13, no. 5, 2018, p. 054029, https://doi.org/10.1088/1748-9326/aabf28.

Langford, Zachary, et al. “Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets”. 2018 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2018, https://doi.org/10.1109/icdmw.2018.00116.

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.