Publications

Displaying 41 - 57 of 57
By year of publication, then alphabetical by title
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.