Publications

Displaying 21 - 40 of 55
By year of publication, then alphabetical by title
  1. Coon, Ethan T., et al. “Managing Complexity in Simulations of Land Surface and Near-Surface Processes”. Environmental Modelling & Software, vol. 78, 2016, pp. 134-49, https://doi.org/10.1016/j.envsoft.2015.12.017.
  2. Langford, Zachary L., et al. “Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets”. Remote Sensing, vol. 8, no. 9, 2016, p. 733, https://doi.org/10.3390/rs8090733.
  3. Kumar, Jitendra, et al. “Modeling the Spatiotemporal Variability in Subsurface Thermal Regimes across a Low-Relief Polygonal Tundra Landscape”. The Cryosphere, vol. 10, no. 5, 2016, pp. 2241-74, https://doi.org/10.5194/tc-10-2241-2016.
  4. Liljedahl, Anna K., et al. “Pan-Arctic Ice-Wedge Degradation in Warming Permafrost and Its Influence on Tundra Hydrology”. Nature Geoscience, 2016, https://doi.org/10.1038/ngeo2674.
  5. Mackelprang, Rachel, et al. “Permafrost Meta-Omics and Climate Change”. Annual Review of Earth and Planetary Sciences, vol. 44, no. 1, 2016, pp. 439-62, https://doi.org/10.1146/annurev-earth-060614-105126.
  6. 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.
  7. 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.
  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, https://doi.org/10.1002/2015MS000538.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. Tang, Jinyun Y., and William J. Riley. “A Total Quasi-Steady-State Formulation of Substrate Uptake Kinetics in Complex Networks and an Example Application to Microbial Litter Decomposition”. Biogeosciences, vol. 10, no. 12, 2013, pp. 8329-51, https://doi.org/10.5194/bg-10-8329-201310.5194/bg-10-8329-2013-supplement.
  19. Skurikhin, Alexei N., et al. “Arctic Tundra Ice-Wedge Landscape Characterization by Active Contours Without Edges and Structural Analysis Using High-Resolution Satellite Imagery”. Remote Sensing Letters, vol. 4, no. 11, 2013, pp. 1077-86, https://doi.org/10.1080/2150704X.2013.840404.
  20. Dafflon, Baptiste, et al. “Electrical Conductivity Imaging of Active Layer and Permafrost in an Arctic Ecosystem, through Advanced Inversion of Electromagnetic Induction Data”. Vadose Zone Journal, vol. 12, no. 4, 2013, https://doi.org/10.2136/vzj2012.0161.