Displaying 281 - 300 of 334
By year of publication, then alphabetical by title
  1. Koven, Charles D., et al. “Permafrost carbon−climate Feedback Is Sensitive to Deep Soil Carbon Decomposability But Not Deep Soil Nitrogen Dynamics”. Proceedings of the National Academy of Sciences, 2015, pp. 3752 – 3757,
  2. Lawrence, David M., et al. “Permafrost Thaw and Resulting Soil Moisture Changes Regulate Projected High-Latitude Carbon Dioxide and Methane Emissions”. Environmental Research Letters, vol. 10, no. 9, 2015,
  3. Lara, Mark J., et al. “Polygonal Tundra Geomorphological Change in Response to Warming Alters Future Carbon Dioxide and Methane Flux on the Barrow Peninsula”. Global Change Biology, vol. 21, 2015, pp. 1634-51,
  4. Warren, Jeffery M., et al. “Root Structural and Functional Dynamics in Terrestrial Biosphere Models - Evaluation and Recommendations”. New Phytologist, vol. 205, no. 1, 2015, pp. 59-78,
  5. Weston, David J., et al. “Sphagnum Physiology in the Context of Changing Climate: Emergent Influences of Genomics, Modelling and Host-Microbiome Interactions on Understanding Ecosystem Function”. Plant, Cell & Environment, vol. 38, no. 9, 2015, pp. 1737-51,
  6. RoyChowdhury, Taniya, et al. “Stoichiometry and Temperature Sensitivity of Methanogenesis and CO<sub>2< Sub> Production from Saturated Polygonal Tundra in Barrow, Alaska”. Global Change Biology, vol. 21, no. 2, 2015, pp. 722-37,
  7. Maggi, Federico, and William J. Riley. “The Effect of Temperature on the Rate, Affinity, and 15N Fractionation of NO3 − During Biological Denitrification in Soils”. Biogeochemistry, vol. 124, no. 1-3, 2015, pp. 235-53,
  8. Iversen, Colleen M., et al. “The Unseen Iceberg: Plant Roots in Arctic Tundra”. New Phytologist, vol. 205, no. 1, 2015, pp. 34-58,
  9. Devarakonda, Ranjeet, et al. “Use of a Metadata Documentation and Search Tool for Large Data Volumes: The NGEE Arctic Example”. 2015 IEEE International Conference on Big Data (Big Data), 2015,
  10. Atchley, Adam L., et al. “Using Field Observations to Inform Thermal Hydrology Models of Permafrost Dynamics With ATS (v0.83)”. Geoscientific Model Development, vol. 8, no. 9, 2015, pp. 2701-22,
  11. Tang, Jinyun Y., and William J. Riley. “Weaker Soil carbon–climate Feedbacks Resulting from Microbial and Abiotic Interactions”. Nature Climate Change, vol. 5, no. 1, 2015, pp. 56-60,
  12. Bohn, Theodore J., et al. “WETCHIMP-WSL: Intercomparison of Wetland Methane Emissions Models over West Siberia”. Biogeosciences, vol. 12, no. 11, 2015, pp. 3321-49,
  13. Pau, George Shu Heng, et al. “A Reduced-Order Modeling Approach to Represent Subgrid-Scale Hydrological Dynamics for Land-Surface Simulations: Application in a Polygonal Tundra Landscape”. Geoscientific Model Development, vol. 7, no. 5, 2014, pp. 2091-05,
  14. Riley, William J., and Chaopeng Shen. “Characterizing Coarse-Resolution Watershed Soil Moisture Heterogeneity Using Fine-Scale Simulations and Reduced-Order Models”. Hydrology and Earth System Sciences, vol. 18, no. 7, 2014, pp. 2463-8,
  15. Painter, Scott L., and Satish Karra. “Constitutive Model for Unfrozen Water Content in Subfreezing Unsaturated Soils”. Vadose Zone Journal, vol. 13, no. 4, 2014,
  16. Gangodagamage, Chandana, et al. “Extrapolating Active Layer Thickness Measurements across Arctic Polygonal Terrain Using LiDAR and NDVI Data Sets”. Water Resources Research, vol. 50, no. 8, 2014, pp. 6339-57,
  17. Dou, Shan, and Jonathan B. Ajo-Franklin. “Full-Wavefield Inversion of Surface Waves for Mapping Embedded Low-Velocity Zones in Permafrost”. GEOPHYSICS, vol. 79, no. 6, 2014, pp. EN107 - EN124,
  18. Rogers, Alistair, et al. “Improving Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 204, no. 1, 2014, pp. 12-14,
  19. Moody, Daniela I., et al. “Land Cover Classification in Multispectral Imagery Using Clustering of Sparse Approximations over Learned Feature Dictionaries”. Journal of Applied Remote Sensing, vol. 8, no. 1, 2014, p. 084793,
  20. Riley, William J., et al. “Long Residence Times of Rapidly Decomposable Soil Organic Matter: Application of a Multi-Phase, Multi-Component, and Vertically Resolved Model (BAMS1) to Soil Carbon Dynamics”. Geoscientific Model Development, vol. 7, no. 4, 2014, pp. 1335-5,