Publications

Displaying 21 - 40 of 64
By year of publication, then alphabetical by title
  1. Yuan, Fengming, and Shuhua Yi. “Responses of Boreal Forest Ecosystems and Permafrost to Climate Change and Disturbances: A Modeling Perspective”. Arctic Hydrology, Permafrost and Ecosystems, Springer International Publishing, 2021, pp. 849-92, https://doi.org/10.1007/978-3-030-50930-9_29.
  2. Kropp, Heather, et al. “Shallow Soils Are Warmer under Trees and Tall Shrubs across Arctic and Boreal Ecosystems”. Environmental Research Letters, vol. 16, no. 1, 2021, p. 015001, https://doi.org/10.1088/1748-9326/abc994.
  3. Watts, Jennifer D., et al. “Soil Respiration Strongly Offsets Carbon Uptake in Alaska and Northwest Canada”. Environmental Research Letters, vol. 16, no. 8, 2021, p. 084051, https://doi.org/10.1088/1748-9326/ac1222.
  4. Virkkala, Anna-Maria, et al. “Statistical Upscaling of Ecosystem Carbon Dioxide Fluxes across the Terrestrial Tundra and Boreal Domain: Regional Patterns and Uncertainties”. Global Change Biology, vol. 27, no. 17, 2021, pp. 4040-59, https://doi.org/10.1111/gcb.v27.1710.1111/gcb.15659.
  5. Roy_Chowdhury, Taniya, et al. “Temporal, Spatial, and Temperature Controls on Organic Carbon Mineralization and Methanogenesis in Arctic High-Centered Polygon SoilsData_Sheet_1.Docx”. Frontiers in Microbiology, vol. 11, 2021, https://doi.org/10.3389/fmicb.2020.61651810.3389/fmicb.2020.616518.s001.
  6. Mekonnen, Zelalem A., et al. “Topographical Controls on Hillslope‐Scale Hydrology Drive Shrub Distributions on the Seward Peninsula, Alaska”. Journal of Geophysical Research: Biogeosciences, vol. 126, no. 2, 2021, https://doi.org/10.1029/2020JG005823.
  7. Rogers, Alistair, et al. “Triose Phosphate Utilization Limitation: An Unnecessary Complexity in Terrestrial Biosphere Model Representation of Photosynthesis”. New Phytologist, 2021, https://doi.org/10.1111/nph.17092.
  8. Ladd, Mallory P., et al. “Untargeted Exometabolomics Provides a Powerful Approach to Investigate Biogeochemical Hotspots With Vegetation and Polygon Type in Arctic Tundra Soils”. Soil Systems, vol. 5, no. 1, 2021, p. 10, https://doi.org/10.3390/soilsystems5010010.
  9. Debolskiy, Matvey V., et al. “Water Balance Response of Permafrost-Affected Watersheds to Changes in Air Temperatures”. Environmental Research Letters, vol. 16, no. 8, 2021, p. 084054, https://doi.org/10.1088/1748-9326/ac12f3.
  10. Ghimire, Bardan, et al. “A Global Trait-Based Approach to Estimate Leaf Nitrogen Functional Allocation from Observations”. Ecological Applications, vol. 27, no. 5, 2017, pp. 1421-34, https://doi.org/10.1002/eap.1542.
  11. Zhu, Qing, et al. “A New Theory of Plant-Microbe Nutrient Competition Resolves Inconsistencies Between Observations and Model Predictions”. Ecological Applications, vol. 27, no. 3, 2017, pp. 875-86, https://doi.org/10.1002/eap.1490.
  12. Rogers, Alistair, et al. “A Roadmap for Improving the Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 213, no. 1, 2017, pp. 22-42, https://doi.org/10.1111/nph.14283.
  13. Lewin, Keith F., et al. “A Zero-Power Warming Chamber for Investigating Plant Responses to Rising Temperature”. Biogeosciences, vol. 14, no. 18, 2017, pp. 4071-83, https://doi.org/10.5194/bg-14-4071-2017.
  14. Dou, Shan, et al. “An Effective-Medium Model for P-Wave Velocities of Saturated, Unconsolidated Saline Permafrost”. GEOPHYSICS, vol. 82, no. 3, 2017, https://doi.org/10.1190/geo2016-0474.1.
  15. Nicolsky, Dmitry J., et al. “Applicability of the Ecosystem Type Approach to Model Permafrost Dynamics across the Alaska North Slope”. Journal of Geophysical Research: Earth Surface, vol. 122, no. 1, 2017, pp. 50-75, https://doi.org/10.1002/2016JF003852.
  16. Dafflon, Baptiste, et al. “Coincident Aboveground and Belowground Autonomous Monitoring to Quantify Covariability in Permafrost, Soil, and Vegetation Properties in Arctic Tundra”. Journal of Geophysical Research: Biogeosciences, vol. 122, no. 6, 2017, pp. 1321-42, https://doi.org/10.1002/2016JG003724.
  17. Wang, Kang, et al. “Continuously Amplified Warming in the Alaskan Arctic: Implications for Estimating Global Warming Hiatus”. Geophysical Research Letters, vol. 44, no. 17, 2017, pp. 9029-38, https://doi.org/10.1002/2017GL074232.
  18. Langford, Zachary L., et al. “Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion”. 2017 IEEE International Conference on Data Mining Workshops (ICDMW)2017 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2017, https://doi.org/10.1109/ICDMW.2017.48.
  19. Tran, Anh Phuong, et al. “Coupled Land Surface-Subsurface Hydrogeophysical Inverse Modeling to Estimate Soil Organic Content and Explore Associated Hydrological and Thermal Dynamics in an Arctic Tundra”. The Cryosphere, vol. 11, 2017, pp. 2089-0, https://doi.org/10.5194/tc-11-2089-2017.
  20. Strauss, Jens, et al. “Deep Yedoma Permafrost: A Synthesis of Depositional Characteristics and Carbon Vulnerability”. Earth-Science Reviews, vol. 172, 2017, pp. 75-86, https://doi.org/10.1016/j.earscirev.2017.07.007.