Ecology

  • Thomas, H. J. D., et al. “Traditional Plant Functional Groups Explain Variation in Economic But Not size‐related Traits across the Tundra Biome”. Global Ecology and Biogeography, vol. 28, no. 2, 2019, pp. 78-95, https://doi.org/10.1111/geb.12783.
  • Euskirchen, Eugénie S., et al. “Assessing Dynamic Vegetation Model Parameter Uncertainty across Alaskan Arctic Tundra Plant Communities”. Ecological Applications, vol. 32, no. 2, 2022, https://doi.org/10.1002/eap.2499.
  • Yang, Dedi, et al. “Remote Sensing from Unoccupied Aerial Systems: Opportunities to Enhance Arctic Plant Ecology in a Changing Climate”. Journal of Ecology, vol. 110, no. 12, 2022, pp. 2812-35, https://doi.org/10.1111/1365-2745.13976.
  • Sulman, Benjamin N., et al. “Simulated Hydrological Dynamics and Coupled Iron Redox Cycling Impact Methane Production in an Arctic Soil”. Journal of Geophysical Research: Biogeosciences, vol. 127, no. 10, 2022, https://doi.org/10.1029/2021jg006662.
  • Shirley, Ian A., et al. “Near‐Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub‐Arctic Watershed”. Journal of Geophysical Research: Biogeosciences, vol. 127, no. 9, 2022, https://doi.org/10.1029/2022jg006864.
  • Nelson, Peter R., et al. “Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges”. Journal of Geophysical Research: Biogeosciences, vol. 127, no. 2, 2022, https://doi.org/10.1029/2021jg006697.
  • Chang, Kuang‐Yu, et al. “Observational Constraints Reduce Model Spread But Not Uncertainty in Global Wetland Methane Emission Estimates”. Global Change Biology, vol. 29, no. 15, 2023, pp. 4298-12, https://doi.org/10.1111/gcb.16755.
  • Cleveland, Cory C., et al. “Exploring the Role of Cryptic Nitrogen Fixers in Terrestrial Ecosystems: A Frontier in Nitrogen Cycling Research”. Ecosystems, vol. 25, no. 8, 2022, pp. 1653-69, https://doi.org/10.1007/s10021-022-00804-2.