Publications by Author

Authors who are active project participants

  • Amy L. Breen

    2024

    • Wang, Chen, et al. “Local-Scale Heterogeneity of Soil Thermal Dynamics and Controlling Factors in a Discontinuous Permafrost Region”. Environmental Research Letters, vol. 19, 2024, https://doi.org/10.1088/1748-9326/ad27bb .

    2021

    • Mekonnen, Zelalem A., et al. “Arctic Tundra Shrubification: A Review of Mechanisms and Impacts on Ecosystem Carbon Balance”. Environmental Research Letters, vol. 16, no. 5, 2021, p. 053001, https://doi.org/10.1088/1748-9326/abf28b.
    • Sulman, Benjamin N., et al. “Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations”. Journal of Advances in Modeling Earth Systems, vol. 13, no. 4, 2021, https://doi.org/10.1029/2020MS002396.
    • Yang, Dedi, et al. “Landscape-Scale Characterization of Arctic Tundra Vegetation Composition, Structure, and Function With a Multi-Sensor Unoccupied Aerial System”. Environmental Research Letters, vol. 16, no. 8, 2021, p. 085005, https://doi.org/10.1088/1748-9326/ac1291.
    • 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.
    • 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.

    2020

    • Yang, Dedi, et al. “A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra”. Remote Sensing, vol. 12, no. 16, 2020, p. 2638, https://doi.org/10.3390/rs12162638.
    • Euskirchen, Eugénie S., et al. “Co‐producing Knowledge: The Integrated Ecosystem Model for Resource Management in Arctic Alaska”. Frontiers in Ecology and the Environment, vol. 18, no. 1, 2020, pp. 447-55, https://doi.org/10.1002/fee.2176.

    2019

    • Salmon, Verity G., et al. “Alder Distribution and Expansion across a Tundra Hillslope: Implications for Local N Cycling”. Frontiers in Plant Science, vol. 10, 2019, https://doi.org/10.3389/fpls.2019.01099.
    • Langford, Zachary L., et al. “Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks”. Remote Sensing, vol. 11, no. 1, 2019, p. 69, https://doi.org/10.3390/rs11010069.

    2016

    • Euskirchen, Eugénie S., et al. “Consequences of Changes in Vegetation and Snow Cover for Climate Feedbacks in Alaska and Northwest Canada”. Environmental Research Letters, vol. 11, no. 10, 2016, https://doi.org/10.1088/1748-9326/11/10/105003.
    • 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.

    2015

    • Wullschleger, Stan D., et al. “Genomics in a Changing Arctic: Critical Questions Await the Molecular Ecologist”. Molecular Ecology, vol. 24, no. 10, 2015, pp. 2301-9, https://doi.org/10.1111/mec.13166.
  • Isla H. Myers-Smith

    2022

    • Curasi, Salvatore R., et al. “Range Shifts in a Foundation Sedge Potentially Induce Large Arctic Ecosystem Carbon Losses and Gains”. Environmental Research Letters, vol. 17, no. 4, 2022, p. 045024, https://doi.org/10.1088/1748-9326/ac6005.

    2021

    • Mekonnen, Zelalem A., et al. “Arctic Tundra Shrubification: A Review of Mechanisms and Impacts on Ecosystem Carbon Balance”. Environmental Research Letters, vol. 16, no. 5, 2021, p. 053001, https://doi.org/10.1088/1748-9326/abf28b.
    • 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.

    2017

    • Walker, Anthony P., et al. “Trait Covariance: The Functional Warp of Plant Diversity?”. New Phytologist, vol. 216, no. 4, 2017, pp. 976-80, https://doi.org/10.1111/nph.14853.
  • Verity G. Salmon

    2022

    • McCaully, Rachel E., et al. “High Temporal and Spatial Variability of Nitrate on an Alaskan Hillslope Dominated by Alder Shrubs”. The Cryosphere, 2022, https://doi.org/10.5194/tc-2021-166.

    2021

    • Euskirchen, Eugénie S., et al. “Assessing Dynamic Vegetation Model Parameter Uncertainty across Alaskan Arctic Tundra Plant Communities”. Ecological Applications, 2021, https://doi.org/10.1002/eap.2499.
    • Sulman, Benjamin N., et al. “Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations”. Journal of Advances in Modeling Earth Systems, vol. 13, no. 4, 2021, https://doi.org/10.1029/2020MS002396.
    • Yang, Dedi, et al. “Landscape-Scale Characterization of Arctic Tundra Vegetation Composition, Structure, and Function With a Multi-Sensor Unoccupied Aerial System”. Environmental Research Letters, vol. 16, no. 8, 2021, p. 085005, https://doi.org/10.1088/1748-9326/ac1291.
    • 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.
    • 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.

    2020

    • Yang, Dedi, et al. “A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra”. Remote Sensing, vol. 12, no. 16, 2020, p. 2638, https://doi.org/10.3390/rs12162638.

    2019

    • Salmon, Verity G., et al. “Alder Distribution and Expansion across a Tundra Hillslope: Implications for Local N Cycling”. Frontiers in Plant Science, vol. 10, 2019, https://doi.org/10.3389/fpls.2019.01099.

    2017

    • Mauritz, Marguerite, et al. “Nonlinear Carbon Dioxide Flux Response to 7 years of Experimentally Induced Permafrost Thaw”. Global Change Biology, no. 23, 2017, pp. 3646–3666, https://doi.org/10.1111/gcb.13661.