Publications by Author

Authors who are active project participants

  • Baptiste Dafflon

    2022

    • Dafflon, B., et al. “A Distributed Temperature Profiling System For Vertically And Laterally Dense Acquisition Of Soil And Snow Temperature”. The Cryosphere, 2022, pp. 719 - 736.
    • Arendt, C. A., et al. “Increased Arctic No3− Availability As A Hydrogeomorphic Consequence Of Permafrost Degradation And Landscape Drying”. Nitrogen, 2022, pp. 314 - 332.
    • Wielandt, S., et al. “Low-Power, Flexible Sensor Arrays With Solderless Board-To-Board Connectors For Monitoring Soil Deformation And Temperature”. Sensors, 2022, p. 2814.
    • Shirley, I. A., et al. “Rapidly Changing High-Latitude Seasonality: Implications For The 21St Century Carbon Cycle In Alaska”. Environmental Research Letters, 2022, p. 014032.
    • Bennett, K. E., et al. “Spatial Patterns Of Snow Distribution For Improved Earth System Modelling In The Arctic”. The Cryosphere, 2022.

    2021

    • Uhlemann, S., et al. “Geophysical Monitoring Shows That Spatial Heterogeneity In Thermohydrological Dynamics Reshapes A Transitional Permafrost System”. Geophysical Research Letters, 2021.
    • Wainwright, H. M., et al. “High-Resolution Spatio-Temporal Estimation Of Net Ecosystem Exchange In Ice-Wedge Polygon Tundra Using In Situ Sensors And Remote Sensing Data”. Land, 2021, p. 722.

    2020

    • Jafarov, E. E., et al. “Estimation Of Subsurface Porosities And Thermal Conductivities Of Polygonal Tundra By Coupled Inversion Of Electrical Resistivity, Temperature, And Moisture Content Data”. The Cryosphere, 2020, pp. 77 - 91.
    • Wales, N. A., et al. “Understanding The Relative Importance Of Vertical And Horizontal Flow In Ice-Wedge Polygons”. Hydrology And Earth System Sciences, 2020, pp. 1109-1129.

    2019

    • Léger, E., et al. “A Distributed Temperature Profiling Method For Assessing Spatial Variability In Ground Temperatures In A Discontinuous Permafrost Region Of Alaska”. The Cryosphere, 2019, pp. 2853-2867.
    • Arora, B., et al. “Evaluating Temporal Controls On Greenhouse Gas (Ghg) Fluxes In An Arctic Tundra Environment: An Entropy-Based Approach”. Science Of The Total Environment, 2019, pp. 284 - 299.

    2018

    • Bisht, G., et al. “Impacts Of Microtopographic Snow Redistribution And Lateral Subsurface Processes On Hydrologic And Thermal States In An Arctic Polygonal Ground Ecosystem: A Case Study Using Elm-3D V1.0”. Geoscientific Model Development, 2018, pp. 61-76.
    • Tran, A. P., et al. “Spatial And Temporal Variations Of Thaw Layer Thickness And Its Controlling Factors Identified Using Time-Lapse Electrical Resistivity Tomography And Hydro-Thermal Modeling”. Journal Of Hydrology, 2018, pp. 751-763.

    2017

    • Dafflon, B., 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, 2017, pp. 1321-1342.
    • Tran, A. P., 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, 2017, pp. 2089-2109.
    • Wu, Y., et al. “Electrical And Seismic Response Of Saline Permafrost Soil During Freeze - Thaw Transition”. Journal Of Applied Geophysics, 2017, pp. 16-26.
    • Wainwright, H. M., et al. “Mapping Snow Depth Within A Tundra Ecosystem Using Multiscale Observations And Bayesian Methods”. The Cryosphere, 2017, pp. 857 - 875.
    • Léger, E., et al. “Quantification Of Arctic Soil And Permafrost Properties Using Ground-Penetrating Radar And Electrical Resistivity Tomography Datasets”. Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 2017, pp. 4348 - 4359.

    2016

    • Dafflon, B., et al. “Geophysical Estimation Of Shallow Permafrost Distribution And Properties In An Ice-Wedge Polygon-Dominated Arctic Tundra Region”. Geophysics, 2016, pp. WA247 - WA263.
    • Dafflon, B., et al. “Quantification Of Arctic Soil And Permafrost Properties Using Ground Penetrating Radar”. 2016 16Th International Conference On Ground Penetrating Radar (Gpr) , 2016.

    2015

    • Wainwright, H. M., et al. “Identifying Multiscale Zonation And Assessing The Relative Importance Of Polygon Geomorphology On Carbon Fluxes In An Arctic Tundra Ecosystem”. Journal Of Geophysical Research: Biogeosciences, 2015, pp. 788 - 808.

    2014

    • Gangodagamage, C., et al. “Extrapolating Active Layer Thickness Measurements Across Arctic Polygonal Terrain Using Lidar And Ndvi Data Sets”. Water Resources Research, 2014, pp. 6339 - 6357.

    2013

    • Dafflon, B., et al. “Electrical Conductivity Imaging Of Active Layer And Permafrost In An Arctic Ecosystem, Through Advanced Inversion Of Electromagnetic Induction Data”. Vadose Zone Journal, 2013.
    • Hubbard, S. S., et al. “Quantifying And Relating Land-Surface And Subsurface Variability In Permafrost Environments Using Lidar And Surface Geophysical Datasets”. Hydrogeology Journal, 2013, pp. 149 - 169.
  • Colleen M. Iversen

    2022

    • Bennett, K. E., et al. “Spatial Patterns Of Snow Distribution For Improved Earth System Modelling In The Arctic”. The Cryosphere, 2022.

    2021

    • Euskirchen, E. S., et al. “Assessing Dynamic Vegetation Model Parameter Uncertainty Across Alaskan Arctic Tundra Plant Communities”. Ecological Applications, 2021.
    • Sulman, B. 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, 2021.
    • Mekonnen, Z. A., et al. “Topographical Controls On Hillslope‐Scale Hydrology Drive Shrub Distributions On The Seward Peninsula, Alaska”. Journal Of Geophysical Research: Biogeosciences, 2021.
    • Ladd, M. P., et al. “Untargeted Exometabolomics Provides A Powerful Approach To Investigate Biogeochemical Hotspots With Vegetation And Polygon Type In Arctic Tundra Soils”. Soil Systems, 2021, p. 10.

    2020

    • Zhu, Q., et al. “Assessing Impacts Of Plant Stoichiometric Traits On Terrestrial Ecosystem Carbon Accumulation Using The E3Sm Land Model”. Journal Of Advances In Modeling Earth Systems, 2020.
    • Iversen, C. M., et al. “Building A Culture Of Safety And Trust In Team Science”. Eos, 2020.
    • Lara, M. J., et al. “Local-Scale Arctic Tundra Heterogeneity Affects Regional-Scale Carbon Dynamics”. Nature Communications, 2020.
    • Gallagher, R. V., et al. “Open Science Principles For Accelerating Trait-Based Science Across The Tree Of Life”. Nature Ecology & Evolution, 2020, pp. 294 - 303.
    • Bergmann, J., et al. “The Fungal Collaboration Gradient Dominates The Root Economics Space In Plants”. Science Advances, 2020.

    2019

    • Salmon, V. G., et al. “Alder Distribution And Expansion Across A Tundra Hillslope: Implications For Local N Cycling”. Frontiers In Plant Science, 2019.
    • Langford, Z. L., et al. “Arctic Vegetation Mapping Using Unsupervised Training Datasets And Convolutional Neural Networks”. Remote Sensing, 2019, p. 69.
    • Norby, R. J., et al. “Controls On Fine-Scale Spatial And Temporal Variability Of Plant-Available Inorganic Nitrogen In A Polygonal Tundra Landscape”. Ecosystems, 2019, pp. 528–543.

    2016

    • Langford, Z. L., et al. “Mapping Arctic Plant Functional Type Distributions In The Barrow Environmental Observatory Using Worldview-2 And Lidar Datasets”. Remote Sensing, 2016, p. 733.
    • Kumar, J., et al. “Modeling The Spatiotemporal Variability In Subsurface Thermal Regimes Across A Low-Relief Polygonal Tundra Landscape”. The Cryosphere, 2016, pp. 2241 - 2274.
    • Schädel, C., et al. “Potential Carbon Emissions Dominated By Carbon Dioxide From Thawed Permafrost Soils”. Nature Climate Change, 2016, pp. 950 - 953.
    • Zhu, Q., et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications For Trait-Based Land Models”. Journal Of Geophysical Research: Biogeosciences, 2016, pp. 3101 - 3112.
    • Zhu, Q., et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications For Trait‐Based Land Models”. Journal Of Geophysical Research: Biogeosciences, 2016, pp. 3101 - 3112.
    • Walker, D. A., et al. “The Alaska Arctic Vegetation Archive (Ava-Ak)”. Phytocoenologia, 2016, pp. 221 - 229.

    2015

    • Treat, C. C., et al. “A Pan-Arctic Synthesis Of Methane And Carbon Dioxide Production From Anoxic Soil Incubations”. Global Change Biology, 2015, pp. 2787 - 2803.
    • Wullschleger, S. D., et al. “Genomics In A Changing Arctic: Critical Questions Await The Molecular Ecologist”. Molecular Ecology, 2015, pp. 2301 - 2309.
    • Heikoop, J. M., et al. “Isotopic Identification Of Soil And Permafrost Nitrate Sources In An Arctic Tundra Ecosystem”. Journal Of Geophysical Research: Biogeosciences, 2015, pp. 1000 - 1017.
    • Warren, J. M., et al. “Root Structural And Functional Dynamics In Terrestrial Biosphere Models - Evaluation And Recommendations”. New Phytologist, 2015, pp. 59 - 78.
    • Iversen, C. M., et al. “The Unseen Iceberg: Plant Roots In Arctic Tundra”. New Phytologist, 2015, pp. 34 - 58.

    2014

    • Wullschleger, S. D., et al. “Plant Functional Types In Earth System Models: Past Experiences And Future Directions For Application Of Dynamic Vegetation Models In High-Latitude Ecosystems”. Annals Of Botany, 2014, pp. 1 - 16.