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Last Name

Authors who are active project participants

  • Baptiste Dafflon

    2022

    • Dafflon, Baptiste, et al. “A Distributed Temperature Profiling System for Vertically and Laterally Dense Acquisition of Soil and Snow Temperature”. The Cryosphere, vol. 16, no. 2, 2022, pp. 719-36, https://doi.org/10.5194/tc-16-719-2022.
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    • Arendt, Carli A., et al. “Increased Arctic NO3− Availability As a Hydrogeomorphic Consequence of Permafrost Degradation and Landscape Drying”. Nitrogen, vol. 3, no. 2, 2022, pp. 314-32, https://doi.org/10.3390/nitrogen3020021.
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    • Wielandt, Stijn, et al. “Low-Power, Flexible Sensor Arrays With Solderless Board-to-Board Connectors for Monitoring Soil Deformation and Temperature”. Sensors, vol. 22, no. 7, 2022, p. 2814, https://doi.org/10.3390/s22072814.
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    • Shirley, Ian A., et al. “Rapidly Changing High-Latitude Seasonality: Implications for the 21st Century Carbon Cycle in Alaska”. Environmental Research Letters, vol. 17, no. 1, 2022, p. 014032, https://doi.org/10.1088/1748-9326/ac4362.
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    • Bennett, Katrina E., et al. “Spatial Patterns of Snow Distribution for Improved Earth System Modelling in the Arctic”. The Cryosphere, 2022, https://doi.org/https://doi.org/10.5194/tc-2021-341.
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    2021

    • Uhlemann, Sebastian, et al. “Geophysical Monitoring Shows That Spatial Heterogeneity in Thermohydrological Dynamics Reshapes a Transitional Permafrost System”. Geophysical Research Letters, vol. 48, no. 6, 2021, https://doi.org/10.1029/2020GL091149.
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    • Wainwright, Haruko 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, vol. 10, no. 7, 2021, p. 722, https://doi.org/10.3390/land10070722.
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    2020

    • Jafarov, Elchin 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, vol. 14, no. 1, 2020, pp. 77-91, https://doi.org/10.5194/tc-14-77-2020.
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    • Wales, Nathan A., et al. “Understanding the Relative Importance of Vertical and Horizontal Flow in Ice-Wedge Polygons”. Hydrology and Earth System Sciences, vol. 24, no. 3, 2020, pp. 1109-2, https://doi.org/10.5194/hess-24-1109-2020.
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    2019

    • Léger, Emmanuel, et al. “A Distributed Temperature Profiling Method for Assessing Spatial Variability in Ground Temperatures in a Discontinuous Permafrost Region of Alaska”. The Cryosphere, vol. 13, 2019, pp. 2853-67, https://doi.org/10.5194/tc-13-2853-2019.
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    • Arora, Bhavna, et al. “Evaluating Temporal Controls on Greenhouse Gas (GHG) Fluxes in an Arctic Tundra Environment: An Entropy-Based Approach”. Science of The Total Environment, vol. 649, 2019, pp. 284-99, https://doi.org/10.1016/j.scitotenv.2018.08.251.
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    2018

    • Bisht, Gautam, 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, vol. 11, no. 1, 2018, pp. 61-76, https://doi.org/https://doi.org/10.5194/gmd-11-61-2018.
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    • Tran, Anh Phuong, 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, vol. 561, 2018, pp. 751-63, https://doi.org/10.1016/j.jhydrol.2018.04.028.
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    2017

    • 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.
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    • 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.
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    • Wu, Yuxin, et al. “Electrical and Seismic Response of Saline Permafrost Soil During Freeze - Thaw Transition”. Journal of Applied Geophysics, vol. 146, 2017, pp. 16-26, https://doi.org/10.1016/j.jappgeo.2017.08.008.
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    • Wainwright, Haruko M., et al. “Mapping Snow Depth Within a Tundra Ecosystem Using Multiscale Observations and Bayesian Methods”. The Cryosphere, vol. 11, no. 2, 2017, pp. 857-75, https://doi.org/10.5194/tc-11-857-2017.
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    • Léger, Emmanuel, 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, vol. 10, no. 10, 2017, pp. 4348-59, https://doi.org/10.1109/JSTARS.2017.2694447.
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    2016

    • Dafflon, Baptiste, et al. “Geophysical Estimation of Shallow Permafrost Distribution and Properties in an Ice-Wedge Polygon-Dominated Arctic Tundra Region”. GEOPHYSICS, vol. 81, no. 1, 2016, pp. WA247 - WA263, https://doi.org/10.1190/geo2015-0175.1.
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    • Dafflon, Baptiste, et al. “Quantification of Arctic Soil and Permafrost Properties Using Ground Penetrating Radar”. 2016 16th International Conference on Ground Penetrating Radar (GPR) , 2016, https://doi.org/10.1109/ICGPR.2016.7572663.
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    2015

    • Wainwright, Haruko 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, vol. 120, no. 4, 2015, pp. 788-0, https://doi.org/10.1002/2014JG002799.
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    2014

    • 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, https://doi.org/10.1002/2013WR014283.
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    2013

    • Dafflon, Baptiste, et al. “Electrical Conductivity Imaging of Active Layer and Permafrost in an Arctic Ecosystem, through Advanced Inversion of Electromagnetic Induction Data”. Vadose Zone Journal, vol. 12, no. 4, 2013, https://doi.org/10.2136/vzj2012.0161.
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    • Hubbard, Susan S., et al. “Quantifying and Relating Land-Surface and Subsurface Variability in Permafrost Environments Using LiDAR and Surface Geophysical Datasets”. Hydrogeology Journal, vol. 21, no. 1, 2013, pp. 149-6, https://doi.org/10.1007/s10040-012-0939-y.
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  • Joel C. Rowland

    2021

    • Glade, Rachel C., et al. “Arctic Soil Patterns Analogous to Fluid Instabilities”. Proceedings of the National Academy of Sciences, vol. 118, no. 21, 2021, https://doi.org/10.1073/pnas.2101255118.
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    2017

    • Shelef, Eitan, et al. “Large Uncertainty in Permafrost Carbon Stocks Due to Hillslope Soil Deposits”. Geophysical Research Letters, vol. 44, no. 12, 2017, pp. 6134-4, https://doi.org/10.1002/grl.v44.1210.1002/2017GL073823.
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    2016

    • Harp, Dylan R., et al. “Effect of Soil Property Uncertainties on Permafrost Thaw Projections: A Calibration-Constrained Analysis”. The Cryosphere, vol. 10, no. 1, 2016, pp. 341-58, https://doi.org/10.5194/tc-10-341-201610.5194/tc-10-341-2016-supplement.
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    • Rowland, Joel C., and Ethan T. Coon. “From Documentation to Prediction: How Remote Sensing and Mechanistic Modeling Are Raising the Bar for Thermokarst Research”. Hydrogeology Journal, vol. 24, no. 3, 2016, pp. 645-8, https://doi.org/10.1007/s10040-015-1331-5.
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    2014

    • 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, https://doi.org/10.1002/2013WR014283.
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    • 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, https://doi.org/10.1117/1.JRS.8.084793.
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    2013

    • Skurikhin, Alexei N., et al. “Arctic Tundra Ice-Wedge Landscape Characterization by Active Contours Without Edges and Structural Analysis Using High-Resolution Satellite Imagery”. Remote Sensing Letters, vol. 4, no. 11, 2013, pp. 1077-86, https://doi.org/10.1080/2150704X.2013.840404.
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    • Hubbard, Susan S., et al. “Quantifying and Relating Land-Surface and Subsurface Variability in Permafrost Environments Using LiDAR and Surface Geophysical Datasets”. Hydrogeology Journal, vol. 21, no. 1, 2013, pp. 149-6, https://doi.org/10.1007/s10040-012-0939-y.
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    2012

    • Lewis, K. C., et al. “Drainage Subsidence Associated With Arctic Permafrost Degradation”. Journal of Geophysical Research, vol. 117, no. F4, 2012, https://doi.org/10.1029/2011JF002284.
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    2011

    • Rowland, Joel C., et al. “The Role of Advective Heat Transport in Talik Development Beneath Lakes and Ponds in Discontinuous Permafrost”. Geophysical Research Letters, vol. 38, no. 17, 2011, https://doi.org/10.1029/2011GL048497.
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    2010

    • Rowland, Joel C., et al. “Arctic Landscapes in Transition: Responses to Thawing Permafrost”. Eos, Transactions, American Geophysical Union, vol. 91, no. 26, 2010, p. 229, https://doi.org/10.1029/2010EO260001.
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  • 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.
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    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.
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    • 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.
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    • 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.
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    • 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.
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    • 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.
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    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.
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    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.
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    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.
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  • Margaret S. Torn

    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.
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    • Wainwright, Haruko 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, vol. 10, no. 7, 2021, p. 722, https://doi.org/10.3390/land10070722.
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    • Dengel, Sigrid, et al. “Influence of Tundra Polygon Type and Climate Variability on Carbon Dioxide and Methane Fluxes Near Utqiagvik, Alaska”. Journal of Geophysical Research: Biogeosciences, vol. 126, no. 12, 2021, https://doi.org/10.1029/2021JG006262.
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    • 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.
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    • 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.
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    2020

    • Lehmann, Johannes, et al. “Persistence of Soil Organic Carbon Caused by Functional Complexity”. Nature Geoscience, vol. 13, no. 8, 2020, pp. 529-34, https://doi.org/10.1038/s41561-020-0612-3.
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    2019

    • Arora, Bhavna, et al. “Evaluating Temporal Controls on Greenhouse Gas (GHG) Fluxes in an Arctic Tundra Environment: An Entropy-Based Approach”. Science of The Total Environment, vol. 649, 2019, pp. 284-99, https://doi.org/10.1016/j.scitotenv.2018.08.251.
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    • Wang, Yihui, et al. “Mechanistic Modeling of Microtopographic Impacts on Carbon Dioxide and Methane Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model”. Journal of Advances in Modeling Earth Systems, vol. 11, 2019, p. 17, https://doi.org/10.1029/2019MS001771.
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    • Grant, Robert F., et al. “Modeling Climate Change Impacts on an Arctic Polygonal Tundra: 2. Changes in Carbon Dioxide and Methane Exchange Depend on Rates of Permafrost Thaw As Affected by Changes in Vegetation and Drainage”. Journal of GeophysicalResearch: Biogeosciences, vol. 124, no. 5, 2019, pp. 1323-41, https://doi.org/10.1029/2018JG004645.
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    2018

    • Taş, Neslihan, et al. “Landscape Topography Structures the Soil Microbiome in Arctic Polygonal Tundra”. Nature Communications, vol. 9, no. 1, 2018, https://doi.org/10.1038/s41467-018-03089-z.
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    2017

    • Raz-Yaseef, Naama, et al. “Evapotranspiration across Plant Types and Geomorphological Units in Polygonal Arctic Tundra”. Journal of Hydrology, vol. 553, 2017, pp. 816-25, https://doi.org/10.1016/j.jhydrol.2017.08.036.
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    • Raz-Yaseef, Naama, et al. “Large Carbon Dioxide and Methane Emissions from Polygonal Tundra During Spring Thaw in Northern Alaska”. Geophysical Research Letters, vol. 44, no. 1, 2017, pp. 504-13, https://doi.org/10.1002/2016GL071220.
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    • Grant, Robert F., et al. “Mathematical Modeling of Arctic Polygonal Tundra With Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation”. Journal of Geophysical Research: Biogeosciences, vol. 122, no. 12, 2017, pp. 3161-73, https://doi.org/10.1002/2017JG004035.
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    • Grant, Robert F., et al. “Mathematical Modeling of Arctic Polygonal Tundra With Ecosys: 2. Microtopography Determines How Carbon Dioxide and Methane Exchange Responds to Changes in Temperature and Precipitation”. Journal of Geophysical Research: Biogeosciences, vol. 122, no. 12, 2017, pp. 3174-87, https://doi.org/10.1002/2017JG004037.
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    • Dwivedi, Dipankar, et al. “Mineral Properties, Microbes, Transport, and Plant-Input Profiles Control Vertical Distribution and Age of Soil Carbon Stocks”. Soil Biology and Biochemistry, vol. 107, 2017, pp. 244-59, https://doi.org/10.1016/j.soilbio.2016.12.019.
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    2016

    • Xu, Xiyan, et al. “A Multi-Scale Comparison of Modeled and Observed Seasonal Methane Emissions in Northern Wetlands”. Biogeosciences, vol. 13, no. 17, 2016, pp. 5043-56, https://doi.org/10.5194/bg-13-5043-201610.5194/bg-13-5043-2016-supplement.
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    • Vaughn, Lydia J. S., et al. “Isotopic Insights into Methane Production, Oxidation, and Emissions in Arctic Polygon Tundra”. Global Change Biology, vol. 22, no. 10, 2016, pp. 3487-02, https://doi.org/10.1111/gcb.2016.22.issue-1010.1111/gcb.13281.
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    2015

    • Wainwright, Haruko 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, vol. 120, no. 4, 2015, pp. 788-0, https://doi.org/10.1002/2014JG002799.
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    • Throckmorton, Heather M., et al. “Pathways and Transformations of Dissolved Methane and Dissolved Inorganic Carbon in Arctic Tundra Watersheds: Evidence from Analysis of Stable Isotopes”. Global Biogeochemical Cycles, vol. 29, no. 11, 2015, pp. 1893-10, https://doi.org/10.1002/2014GB005044.
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    2014

    • 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, https://doi.org/10.5194/gmd-7-1335-2014.
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