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Publications by Author

Last Name

Authors who are active project participants

  • W. Robert Bolton

    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 .
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    2022

    • 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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    2020

    • Iversen, Colleen M., et al. “Building a Culture of Safety and Trust in Team Science”. Eos, vol. 101, 2020, https://doi.org/10.1029/2020EO143064.
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    • 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.
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    2015

    • Lara, Mark J., et al. “Polygonal Tundra Geomorphological Change in Response to Warming Alters Future CO2 and CH4 Flux on the Barrow Peninsula”. Global Change Biology, vol. 21, no. 4, 2015, pp. 1634-51, https://doi.org/10.1111/gcb.12757.
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  • 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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  • Alistair Rogers

    2022

    • Lamour, Julien, et al. “New Calculations for Photosynthesis Measurement Systems: What’s the Impact for Physiologists and Modelers?”. New Phytologist, vol. 233, no. 2, 2022, pp. 592-8, https://doi.org/https://doi.org/10.1111/nph.17762.
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    • Rogers, Alistair, et al. “Reducing Model Uncertainty of Climate Change Impacts on High Latitude Carbon Assimilation”. Global Change Biology, vol. 28, no. 4, 2022, pp. 1222-47, https://doi.org/https://doi.org/10.1111/gcb.15958 .
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    2021

    • Burnett, Angela C., et al. “A Best-Practice Guide to Predicting Plant Traits from Leaf-Level Hyperspectral Data Using Partial Least Squares Regression”. Journal of Experimental Botany, vol. 72, no. 18, 2021, pp. 6175-89, https://doi.org/10.1093/jxb/erab295.
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    • Ely, Kim S., et al. “A Reporting Format for Leaf-Level Gas Exchange Data and Metadata”. Ecological Informatics, vol. 61, 2021, p. 101232, https://doi.org/10.1016/j.ecoinf.2021.101232.
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    • 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.
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    2020

    • Iversen, Colleen M., et al. “Building a Culture of Safety and Trust in Team Science”. Eos, vol. 101, 2020, https://doi.org/10.1029/2020EO143064.
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    2019

    • Serbin, Shawn P., et al. “From the Arctic to the Tropics: Multibiome Prediction of Leaf Mass Per Area Using Leaf Reflectance”. New Phytologist, vol. 224, 2019, pp. 1557-68, https://doi.org/10.1111/nph.16123.
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    • Kumarathunge, Dushan P., et al. “No Evidence for Triose Phosphate Limitation of light‐saturated Leaf Photosynthesis under Current Atmospheric Carbon Dioxide Concentration”. Plant, Cell & Environment, vol. 42, no. 12, 2019, pp. 3241-52, https://doi.org/10.1111/pce.13639.
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    • Rogers, Alistair, et al. “Terrestrial Biosphere Models May Overestimate Arctic Carbon Dioxide Assimilation If They Do Not Account for Decreased Quantum Yield and Convexity at Low Temperature”. New Phytologist, vol. 223, no. 223, 2019, pp. 167-79, https://doi.org/10.1111/nph.15750.
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    • Burnett, Angela C., et al. “The ‘one‐point method’ for Estimating Maximum Carboxylation Capacity of Photosynthesis: A Cautionary Tale”. Plant, Cell & Environment, vol. 42, no. 8, 2019, pp. 2472-81, https://doi.org/10.1111/pce.13574.
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    2018

    • Lombardozzi, Danica L., et al. “Triose Phosphate Limitation in Photosynthesis Models Reduces Leaf Photosynthesis and Global Terrestrial Carbon Storage”. Environmental Research Letters, vol. 13, no. 7, 2018, p. 074025, https://doi.org/10.1088/1748-9326/aacf68.
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    2017

    • 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.
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    • 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.
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    • 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.
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    • Rogers, Alistair, et al. “Terrestrial Biosphere Models Underestimate Photosynthetic Capacity and Carbon Dioxide Assimilation in the Arctic”. New Phytologist, vol. 216: 1090-1103, no. 4, 2017, pp. 1090-03, https://doi.org/10.1111/nph.14740.
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    2016

    • Ali, Ashehad A., et al. “A Global Scale Mechanistic Model of Photosynthetic Capacity (LUNA V1.0)”. Geoscientific Model Development, vol. 9, no. 2, 2016, pp. 587-06, https://doi.org/10.5194/gmd-9-587-201610.5194/gmd-9-587-2016-supplement.
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    • De Kauwe, Martin G., et al. “A Test of the ‘one-Point method’ for Estimating Maximum Carboxylation Capacity from Field-Measured, Light-Saturated Photosynthesis”. New Phytologist, no. 3, 2016, pp. 1130-44, https://doi.org/10.1111/nph.13815.
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    2015

    • Ali, Ashehad A., et al. “Global-Scale Environmental Control of Plant Photosynthetic Capacity”. Ecological Applications, vol. 25, no. 8, 2015, pp. 2349-65, https://doi.org/10.1890/14-2111.110.1890/14-2111.1.sm.
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    • Lin, Yan-Shih, et al. “Optimal Stomatal Behaviour Around the World”. Nature Climate Change, vol. 5, no. 5, 2015, pp. 459-64, https://doi.org/10.1038/nclimate2550.
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    2014

    • Rogers, Alistair, et al. “Improving Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 204, no. 1, 2014, pp. 12-14, https://doi.org/10.1111/nph.12972.
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    • Rogers, Alistair. “The Use and Misuse of Vc,max in Earth System Models”. Photosynthesis Research, vol. 119, no. 1-2, 2014, pp. 15-29, https://doi.org/10.1007/s11120-013-9818-1.
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