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Publications by Author

Last Name

Authors who are active project participants

  • Charles E. Miller

    2021

    • Cawse-Nicholson, Kerry, et al. “NASA’s Surface Biology and Geology Designated Observable: A Perspective on Surface Imaging Algorithms”. Remote Sensing of Environment, vol. 257, 2021, p. 112349, https://doi.org/10.1016/j.rse.2021.112349.
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    2018

    • Parazoo, Nicholas C., et al. “Detecting the Permafrost Carbon Feedback: Talik Formation and Increased Cold-Seasonrespiration As Precursors to Sink-to-Source Transitions”. The Cryosphere Discussions, 2018, pp. 1-44, https://doi.org/10.5194/tc-2017-18910.5194/tc-2017-189-RC110.5194/tc-2017-189-RC210.5194/tc-2017-189-AC110.5194/tc-2017-189-AC2.
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    • Fisher, Joshua B., et al. “Missing Pieces to Modeling the Arctic-Boreal Puzzle”. Environmental Research Letters, vol. 13, no. 2, 2018, p. 020202, https://doi.org/10.1088/1748-9326/aa9d9a.
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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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    • Parazoo, Nicholas C., et al. “Detecting Regional Patterns of Changing CO <sub>2< Sub> Flux in Alaska”. Proceedings of the National Academy of Sciences, vol. 113, no. 28, 2016, pp. 7733-8, https://doi.org/10.1073/pnas.1601085113.
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  • 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.
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    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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    • 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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    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.
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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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  • Peter E. Thornton

    2021

    • 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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    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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    • 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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    • Zheng, Jianqiu, et al. “Modeling Anaerobic Soil Organic Carbon Decomposition in Arctic Polygon Tundra: Insights into Soil Geochemical Influences on Carbon Mineralization”. Biogeosciences, vol. 16, no. 3, 2019, pp. 663-80, https://doi.org/10.5194/bg-16-663-2019.
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    2017

    • Xu, Xiaofeng, et al. “Global Pattern and Controls of Soil Microbial Metabolic Quotient”. Ecological Monographs, vol. 87, no. 3, 2017, pp. 429-41, https://doi.org/10.1002/ecm.1258.
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    2016

    • Tang, Guoping, et al. “Addressing Numerical Challenges in Introducing a Reactive Transport Code into a Land Surface Model: A Biogeochemical Modeling Proof-of-Concept With CLM–PFLOTRAN 1.0”. Geoscientific Model Development, vol. 9, no. 3, 2016, pp. 927-46, https://doi.org/10.5194/gmd-9-927-2016.
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    • Tang, Guoping, et al. “Biogeochemical Model of Carbon Dioxide and Methane Production in Anoxic Arctic Soil Microcosms”. Biogeosciences Discussions, 2016, pp. 1-31, https://doi.org/10.5194/bg-2016-20710.5194/bg-2016-207-supplement10.5194/bg-2016-207-RC110.5194/bg-2016-207-RC210.5194/bg-2016-207-RC310.5194/bg-2016-207-AC110.5194/bg-2016-207-AC2.
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    • Kumar, Jitendra, et al. “Modeling the Spatiotemporal Variability in Subsurface Thermal Regimes across a Low-Relief Polygonal Tundra Landscape”. The Cryosphere, vol. 10, no. 5, 2016, pp. 2241-74, https://doi.org/10.5194/tc-10-2241-2016.
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    • Xu, Xiaofeng, et al. “Reviews and Syntheses: Four Decades of Modeling Methane Cycling in Terrestrial Ecosystems”. Biogeosciences, vol. 13, no. 12, 2016, pp. 3735-5, https://doi.org/10.5194/bg-13-3735-2016.
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    2015

    • Xu, Xiaofeng, et al. “A Microbial Functional Group-Based Module for Simulating Methane Production and Consumption: Application to an Incubated Permafrost Soil”. Journal of Geophysical Research: Biogeosciences, vol. 120, no. 7, 2015, pp. 1315-33, https://doi.org/10.1002/2015JG002935.
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    • Wullschleger, Stan D., et al. “Leaf Respiration (GlobResp) - Global Trait Database Supports Earth System Models”. New Phytologist, vol. 206, no. 2, 2015, pp. 483-5, https://doi.org/10.1111/nph.13364.
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