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Publications by Author

Last Name

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 .
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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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    • 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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    • 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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    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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    • 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.
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    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.
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    • 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.
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    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.
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  • Philip Marsh

    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.
      Details

    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.
      Details
    • 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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