Publications by Author

Authors who are active project participants

  • Colleen M. Iversen

    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.

    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.
    • 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.
    • 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.
    • Ladd, Mallory P., et al. “Untargeted Exometabolomics Provides a Powerful Approach to Investigate Biogeochemical Hotspots With Vegetation and Polygon Type in Arctic Tundra Soils”. Soil Systems, vol. 5, no. 1, 2021, p. 10, https://doi.org/10.3390/soilsystems5010010.

    2020

    • Zhu, Qing, 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, https://doi.org/10.1029/2019MS001841.
    • 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.
    • Lara, Mark J., et al. “Local-Scale Arctic Tundra Heterogeneity Affects Regional-Scale Carbon Dynamics”. Nature Communications, vol. 11, no. 1, 2020, https://doi.org/10.1038/s41467-020-18768-z.
    • Gallagher, Rachael V., et al. “Open Science Principles for Accelerating Trait-Based Science across the Tree of Life”. Nature Ecology & Evolution, vol. 4, no. 3, 2020, pp. 294-03, https://doi.org/10.1038/s41559-020-1109-6.
    • Bergmann, Joana, et al. “The Fungal Collaboration Gradient Dominates the Root Economics Space in Plants”. Science Advances, vol. 6, no. 27, 2020, https://doi.org/10.1126/sciadv.aba3756.

    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.
    • 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.
    • Norby, Richard J., et al. “Controls on Fine-Scale Spatial and Temporal Variability of Plant-Available Inorganic Nitrogen in a Polygonal Tundra Landscape”. Ecosystems, vol. 22, 2019, pp. 528–543, https://doi.org/10.1007/s10021-018-0285-6.

    2016

    • Langford, Zachary L., et al. “Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets”. Remote Sensing, vol. 8, no. 9, 2016, p. 733, https://doi.org/10.3390/rs8090733.
    • 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.
    • Schädel, Christina, et al. “Potential Carbon Emissions Dominated by Carbon Dioxide from Thawed Permafrost Soils”. Nature Climate Change, vol. 6, no. 10, 2016, pp. 950-3, https://doi.org/10.1038/nclimate3054.
    • Zhu, Qing, et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications for Trait-Based Land Models”. Journal of Geophysical Research: Biogeosciences, vol. 121, no. 12, 2016, pp. 3101-12, https://doi.org/10.1002/2016JG003554.
    • Zhu, Qing, et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications for trait‐based Land Models”. Journal of Geophysical Research: Biogeosciences, vol. 121, no. 12, 2016, pp. 3101-12, https://doi.org/10.1002/2016JG003554.
    • 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.

    2015

    • Treat, Claire C., et al. “A Pan-Arctic Synthesis of Methane and Carbon Dioxide Production from Anoxic Soil Incubations”. Global Change Biology, vol. 21, no. 7, 2015, pp. 2787-03, https://doi.org/10.1111/gcb.12875.
    • 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.
    • Heikoop, Jeffrey Martin, et al. “Isotopic Identification of Soil and Permafrost Nitrate Sources in an Arctic Tundra Ecosystem”. Journal of Geophysical Research: Biogeosciences, vol. 120, no. 6, 2015, pp. 1000-17, https://doi.org/10.1002/2014JG002883.
    • Warren, Jeffery M., et al. “Root Structural and Functional Dynamics in Terrestrial Biosphere Models - Evaluation and Recommendations”. New Phytologist, vol. 205, no. 1, 2015, pp. 59-78, https://doi.org/10.1111/nph.13034.
    • Iversen, Colleen M., et al. “The Unseen Iceberg: Plant Roots in Arctic Tundra”. New Phytologist, vol. 205, no. 1, 2015, pp. 34-58, https://doi.org/10.1111/nph.13003.

    2014

    • Wullschleger, Stan 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, vol. 114, no. 1, 2014, pp. 1-16, https://doi.org/10.1093/aob/mcu077.
  • 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.

    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.
    • 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.

    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.
  • 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.

    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.

    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.
    • 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.

    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.
    • 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.

    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.
    • 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.

    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.

    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.

    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.