2022
- Bennett, K. E., et al. “Spatial Patterns Of Snow Distribution For Improved Earth System Modelling In The Arctic”. The Cryosphere, 2022.
2021
- Euskirchen, E. S., et al. “Assessing Dynamic Vegetation Model Parameter Uncertainty Across Alaskan Arctic Tundra Plant Communities”. Ecological Applications, 2021.
- Sulman, B. 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, 2021.
- Mekonnen, Z. A., et al. “Topographical Controls On Hillslope‐Scale Hydrology Drive Shrub Distributions On The Seward Peninsula, Alaska”. Journal Of Geophysical Research: Biogeosciences, 2021.
- Ladd, M. P., et al. “Untargeted Exometabolomics Provides A Powerful Approach To Investigate Biogeochemical Hotspots With Vegetation And Polygon Type In Arctic Tundra Soils”. Soil Systems, 2021, p. 10.
2020
- Zhu, Q., 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.
- Iversen, C. M., et al. “Building A Culture Of Safety And Trust In Team Science”. Eos, 2020.
- Lara, M. J., et al. “Local-Scale Arctic Tundra Heterogeneity Affects Regional-Scale Carbon Dynamics”. Nature Communications, 2020.
- Gallagher, R. V., et al. “Open Science Principles For Accelerating Trait-Based Science Across The Tree Of Life”. Nature Ecology & Evolution, 2020, pp. 294 - 303.
- Bergmann, J., et al. “The Fungal Collaboration Gradient Dominates The Root Economics Space In Plants”. Science Advances, 2020.
2019
- Salmon, V. G., et al. “Alder Distribution And Expansion Across A Tundra Hillslope: Implications For Local N Cycling”. Frontiers In Plant Science, 2019.
- Langford, Z. L., et al. “Arctic Vegetation Mapping Using Unsupervised Training Datasets And Convolutional Neural Networks”. Remote Sensing, 2019, p. 69.
- Norby, R. J., et al. “Controls On Fine-Scale Spatial And Temporal Variability Of Plant-Available Inorganic Nitrogen In A Polygonal Tundra Landscape”. Ecosystems, 2019, pp. 528–543.
2016
- Langford, Z. L., et al. “Mapping Arctic Plant Functional Type Distributions In The Barrow Environmental Observatory Using Worldview-2 And Lidar Datasets”. Remote Sensing, 2016, p. 733.
- Kumar, J., et al. “Modeling The Spatiotemporal Variability In Subsurface Thermal Regimes Across A Low-Relief Polygonal Tundra Landscape”. The Cryosphere, 2016, pp. 2241 - 2274.
- Schädel, C., et al. “Potential Carbon Emissions Dominated By Carbon Dioxide From Thawed Permafrost Soils”. Nature Climate Change, 2016, pp. 950 - 953.
- Zhu, Q., et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications For Trait-Based Land Models”. Journal Of Geophysical Research: Biogeosciences, 2016, pp. 3101 - 3112.
- Zhu, Q., et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications For Trait‐Based Land Models”. Journal Of Geophysical Research: Biogeosciences, 2016, pp. 3101 - 3112.
- Walker, D. A., et al. “The Alaska Arctic Vegetation Archive (Ava-Ak)”. Phytocoenologia, 2016, pp. 221 - 229.
2015
- Treat, C. C., et al. “A Pan-Arctic Synthesis Of Methane And Carbon Dioxide Production From Anoxic Soil Incubations”. Global Change Biology, 2015, pp. 2787 - 2803.
- Wullschleger, S. D., et al. “Genomics In A Changing Arctic: Critical Questions Await The Molecular Ecologist”. Molecular Ecology, 2015, pp. 2301 - 2309.
- Heikoop, J. M., et al. “Isotopic Identification Of Soil And Permafrost Nitrate Sources In An Arctic Tundra Ecosystem”. Journal Of Geophysical Research: Biogeosciences, 2015, pp. 1000 - 1017.
- Warren, J. M., et al. “Root Structural And Functional Dynamics In Terrestrial Biosphere Models - Evaluation And Recommendations”. New Phytologist, 2015, pp. 59 - 78.
- Iversen, C. M., et al. “The Unseen Iceberg: Plant Roots In Arctic Tundra”. New Phytologist, 2015, pp. 34 - 58.