Publications

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.

Garayshin, V.V., et al. “Numerical Modeling of Two-Dimensional Temperature Field Dynamics across Non-Deforming Ice-Wedge Polygons”. Cold Regions Science and Technology, vol. 161, 2019, pp. 115-28, https://doi.org/10.1016/j.coldregions.2018.12.004.

Vaughn, Lydia J. S. “Radiocarbon Evidence That Millennial and Fast-Cycling Soil Carbon Are Equally Sensitive to Warming”. Nature Climate Change, vol. 9, no. 6, 2019, pp. 467-71, https://doi.org/10.1038/s41558-019-0468-y.

Gu, Xueying, et al. “Saturated Nitrous Oxide Emission Rates Occur above the Nitrogen Deposition Level Predicted for the Semi-Arid Grasslands of Inner Mongolia, China”. Geoderma, vol. 341, 2019, pp. 18-25, https://doi.org/10.1016/j.geoderma.2019.01.002.

Muster, Sina, et al. “Size Distributions of Arctic Waterbodies Reveal Consistent Relations in Their Statistical Moments in Space and Time”. Frontiers in Earth Science, vol. 7, 2019, https://doi.org/10.3389/feart.2019.00005.

Yang, Ziming, et al. “Temperature Sensitivity of Mineral-Enzyme Interactions on the Hydrolysis of Cellobiose and Indican by Beta-Glucosidase”. Science of The Total Environment, vol. 686, 2019, pp. 1194-01, https://doi.org/10.1016/j.scitotenv.2019.05.479.

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.

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.

Thomas, H. J. D., et al. “Traditional Plant Functional Groups Explain Variation in Economic But Not size‐related Traits across the Tundra Biome”. Global Ecology and Biogeography, vol. 28, no. 2, 2019, pp. 78-95, https://doi.org/10.1111/geb.12783.

Reuss-Schmidt, Kassandra, et al. “Understanding Spatial Variability of Methane Fluxes in Arctic Wetlands through Footprint Modelling”. Environmental Research Letters, vol. 14, no. 12, 2019, p. 125010, https://doi.org/10.1088/1748-9326/ab4d32.

Bennett, Katrina E., et al. “Using MODIS Estimates of Fractional Snow Cover Area to Improve Streamflow Forecasts in Interior Alaska”. Hydrology and Earth System Sciences, vol. 23, no. 5, 2019, pp. 2439-5, https://doi.org/10.5194/hess-23-2439-2019.

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.

Zhu, Qing, et al. “A New Theory of Plant-Microbe Nutrient Competition Resolves Inconsistencies Between Observations and Model Predictions”. Ecological Applications, vol. 27, no. 3, 2017, pp. 875-86, https://doi.org/10.1002/eap.1490.

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.

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.

Dou, Shan, et al. “An Effective-Medium Model for P-Wave Velocities of Saturated, Unconsolidated Saline Permafrost”. GEOPHYSICS, vol. 82, no. 3, 2017, https://doi.org/10.1190/geo2016-0474.1.

Nicolsky, Dmitry J., et al. “Applicability of the Ecosystem Type Approach to Model Permafrost Dynamics across the Alaska North Slope”. Journal of Geophysical Research: Earth Surface, vol. 122, no. 1, 2017, pp. 50-75, https://doi.org/10.1002/2016JF003852.

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.

Wang, Kang, et al. “Continuously Amplified Warming in the Alaskan Arctic: Implications for Estimating Global Warming Hiatus”. Geophysical Research Letters, vol. 44, no. 17, 2017, pp. 9029-38, https://doi.org/10.1002/2017GL074232.

Langford, Zachary L., et al. “Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion”. 2017 IEEE International Conference on Data Mining Workshops (ICDMW)2017 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2017, https://doi.org/10.1109/ICDMW.2017.48.