William J. Riley

Bouskill, Nicholas J., et al. “Microbial Contribution to Post-Fire Tundra Ecosystem Recovery over the 21st Century”. Communications Earth & Environment, vol. 3, no. 1, 2022, https://doi.org/10.1038/s43247-022-00356-2.

Shirley, Ian A., et al. “Rapidly Changing High-Latitude Seasonality: Implications for the 21st Century Carbon Cycle in Alaska”. Environmental Research Letters, vol. 17, no. 1, 2022, p. 014032, https://doi.org/10.1088/1748-9326/ac4362.

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.

Mekonnen, Zelalem A., et al. “Changes in Precipitation and Air Temperature Contribute Comparably to Permafrost Degradation in a Warmer Climate”. Environmental Research Letters, vol. 16, no. 2, 2021, p. 024008, https://doi.org/10.1088/1748-9326/abc444.

Tang, Jinyun Y., et al. “Conceptualizing Biogeochemical Reactions With an Ohm’s Law Analogy”. Journal of Advances in Modeling Earth Systems, vol. 13, no. 10, 2021, https://doi.org/10.1029/2021MS002469.

Chen, Yang, et al. “Future Increases in Arctic Lightning and Fire Risk for Permafrost Carbon”. Nature Climate Change, vol. 11, no. 5, 2021, pp. 404-10, https://doi.org/10.1038/s41558-021-01011-y.

Riley, William J., et al. “Non-Growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition under Future Climate”. Environmental Research Letters, vol. 16, no. 7, 2021, p. 074047, https://doi.org/10.1088/1748-9326/ac0e63.

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.

Bouskill, Nicholas J., et al. “Alaskan Carbon-Climate Feedbacks Will Be Weaker Than Inferred from Short-Term Manipulations”. Nature Communications, vol. 11, 2020, p. 5798, https://doi.org/https://doi.org/10.1038/s41467-020-19574-3.

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.

Chang, Kuang-Yu, et al. “Hysteretic Temperature Sensitivity of Wetland Methane Fluxes Explained by Substrate Availability and Microbial Activity”. Biogeosciences, vol. 17, 2020, pp. 5849-60, https://doi.org/https://doi.org/10.5194/bg-17-5849-2020.

Tang, Jinyun Y., and William J. Riley. “A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration”. Journal of Geophysical Research: Biogeosciences, vol. 124, no. 4, 2019, pp. 918-40, https://doi.org/10.1029/2018JG004779.

Tang, Jinyun Y., and William J. Riley. “Competitor and Substrate Sizes and Diffusion Together Define Enzymatic Depolymerization and Microbial Substrate Uptake Rates”. Soil Biology and Biochemistry, vol. 139, 2019, https://doi.org/10.1016/j.soilbio.2019.107624.

Mekonnen, Zelalem A., et al. “Expansion of High-Latitude Deciduous Forests Driven by Interactions Between Climate Warming and Fire”. Nature Plants, vol. 5, 2019, pp. 952–958, https://doi.org/10.1038/s41477-019-0495-8.

Grant, Robert F., et al. “Modeling Climate Change Impacts on an Arctic Polygonal Tundra: 1. Rates of Permafrost Thaw Depend on Changes in Vegetation and Drainage”. Journal of Geophysical Research: Biogeosciences, vol. 124, no. 5, 2019, pp. 1308-22, https://doi.org/10.1029/2018JG004644.

Grant, Robert F., et al. “Modeling Climate Change Impacts on an Arctic Polygonal Tundra: 2. Changes in Carbon Dioxide and Methane Exchange Depend on Rates of Permafrost Thaw As Affected by Changes in Vegetation and Drainage”. Journal of GeophysicalResearch: Biogeosciences, vol. 124, no. 5, 2019, pp. 1323-41, https://doi.org/10.1029/2018JG004645.

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.

Mekonnen, Zelalem A., et al. “Accelerated Nutrient Cycling and Increased Light Competition Will Lead to 21st Century Shrub Expansion in North American Arctic Tundra”. Journal of Geophysical Research: Biogeosciences, vol. 123, no. 5, 2018, pp. 1683-01, https://doi.org/10.1029/2017JG004319.

Mekonnen, Zelalem A., et al. “Twenty-First Century Tundra Shrubification Could Enhance Net Carbon Uptake of North America Arctic Tundra under an RCP_8.5 Climate Trajectory”. Environmental Research Letters, vol. 13, no. 5, 2018, p. 054029, https://doi.org/10.1088/1748-9326/aabf28.

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.

Grant, Robert F., et al. “Mathematical Modeling of Arctic Polygonal Tundra With Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation”. Journal of Geophysical Research: Biogeosciences, vol. 122, no. 12, 2017, pp. 3161-73, https://doi.org/10.1002/2017JG004035.

Grant, Robert F., et al. “Mathematical Modeling of Arctic Polygonal Tundra With Ecosys: 2. Microtopography Determines How Carbon Dioxide and Methane Exchange Responds to Changes in Temperature and Precipitation”. Journal of Geophysical Research: Biogeosciences, vol. 122, no. 12, 2017, pp. 3174-87, https://doi.org/10.1002/2017JG004037.

Dwivedi, Dipankar, et al. “Mineral Properties, Microbes, Transport, and Plant-Input Profiles Control Vertical Distribution and Age of Soil Carbon Stocks”. Soil Biology and Biochemistry, vol. 107, 2017, pp. 244-59, https://doi.org/10.1016/j.soilbio.2016.12.019.

Maggi, Federico, and William J. Riley. “Near Activation and Differential Activation in Enzymatic Reactions”. International Journal of Chemical Kinetics, vol. 49, no. 5, 2017, pp. 305-18, https://doi.org/10.1002/kin.21076.

Muster, Sina, et al. “PeRL: A circum-Arctic Permafrost Region Pond and lake database”. Earth System Science Data, vol. 9, no. 1, 2017, pp. 317-48, https://doi.org/10.5194/essd-9-317-2017.

Tang, Jinyun Y., and William J. Riley. “SUPECA Kinetics for Scaling Redox Reactions in Networks of Mixed Substrates and Consumers and an Example Application to Aerobic Soil Respiration”. Geoscientific Model Development, vol. 10, no. 9, 2017, pp. 3277-95, https://doi.org/10.5194/gmd-10-3277-201710.5194/gmd-10-3277-2017-supplement.

Liu, Yaning, et al. “A Hybrid Reduced-Order Model of Fine-Resolution Hydrologic Simulations at a Polygonal Tundra Site”. Vadose Zone Journal, vol. 15, no. 2, 2016, https://doi.org/10.2136/vzj2015.05.0068.

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.

Ghimire, Bardan, et al. “Representing Leaf and Root Physiological Traits in CLM Improves Global Carbon and Nitrogen Cycling Predictions”. Journal of Advances in Modeling Earth Systems, vol. 8, no. 2, 2016, pp. 598-13, https://doi.org/10.1002/2015MS000538.

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.

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.

Tang, Jinyun Y., and William J. Riley. “Technical Note: A Generic Law-of-the-Minimum Flux Limiter for Simulating Substrate Limitation in Biogeochemical Models”. Biogeosciences, vol. 13, no. 3, 2016, pp. 723-35, https://doi.org/10.5194/bg-13-723-2016.

Koven, Charles D., et al. “Permafrost carbon−climate Feedback Is Sensitive to Deep Soil Carbon Decomposability But Not Deep Soil Nitrogen Dynamics”. Proceedings of the National Academy of Sciences, 2015, pp. 3752 – 3757, https://doi.org/10.1073/pnas.1415123112.

Lawrence, David M., et al. “Permafrost Thaw and Resulting Soil Moisture Changes Regulate Projected High-Latitude Carbon Dioxide and Methane Emissions”. Environmental Research Letters, vol. 10, no. 9, 2015, https://doi.org/10.1088/1748-9326/10/9/094011.

Maggi, Federico, and William J. Riley. “The Effect of Temperature on the Rate, Affinity, and 15N Fractionation of NO3 − During Biological Denitrification in Soils”. Biogeochemistry, vol. 124, no. 1-3, 2015, pp. 235-53, https://doi.org/10.1007/s10533-015-0095-2.

Tang, Jinyun Y., and William J. Riley. “Weaker Soil carbon–climate Feedbacks Resulting from Microbial and Abiotic Interactions”. Nature Climate Change, vol. 5, no. 1, 2015, pp. 56-60, https://doi.org/10.1038/nclimate2438.

Pau, George Shu Heng, et al. “A Reduced-Order Modeling Approach to Represent Subgrid-Scale Hydrological Dynamics for Land-Surface Simulations: Application in a Polygonal Tundra Landscape”. Geoscientific Model Development, vol. 7, no. 5, 2014, pp. 2091-05, https://doi.org/10.5194/gmd-7-2091-2014.

Riley, William J., and Chaopeng Shen. “Characterizing Coarse-Resolution Watershed Soil Moisture Heterogeneity Using Fine-Scale Simulations and Reduced-Order Models”. Hydrology and Earth System Sciences, vol. 18, no. 7, 2014, pp. 2463-8, https://doi.org/10.5194/hess-18-2463-2014.

Riley, William J., et al. “Long Residence Times of Rapidly Decomposable Soil Organic Matter: Application of a Multi-Phase, Multi-Component, and Vertically Resolved Model (BAMS1) to Soil Carbon Dynamics”. Geoscientific Model Development, vol. 7, no. 4, 2014, pp. 1335-5, https://doi.org/10.5194/gmd-7-1335-2014.

Bouskill, Nicholas J., et al. “Meta-Analysis of High-Latitude Nitrogen-Addition and Warming Studies Implies Ecological Mechanisms Overlooked by Land Models”. Biogeosciences, vol. 11, no. 23, 2014, pp. 6969-83, https://doi.org/10.5194/bg-11-6969-201410.5194/bg-11-6969-2014-supplement.

Tang, Jinyun Y., and William J. Riley. “Technical Note: Simple Formulations and Solutions of the Dual-Phase Diffusive Transport for Biogeochemical Modeling”. Biogeosciences , vol. 11, no. 11, 2014, pp. 3721–3728, https://doi.org/doi.org/10.5194/bg-11-3721-2014.

Tang, Jinyun Y., and William J. Riley. “A Total Quasi-Steady-State Formulation of Substrate Uptake Kinetics in Complex Networks and an Example Application to Microbial Litter Decomposition”. Biogeosciences, vol. 10, no. 12, 2013, pp. 8329-51, https://doi.org/10.5194/bg-10-8329-201310.5194/bg-10-8329-2013-supplement.

Riley, William J. “Using Model Reduction to Predict the Soil-Surface C<sup>18< sup> Carbon Dioxide Flux: An Example of Representing Complex Biogeochemical Dynamics in a Computationally Efficient Manner”. Geoscientific Model Development, vol. 6, no. 2, 2013, pp. 345-52, https://doi.org/10.5194/gmd-6-345-2013.

Bouskill, Nicholas J., et al. “Trait-Based Representation of Biological Nitrification: Model Development, Testing, and Predicted Community Composition”. Frontiers in Microbiology, vol. 3, 2012, https://doi.org/10.3389/fmicb.2012.00364.