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.
Publications
Displaying 21 - 38 of 38
By year of publication, then alphabetical by title
- Lara, Mark J., et al. “Polygonal Tundra Geomorphological Change in Response to Warming Alters Future Carbon Dioxide and Methane Flux on the Barrow Peninsula”. Global Change Biology, vol. 21, 2015, pp. 1634-51, https://doi.org/10.1111/gcb.12757.
- 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.
- Weston, David J., et al. “Sphagnum Physiology in the Context of Changing Climate: Emergent Influences of Genomics, Modelling and Host-Microbiome Interactions on Understanding Ecosystem Function”. Plant, Cell & Environment, vol. 38, no. 9, 2015, pp. 1737-51, https://doi.org/10.1111/pce.12458.
- RoyChowdhury, Taniya, et al. “Stoichiometry and Temperature Sensitivity of Methanogenesis and CO<sub>2< Sub> Production from Saturated Polygonal Tundra in Barrow, Alaska”. Global Change Biology, vol. 21, no. 2, 2015, pp. 722-37, https://doi.org/10.1111/gcb.12762.
- 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.
- 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.
- Devarakonda, Ranjeet, et al. “Use of a Metadata Documentation and Search Tool for Large Data Volumes: The NGEE Arctic Example”. 2015 IEEE International Conference on Big Data (Big Data), 2015, https://doi.org/10.1109/BigData.2015.7364086.
- Atchley, Adam L., et al. “Using Field Observations to Inform Thermal Hydrology Models of Permafrost Dynamics With ATS (v0.83)”. Geoscientific Model Development, vol. 8, no. 9, 2015, pp. 2701-22, https://doi.org/10.5194/gmd-8-2701-2015.
- 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.
- Bohn, Theodore J., et al. “WETCHIMP-WSL: Intercomparison of Wetland Methane Emissions Models over West Siberia”. Biogeosciences, vol. 12, no. 11, 2015, pp. 3321-49, https://doi.org/https://doi.org/10.5194/bg-12-3321-2015.
- McGuire, David, et al. “An Assessment of the Carbon Balance of Arctic Tundra: Comparisons Among Observations, Process Models, and Atmospheric Inversions”. Biogeosciences, vol. 9, no. 8, 2012, pp. 3185-04, https://doi.org/10.5194/bg-9-3185-201210.5194/bg-9-3185-2012-supplement.
- 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.
- Lee, Hanna, et al. “Enhancing Terrestrial Ecosystem Sciences by Integrating Empirical Modeling Approaches”. Eos, Transactions, American Geophysical Union, vol. 93, no. 25, 2012, pp. 237-, https://doi.org/10.1029/2012EO250008.
- McCarthy, Heather R., et al. “Integrating Empirical-Modeling Approaches to Improve Understanding of Terrestrial Ecology Processes”. New Phytologist, vol. 195, no. 3, 2012, pp. 523-5, https://doi.org/10.1111/j.1469-8137.2012.04222.x.
- Graham, David E., et al. “Microbes in Thawing Permafrost: The Unknown Variable in the Climate Change Equation”. The ISME Journal, vol. 6, no. 4, 2012, pp. 709-12, https://doi.org/10.1038/ismej.2011.163.
- Xu, Chonggang, et al. “Toward a Mechanistic Modeling of Nitrogen Limitation on Vegetation Dynamics”. PLOS ONE, vol. 7, no. 5, 2012, p. e37914, https://doi.org/10.1371/journal.pone.0037914.
- 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.