Publications

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.

Dou, Shan, and Jonathan B. Ajo-Franklin. “Full-Wavefield Inversion of Surface Waves for Mapping Embedded Low-Velocity Zones in Permafrost”. GEOPHYSICS, vol. 79, no. 6, 2014, pp. EN107 - EN124, https://doi.org/10.1190/geo2013-0427.1.

Rogers, Alistair, et al. “Improving Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 204, no. 1, 2014, pp. 12-14, https://doi.org/10.1111/nph.12972.

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.

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.

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.

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.

Hayes, Daniel J., et al. “The Impacts of Recent Permafrost Thaw on land–atmosphere Greenhouse Gas Exchange”. Environmental Research Letters, vol. 9, no. 4, 2014, p. 045005, https://doi.org/10.1088/1748-9326/9/4/045005.

Jansson, Janet K., and Neslihan Taş. “The Microbial Ecology of Permafrost”. Nature Reviews Microbiology, vol. 12, no. 6, 2014, pp. 414-25, https://doi.org/10.1038/nrmicro3262.

Rogers, Alistair. “The Use and Misuse of Vc,max in Earth System Models”. Photosynthesis Research, vol. 119, no. 1-2, 2014, pp. 15-29, https://doi.org/10.1007/s11120-013-9818-1.

Karra, Satish, et al. “Three-Phase Numerical Model for Subsurface Hydrology in Permafrost-Affected Regions (PFLOTRAN-ICE v1.0)”. The Cryosphere, vol. 8, no. 5, 2014, pp. 1935-50, https://doi.org/10.5194/tc-8-1935-2014.

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.