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National Aeronautics and Space Administration

NASA's Arctic-Boreal Vulnerability Experiment


ABoVE Publications
17 ABoVE Projects have provided publications.
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  • Acknowledgements - Each publication or presentation arising from participation in ABoVE should acknowledge all organizations that provided funding, data, and/or logistical support. ABoVE investigators should also include an acknowledgement in each publication or presentation arising from participation in ABoVE. The wording shall be similar to the following: 'This study was part of the Arctic-Boreal Vulnerability Experiment'. Upon publication of results, investigators should send the CCE Office an electronic copy of the publication. (section 9 of ABoVE Data Policy)

Hebblewhite, M. 2017. Billion dollar boreal woodland caribou and the biodiversity impacts of the global oil and gas industry. Biological Conservation. 206, 102-111. DOI: 10.1016/j.biocon.2016.12.014
Gurarie, E., Cagnacci, F., Peters, W., Fleming, C. H., Calabrese, J. M., Mueller, T., Fagan, W. F. 2017. A framework for modelling range shifts and migrations: asking when, whither, whether and will it return. Journal of Animal Ecology. 86(4), 943-959. DOI: 10.1111/1365-2656.12674
Gurarie, E., Fleming, C. H., Fagan, W. F., Laidre, K. L., Hernandez-Pliego, J., Ovaskainen, O. 2017. Correlated velocity models as a fundamental unit of animal movement: synthesis and applications. Movement Ecology. 5(1). DOI: 10.1186/s40462-017-0103-3
Weinzierl, R., Bohrer, G., Kranstauber, B., Fiedler, W., Wikelski, M., Flack, A. 2016. Wind estimation based on thermal soaring of birds. Ecology and Evolution. 6(24), 8706-8718. DOI: 10.1002/ece3.2585
Sherub, S., Bohrer, G., Wikelski, M., Weinzierl, R. 2016. Behavioural adaptations to flight into thin air. Biology Letters. 12(10), 20160432. DOI: 10.1098/rsbl.2016.0432

Carroll, M., Wooten, M., DiMiceli, C., Sohlberg, R., Kelly, M. 2016. Quantifying Surface Water Dynamics at 30 Meter Spatial Resolution in the North American High Northern Latitudes 1991-2011. Remote Sensing. 8(8), 622. DOI: 10.3390/rs8080622

Samsonov, S. V., Lantz, T. C., Kokelj, S. V., Zhang, Y. 2016. Growth of a young pingo in the Canadian Arctic observed by RADARSAT-2 interferometric satellite radar. The Cryosphere. 10(2), 799-810. DOI: 10.5194/tc-10-799-2016
Fraser, R. H., Olthof, I., Lantz, T. C., Schmitt, C. 2016. UAV photogrammetry for mapping vegetation in the low-Arctic. Arctic Science. 2(3), 79-102. DOI: 10.1139/as-2016-0008
Chen, W., Zorn, P., White, L., Olthof, I., Zhang, Y., Fraser, R., Leblanc, S. 2016. Decoupling between Plant Productivity and Growing Season Length under a Warming Climate in Canada's Arctic. American Journal of Climate Change. 05(03), 334-359. DOI: 10.4236/ajcc.2016.53026

Duchesne, R. R., Chopping, M. J., Tape, K. D. 2015. Capability of the CANAPI algorithm to derive shrub structural parameters from satellite imagery in the Alaskan Arctic. Polar Record. 52(02), 124-133. DOI: 10.1017/S0032247415000509
Duchesne, R.R., M.J. Chopping, and K.D. Tape. 2015. NACP Woody Vegetation Characteristics of 1,039 Sites across the North Slope, Alaska. Data set. Available online [http://daac/] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA. [data set]. Available at DOI: 10.3334/ORNLDAAC/1270

Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. DOI: 10.1016/j.rse.2016.12.004
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. DOI: 10.1002/wics.1383
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. DOI: 10.1007/s10584-016-1722-1

Eitel, J. U., Hofle, B., Vierling, L. A., Abellan, A., Asner, G. P., Deems, J. S., Glennie, C. L., Joerg, P. C., LeWinter, A. L., Magney, T. S., Mandlburger, G., Morton, D. C., Muller, J., Vierling, K. T. 2016. Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences. Remote Sensing of Environment. 186, 372-392. DOI: 10.1016/j.rse.2016.08.018

Bhatt, U. S., Walker, D. A., Raynolds, M. K., Bieniek, P. A., Epstein, H. E., Comiso, J. C., Pinzon, J. E., Tucker, C. J., Steele, M., Ermold, W., Zhang, J. 2017. Changing seasonality of panarctic tundra vegetation in relationship to climatic variables. Environmental Research Letters. 12(5), 055003. DOI: 10.1088/1748-9326/aa6b0b
Whitley, M. A., G. V. Frost, M. T. Jorgenson, M. J. Macander, C. V. Maio, and S. G. Winder. 2018. Assessment of LiDAR and spectral techniques for high-resolution mapping of sporadic permafrost on the Yukon-Kuskokwim Delta, Alaska. Remote Sensing 10(2), 258. DOI: 10.3390/rs10020258.

Grosse, G., Goetz, S., McGuire, A. D., Romanovsky, V. E., Schuur, E. A. G. 2016. Changing permafrost in a warming world and feedbacks to the Earth system. Environmental Research Letters. 11(4), 040201. DOI: 10.1088/1748-9326/11/4/040201
Hobbie, J. E., Shaver, G. R., Rastetter, E. B., Cherry, J. E., Goetz, S. J., Guay, K. C., Gould, W. A., Kling, G. W. 2017. Ecosystem responses to climate change at a Low Arctic and a High Arctic long-term research site. Ambio. 46(S1), 160-173. DOI: 10.1007/s13280-016-0870-x
Smith, A. M., Kolden, C. A., Paveglio, T. B., Cochrane, M. A., Bowman, D. M., Moritz, M. A., Kliskey, A. D., Alessa, L., Hudak, A. T., Hoffman, C. M., Lutz, J. A., Queen, L. P., Goetz, S. J., Higuera, P. E., Boschetti, L., Flannigan, M., Yedinak, K. M., Watts, A. C., Strand, E. K., van Wagtendonk, J. W., Anderson, J. W., Stocks, B. J., Abatzoglou, J. T. 2016. The Science of Firescapes: Achieving Fire-Resilient Communities. BioScience. 66(2), 130-146. DOI: 10.1093/biosci/biv182
Loranty, M. M., Lieberman-Cribbin, W., Berner, L. T., Natali, S. M., Goetz, S. J., Alexander, H. D., Kholodov, A. L. 2016. Spatial variation in vegetation productivity trends, fire disturbance, and soil carbon across arctic-boreal permafrost ecosystems. Environmental Research Letters. 11(9), 095008. DOI: 10.1088/1748-9326/11/9/095008
Berner, L. T., Jantz, P., Tape, K. D., Goetz, S. 2018. Tundra plant aboveground biomass and shrub dominance mapped across the North Slope of Alaska. Environmental Research Letters. DOI: 10.1088/1748-9326/aaaa9a

Du, J., J.S. Kimball, C. Duguay, Y. Kim, and J.D. Watts, 2017. Satellite microwave assessment of northern hemisphere lake ice phenology from 2002 to 2015. The Cryosphere, 11, 47-63.
Du, J., Kimball, J. S., Jones, L. A., Watts, J. D. 2016. Implementation of satellite based fractional water cover indices in the pan-Arctic region using AMSR-E and MODIS. Remote Sensing of Environment. 184, 469-481. DOI: 10.1016/j.rse.2016.07.029
Farhadi, L., Reichle, R. H., De Lannoy, G. J. M., Kimball, J. S. 2015. Assimilation of Freeze-Thaw Observations into the NASA Catchment Land Surface Model. Journal of Hydrometeorology. 16(2), 730-743. DOI: 10.1175/JHM-D-14-0065.1
Kim, Y., Kimball, J. S., Robinson, D. A., Derksen, C. 2015. New satellite climate data records indicate strong coupling between recent frozen season changes and snow cover over high northern latitudes. Environmental Research Letters. 10(8), 084004. DOI: 10.1088/1748-9326/10/8/084004
Park, H., Kim, Y., Kimball, J. S. 2016. Widespread permafrost vulnerability and soil active layer increases over the high northern latitudes inferred from satellite remote sensing and process model assessments. Remote Sensing of Environment. 175, 349-358. DOI: 10.1016/j.rse.2015.12.046
Park, H., Yoshikawa, Y., Oshima, K., Kim, Y., Ngo-Duc, T., Kimball, J. S., Yang, D. 2016. Quantification of Warming Climate-Induced Changes in Terrestrial Arctic River Ice Thickness and Phenology. Journal of Climate. 29(5), 1733-1754. DOI: 10.1175/JCLI-D-15-0569.1
Yi, Y., Kimball, J. S., Rawlins, M. A., Moghaddam, M., Euskirchen, E. S. 2015. The role of snow cover affecting boreal-arctic soil freeze-thaw and carbon dynamics. Biogeosciences. 12(19), 5811-5829. DOI: 10.5194/bg-12-5811-2015
Zona, D., Gioli, B., Commane, R., Lindaas, J., Wofsy, S. C., Miller, C. E., Dinardo, S. J., Dengel, S., Sweeney, C., Karion, A., Chang, R. Y., Henderson, J. M., Murphy, P. C., Goodrich, J. P., Moreaux, V., Liljedahl, A., Watts, J. D., Kimball, J. S., Lipson, D. A., Oechel, W. C. 2015. Cold season emissions dominate the Arctic tundra methane budget. Proceedings of the National Academy of Sciences. 113(1), 40-45. DOI: 10.1073/pnas.1516017113
Lindsay, C., Zhu, J., Miller, A., Kirchner, P., Wilson, T. 2015. Deriving Snow Cover Metrics for Alaska from MODIS. Remote Sensing. 7(10), 12961-12985. DOI: 10.3390/rs71012961

Barrett, K., Loboda, T., McGuire, A. D., Genet, H., Hoy, E., Kasischke, E. 2016. Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest. Ecosphere. 7(11), e01572. DOI: 10.1002/ecs2.1572
Jenkins, L., Bourgeau-Chavez, L., French, N., Loboda, T., Thelen, B. 2014. Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images. Remote Sensing. 6(7), 6347-6364. DOI: 10.3390/rs6076347
French, N. H. F., Jenkins, L. K., Loboda, T. V., Flannigan, M., Jandt, R., Bourgeau-Chavez, L. L., Whitley, M. 2015. Fire in arctic tundra of Alaska: past fire activity, future fire potential, and significance for land management and ecology. International Journal of Wildland Fire. 24(8), 1045. DOI: 10.1071/WF14167

Turetsky, M. R., Baltzer, J. L., Johnstone, J. F., Mack, M. C., McCann, K., Schuur, E. A. G. 2016. Losing Legacies, Ecological Release, and Transient Responses: Key Challenges for the Future of Northern Ecosystem Science. Ecosystems. 20(1), 23-30. DOI: 10.1007/s10021-016-0055-2

Commane, R., Lindaas, J., Benmergui, J., Luus, K. A., Chang, R. Y., Daube, B. C., Euskirchen, E. S., Henderson, J. M., Karion, A., Miller, J. B., Miller, S. M., Parazoo, N. C., Randerson, J. T., Sweeney, C., Tans, P., Thoning, K., Veraverbeke, S., Miller, C. E., Wofsy, S. C. 2017. Carbon dioxide sources from Alaska driven by increasing early winter respiration from Arctic tundra. Proceedings of the National Academy of Sciences. 201618567. DOI: 10.1073/pnas.1618567114
Dupont, F., Tanguay, F., Li, M., Perron, G., Miller, C. E., Dinardo, S. J., Kurosu, T. P. 2012. CARVE-FTS observations of arctic CO 2 , CH 4 , and CO: overview of the instrument. Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2012. DOI: 10.1117/12.979826
Fisher, J. B., Sikka, M., Oechel, W. C., Huntzinger, D. N., Melton, J. R., Koven, C. D., Ahlstrom, A., Arain, M. A., Baker, I., Chen, J. M., Ciais, P., Davidson, C., Dietze, M., El-Masri, B., Hayes, D., Huntingford, C., Jain, A. K., Levy, P. E., Lomas, M. R., Poulter, B., Price, D., Sahoo, A. K., Schaefer, K., Tian, H., Tomelleri, E., Verbeeck, H., Viovy, N., Wania, R., Zeng, N., Miller, C. E. 2014. Carbon cycle uncertainty in the Alaskan Arctic. Biogeosciences. 11(15), 4271-4288. DOI: 10.5194/bg-11-4271-2014
Sedano, F., Randerson, J. T. 2014. Multi-scale influence of vapor pressure deficit on fire ignition and spread in boreal forest ecosystems. Biogeosciences. 11(14), 3739-3755. DOI: 10.5194/bg-11-3739-2014
Miller, C. E., Dinardo, S. J. 2012. CARVE: The Carbon in Arctic Reservoirs Vulnerability Experiment. 2012 IEEE Aerospace Conference. DOI: 10.1109/AERO.2012.6187026
Oechel, W. C., Laskowski, C. A., Burba, G., Gioli, B., Kalhori, A. A. M. 2014. Annual patterns and budget of CO 2 flux in an Arctic tussock tundra ecosystem. Journal of Geophysical Research: Biogeosciences. 119(3), 323-339. DOI: 10.1002/2013JG002431
Zona, D., Lipson, D. A., Richards, J. H., Phoenix, G. K., Liljedahl, A. K., Ueyama, M., Sturtevant, C. S., Oechel, W. C. 2014. Delayed responses of an Arctic ecosystem to an extreme summer: impacts on net ecosystem exchange and vegetation functioning. Biogeosciences. 11(20), 5877-5888. DOI: 10.5194/bg-11-5877-2014
Rogers, B. M., Soja, A. J., Goulden, M. L., Randerson, J. T. 2015. Influence of tree species on continental differences in boreal fires and climate feedbacks. Nature Geoscience. 8(3), 228-234. DOI: 10.1038/NGEO2352

Tabatabaeenejad, A., Burgin, M., Duan, X., Moghaddam, M. 2015. P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results. IEEE Transactions on Geoscience and Remote Sensing. 53(2), 645-658. DOI: 10.1109/TGRS.2014.2326839

Alonzo, M., Morton, D. C., Cook, B. D., Andersen, H., Babcock, C., Pattison, R. 2017. Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar. Environmental Research Letters. 12(6), 065004. DOI: 10.1088/1748-9326/aa6ade
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. DOI: 10.1016/j.rse.2016.12.004
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. DOI: 10.1002/wics.1383
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. DOI: 10.1007/s10584-016-1722-1
Junttila, V., Finley, A. O., Bradford, J. B., Kauranne, T. 2013. Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory. Forest Ecology and Management. 292, 75-85. DOI: 10.1016/j.foreco.2012.12.019
Babcock, C., Matney, J., Finley, A. O., Weiskittel, A., Cook, B. D. 2013. Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(1), 6-14. DOI: 10.1109/JSTARS.2012.2215582
Finley, A. O., Banerjee, S., Cook, B. D., Bradford, J. B. 2013. Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets. International Journal of Applied Earth Observation and Geoinformation. 22, 147-160. DOI: 10.1016/j.jag.2012.04.007
Guhaniyogi, R., Finley, A. O., Banerjee, S., Kobe, R. K. 2013. Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data. Journal of Agricultural, Biological, and Environmental Statistics. 18(3), 274-298. DOI: 10.1007/s13253-013-0140-3
Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. DOI: 10.1016/j.rse.2016.04.014
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111(514), 800-812. DOI: 10.1080/01621459.2015.1044091

Henderson, J. M., Eluszkiewicz, J., Mountain, M. E., Nehrkorn, T., Chang, R. Y., Karion, A., Miller, J. B., Sweeney, C., Steiner, N., Wofsy, S. C., Miller, C. E. 2015. Atmospheric transport simulations in support of the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Atmospheric Chemistry and Physics. 15(8), 4093-4116. DOI: 10.5194/acp-15-4093-2015
Commane, R., Lindaas, J., Benmergui, J., Luus, K. A., Chang, R. Y., Daube, B. C., Euskirchen, E. S., Henderson, J. M., Karion, A., Miller, J. B., Miller, S. M., Parazoo, N. C., Randerson, J. T., Sweeney, C., Tans, P., Thoning, K., Veraverbeke, S., Miller, C. E., Wofsy, S. C. 2017. Carbon dioxide sources from Alaska driven by increasing early winter respiration from Arctic tundra. Proceedings of the National Academy of Sciences. 201618567. DOI: 10.1073/pnas.1618567114

Davidson, S., Santos, M., Sloan, V., Reuss-Schmidt, K., Phoenix, G., Oechel, W., Zona, D. 2017. Upscaling CH4 Fluxes Using High-Resolution Imagery in Arctic Tundra Ecosystems. Remote Sensing. 9(12), 1227. DOI: 10.3390/rs9121227

Verbyla, D., Hegel, T., Nolin, A., van de Kerk, M., Kurkowski, T., Prugh, L. 2017. Remote Sensing of 2000-2016 Alpine Spring Snowline Elevation in Dall Sheep Mountain Ranges of Alaska and Western Canada. Remote Sensing. 9(11), 1157. DOI: 10.3390/rs9111157

Montesano, P. M., Sun, G., Dubayah, R. O., Ranson, K. J. 2016. Spaceborne potential for examining taiga-tundra ecotone form and vulnerability. Biogeosciences. 13(13), 3847-3861. DOI: 10.5194/bg-13-3847-2016
Montesano, P., Neigh, C., Sexton, J., Feng, M., Channan, S., Ranson, K., Townshend, J. 2016. Calibration and Validation of Landsat Tree Cover in the Taiga[?]Tundra Ecotone. Remote Sensing. 8(7), 551. DOI: 10.3390/rs8070551
Neigh, C. S., Masek, J. G., Bourget, P., Rishmawi, K., Zhao, F., Huang, C., Cook, B. D., Nelson, R. F. 2016. Regional rates of young US forest growth estimated from annual Landsat disturbance history and IKONOS stereo imagery. Remote Sensing of Environment. 173, 282-293. DOI: 10.1016/j.rse.2015.09.007
Sexton, J. O., Noojipady, P., Song, X., Feng, M., Song, D., Kim, D., Anand, A., Huang, C., Channan, S., Pimm, S. L., Townshend, J. R. 2015. Conservation policy and the measurement of forests. Nature Climate Change. DOI: 10.1038/nclimate2816
Sexton, J. O., Noojipady, P., Anand, A., Song, X., McMahon, S., Huang, C., Feng, M., Channan, S., Townshend, J. R. 2015. A model for the propagation of uncertainty from continuous estimates of tree cover to categorical forest cover and change. Remote Sensing of Environment. 156, 418-425. DOI: 10.1016/j.rse.2014.08.038
Neigh, C., Masek, J., Bourget, P., Cook, B., Huang, C., Rishmawi, K., Zhao, F. 2014. Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR. Remote Sensing. 6(3), 1762-1782. DOI: 10.3390/rs6031762
Montesano, P., Sun, G., Dubayah, R., Ranson, K. 2014. The Uncertainty of Plot-Scale Forest Height Estimates from Complementary Spaceborne Observations in the Taiga-Tundra Ecotone. Remote Sensing. 6(10), 10070-10088. DOI: 10.3390/rs61010070

Laflamme, J. 2017. Effects of timber harvesting on boreal fire severity in Saskatchewan, Canada. Undergraduate research thesis. University of Guelph.
Veraverbeke, S., Rogers, B. M., Goulden, M. L., Jandt, R. R., Miller, C. E., Wiggins, E. B., Randerson, J. T. 2017. Lightning as a major driver of recent large fire years in North American boreal forests. Nature Climate Change. 7(7), 529-534. DOI: 10.1038/nclimate3329
Jandt, R. R.: Future Fire Regime in Alaska: a Look at the Role of Lightning, Alaska Fire Science Consortium, AFSC Research Brief 2017-2, 2017
Holden, S. R., Rogers, B. M., Treseder, K. K., Randerson, J. T. 2016. Fire severity influences the response of soil microbes to a boreal forest fire. Environmental Research Letters. 11(3), 035004. DOI: 10.1088/1748-9326/11/3/035004
Mouteva, G. O., Czimczik, C. I., Fahrni, S. M., Wiggins, E. B., Rogers, B. M., Veraverbeke, S., Xu, X., Santos, G. M., Henderson, J., Miller, C. E., Randerson, J. T. 2015. Black carbon aerosol dynamics and isotopic composition in Alaska linked with boreal fire emissions and depth of burn in organic soils. Global Biogeochemical Cycles. 29(11), 1977-2000. DOI: 10.1002/2015GB005247
Veraverbeke, S., Rogers, B. M., Randerson, J. T. 2015. Daily burned area and carbon emissions from boreal fires in Alaska. Biogeosciences. 12(11), 3579-3601. DOI: 10.5194/bg-12-3579-2015

Gusmeroli, A., Liu, L., Schaefer, K., Zhang, T., Schaefer, T., Grosse, G. 2015. Active Layer Stratigraphy and Organic Layer Thickness at a Thermokarst Site in Arctic Alaska Identified Using Ground Penetrating Radar. Arctic, Antarctic, and Alpine Research. 47(2), 195-202. DOI: 10.1657/AAAR00C-13-301
Liu, L., Schaefer, K., Gusmeroli, A., Grosse, G., Jones, B. M., Zhang, T., Parsekian, A. D., Zebker, H. A. 2014. Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska. The Cryosphere. 8(3), 815-826. DOI: 10.5194/tc-8-815-2014
Schaefer, K., Liu, L., Parsekian, A., Jafarov, E., Chen, A., Zhang, T., Gusmeroli, A., Panda, S., Zebker, H., Schaefer, T. 2015. Remotely Sensed Active Layer Thickness (ReSALT) at Barrow, Alaska Using Interferometric Synthetic Aperture Radar. Remote Sensing. 7(4), 3735-3759. DOI: 10.3390/rs70403735
Liu, L., Jafarov, E. E., Schaefer, K. M., Jones, B. M., Zebker, H. A., Williams, C. A., Rogan, J., Zhang, T. 2014. InSAR detects increase in surface subsidence caused by an Arctic tundra fire. Geophysical Research Letters. 41(11), 3906-3913. DOI: 10.1002/2014GL060533

Minsley, B.J., Emond, A.M., and Rey, D.M., 2017, Airborne electromagnetic and magnetic survey data and inverted resistivity models, western Yukon Flats, Alaska, February 2016: U.S. Geological Survey data release,
Kass, M. A., Irons, T. P., Minsley, B. J., Pastick, N. J., Brown, D. R. N., Wylie, B. K. 2017. In situ nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems. The Cryosphere Discussions. 1-21. DOI: 10.5194/tc-2016-256
Pastick, N. J., Duffy, P., Genet, H., Rupp, T. S., Wylie, B. K., Johnson, K. D., Jorgenson, M. T., Bliss, N., McGuire, A. D., Jafarov, E. E., Knight, J. F. 2017. Historical and projected trends in landscape drivers affecting carbon dynamics in Alaska. Ecological Applications. 27(5), 1383-1402. DOI: 10.1002/eap.1538
Walvoord, M. A., Kurylyk, B. L. 2016. Hydrologic Impacts of Thawing Permafrost--A Review. Vadose Zone Journal. 15(6). DOI: 10.2136/vzj2016.01.0010

Tondu, J., Turner, K. W., Wiklund, J. A., Wolfe, B. B., Hall, R. I., McDonald, I. 2016. Limnological evolution of Zelma Lake, a recently drained thermokarst lake in Old Crow Flats (Yukon, Canada). Arctic Science. DOI: 10.1139/AS-2016-0012
Lantz, T. C., Turner, K. W. 2015. Changes in lake area in response to thermokarst processes and climate in Old Crow Flats, Yukon. Journal of Geophysical Research: Biogeosciences. 120(3), 513-524. DOI: 10.1002/2014JG002744
Turner, K. W., Wolfe, B. B., Edwards, T. W. D., Lantz, T. C., Hall, R. I., Larocque, G. 2014. Controls on water balance of shallow thermokarst lakes and their relations with catchment characteristics: a multi-year, landscape-scale assessment based on water isotope tracers and remote sensing in Old Crow Flats, Yukon (Canada). Global Change Biology. 20(5), 1585-1603. DOI: 10.1111/gcb.12465

Boelman, N. T., Magney, T. S., Logan, B. A., Griffin, K. L., Eitel, J. U. H., Greaves, H., Prager, C. M., Vierling, L. A. 2016. Spectral determination of concentrations of functionally diverse pigments in increasingly complex arctic tundra canopies. Oecologia. 182(1), 85-97. DOI: 10.1007/s00442-016-3646-x
Magney, T. S., Eitel, J. U., Griffin, K. L., Boelman, N. T., Greaves, H. E., Prager, C. M., Logan, B. A., Zheng, G., Ma, L., Fortin, E. A., Oliver, R. Y., Vierling, L. A. 2016. LiDAR canopy radiation model reveals patterns of photosynthetic partitioning in an Arctic shrub. Agricultural and Forest Meteorology. 221, 78-93. DOI: 10.1016/j.agrformet.2016.02.007
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