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NASA's Arctic-Boreal Vulnerability Experiment


ABoVE Publications
17 ABoVE Projects have provided publications.
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Boelman-01:   (updated 15-Jul-2016)
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

Carroll-01:   (updated 22-Aug-2016)
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

Chen-W-01:   (updated 29-Nov-2016)
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

Chopping-03:   (updated 03-Feb-2016)
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

Cook-B-03:   (updated 03-Jan-2017)
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

Kimball-04:   (updated 23-Dec-2016)
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

Loboda-01:   (updated 15-Nov-2016)
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

Miller-C-01:   (updated 09-Jul-2015)
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

Moghaddam-03:   (updated 15-Jun-2016)
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

Morton-02:   (updated 03-Jan-2017)
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
Finley, A.O., S. Banerjee, Y., Zhou, B.D. Cook. 2016. Process-based hierarchical models for coupling high-dimensional LiDAR and forest variables over large geographic domains. arXiv: 1603.07409
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

Ranson-02:   (updated 28-Dec-2016)
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

Rogers-01:   (updated 19-Jan-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

Schaefer-03:   (updated 23-Feb-2016)
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

Striegl-01:   (updated 22-Aug-2016)
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

Turner-K-01:   (updated 14-Dec-2016)
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

Vierling-01:   (updated 06-Sep-2016)
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
Greaves, H. E., Vierling, L. A., Eitel, J. U., Boelman, N. T., Magney, T. S., Prager, C. M., Griffin, K. L. 2015. Estimating aboveground biomass and leaf area of low-stature Arctic shrubs with terrestrial LiDAR. Remote Sensing of Environment. 164, 26-35. DOI: 10.1016/j.rse.2015.02.023

Walker-01:   (updated 01-Dec-2016)
Bratsch, S., Epstein, H., Buchhorn, M., Walker, D. 2016. Differentiating among Four Arctic Tundra Plant Communities at Ivotuk, Alaska Using Field Spectroscopy. Remote Sensing. 8(1), 51. DOI: 10.3390/rs8010051
Walker DA, Raynolds MK, Maier HA, Barbour EM, Neufeld GP (2010) Circumpolar geobotanical mapping: A web-based plant-to-planet approach for vegetation-change analysis in the Arctic (eds Bryn A, Dramstad W, Fjellstad W). Viten fra Skog og landscap, 125-128.
Walker, D. A., Breen, A. L., Druckenmiller, L. A., Wirth, L. W., Fisher, W., Raynolds, M. K., Sibik, J., Walker, M. D., Hennekens, S., Boggs, K., Boucher, T., Buchhorn, M., Bultmann, H., Cooper, D. J., Daniels, F. J., Davidson, S. J., Ebersole, J. J., Elmendorf, S. C., Epstein, H. E., Gould, W. A., Hollister, R. D., Iversen, C. M., Jorgenson, M. T., Kade, A., Lee, M. T., MacKenzie, W. H., Peet, R. K., Peirce, J. L., Schickhoff, U., Sloan, V. L., Talbot, S. S., Tweedie, C. E., Villarreal, S., Webber, P. J., Zona, D. 2016. The Alaska Arctic Vegetation Archive (AVA-AK). Phytocoenologia. 46(2), 221-229. DOI: 10.1127/phyto/2016/0128
Liljedahl, A. K., Boike, J., Daanen, R. P., Fedorov, A. N., Frost, G. V., Grosse, G., Hinzman, L. D., Iijma, Y., Jorgenson, J. C., Matveyeva, N., Necsoiu, M., Raynolds, M. K., Romanovsky, V. E., Schulla, J., Tape, K. D., Walker, D. A., Wilson, C. J., Yabuki, H., Zona, D. 2016. Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology. Nature Geoscience. 9(4), 312-318. DOI: 10.1038/ngeo2674
Raynolds, M. K., Walker, D. A. 2016. Increased wetness confounds Landsat-derived NDVI trends in the central Alaska North Slope region, 1985-2011. Environmental Research Letters. 11(8), 085004. DOI: 10.1088/1748-9326/11/8/085004
Walker DA, Walker MD, Gould WA, Mercado J, Auerbach NA, Maier HA, Neufeld GP (2010) Maps for monitoring changes to vegetation structure and composition: The Toolik and Imnavait Creek grid plots (eds Bryn EBA, Dramstad W, Fjellstad W). Viten fra Skog og landscap, 121-123.
Walker, D.A. 2014. Toward a pan-Arctic vegetation archive and classification: Two recent workshops. IAVS Bulletin, 2014/1, pp. 12-16, [Newsletter] International Association for Vegetation Science. (PDF)
Walker, D.A. (Ed). 2014. Alaska Arctic Vegetation Archive (AVA) Workshop, Boulder, Colorado, USA, October 14-16, 2013. CAFF Proceedings Report 11. Akureyri, Iceland. ISBN: 978-9935-431-29-5 URI:
Walker, D.A. Breen, A.L., Raynolds, M.K. & Walker, M.D. (Ed). 2013. Arctic Vegetation Archive (AVA) Workshop, Krakow, Poland, April 14-16, 2013. CAFF Proceedings Report #10. Akureyri, Iceland. ISBN: 978-9935-431-24-0 URI:
Walker, D. A., Alsos, I. G., Bay, C., Boulanger-Lapointe, N., Breen, A. L., Bultmann, H., Christensen, T., Damgaard, C., Daniels, F. J. A., Hennekens, S., Raynolds, M. K., Le Roux, P. C., Luoto, M., Pellissier, L., Peet, R. K., Schmidt, N. M., Stewart, L., Virtanen, R., Yoccoz, N. G., Wisz, M. S. 2013. Rescuing Valuable Arctic Vegetation Data for Biodiversity Models, Ecosystem Models and a Panarctic Vegetation Classification. ARCTIC. 66(1). DOI: 10.14430/arctic4281
Walker, D. A., Daniels, F. J. A., Alsos, I., Bhatt, U. S., Breen, A. L., Buchhorn, M., Bultmann, H., Druckenmiller, L. A., Edwards, M. E., Ehrich, D., Epstein, H. E., Gould, W. A., Ims, R. A., Meltofte, H., Raynolds, M. K., Sibik, J., Talbot, S. S., Webber, P. J. 2016. Circumpolar Arctic vegetation: a hierarchic review and roadmap toward an internationally consistent approach to survey, archive and classify tundra plot data. Environmental Research Letters. 11(5), 055005. DOI: 10.1088/1748-9326/11/5/055005

Wullschleger-01:   (updated 23-Feb-2016)
Wullschleger, S. D., Hinzman, L. D., Wilson, C. J. 2011. Planning the Next Generation of Arctic Ecosystem Experiments. Eos, Transactions American Geophysical Union. 92(17), 145. DOI: 10.1029/2011EO170006
Xu, C., Liang, C., Wullschleger, S., Wilson, C., McDowell, N. 2011. Importance of feedback loops between soil inorganic nitrogen and microbial communities in the heterotrophic soil respiration response to global warming. Nature Reviews Microbiology. 9(3), 222-222. DOI: 10.1038/nrmicro2439-c1
Bouskill, N. J., Tang, J., Riley, W. J., Brodie, E. L. 2012. Trait-Based Representation of Biological Nitrification: Model Development, Testing, and Predicted Community Composition. Frontiers in Microbiology. 3. DOI: 10.3389/fmicb.2012.00364
Graham, D. E., Wallenstein, M. D., Vishnivetskaya, T. A., Waldrop, M. P., Phelps, T. J., Pfiffner, S. M., Onstott, T. C., Whyte, L. G., Rivkina, E. M., Gilichinsky, D. A., Elias, D. A., Mackelprang, R., VerBerkmoes, N. C., Hettich, R. L., Wagner, D., Wullschleger, S. D., Jansson, J. K. 2011. Microbes in thawing permafrost: the unknown variable in the climate change equation. The ISME Journal. 6(4), 709-712. DOI: 10.1038/ismej.2011.163
Lee, H., Wullschleger, S. D., Luo, Y. 2012. Enhancing terrestrial ecosystem sciences by integrating empirical modeling approaches. Eos, Transactions American Geophysical Union. 93(25), 237-237. DOI: 10.1029/2012EO250008
Lewis, K. C., Zyvoloski, G. A., Travis, B., Wilson, C., Rowland, J. 2012. Drainage subsidence associated with Arctic permafrost degradation. Journal of Geophysical Research: Earth Surface. 117(F4). DOI: 10.1029/2011JF002284
McCarthy, H. R., Luo, Y., Wullschleger, S. D. 2012. Integrating empirical-modeling approaches to improve understanding of terrestrial ecology processes. New Phytologist. 195(3), 523-525. DOI: 10.1111/j.1469-8137.2012.04222.x
Painter, S. L., Moulton, J. D., Wilson, C. J. 2012. Modeling challenges for predicting hydrologic response to degrading permafrost. Hydrogeology Journal. 21(1), 221-224. DOI: 10.1007/s10040-012-0917-4
Xu, C., Fisher, R., Wullschleger, S. D., Wilson, C. J., Cai, M., McDowell, N. G. 2012. Toward a Mechanistic Modeling of Nitrogen Limitation on Vegetation Dynamics. PLoS ONE. 7(5), e37914. DOI: 10.1371/journal.pone.0037914
Cunningham, P., Linn, R. R., Koo, E., Wilson, C. J. 2013. Large-Eddy Simulations of Air Flow and Turbulence within and around Low-Aspect-Ratio Cylindrical Open-Top Chambers. Journal of Applied Meteorology and Climatology. 52(8), 1716-1737. DOI: 10.1175/JAMC-D-12-041.1
Dafflon, B., Hubbard, S. S., Ulrich, C., Peterson, J. E. 2013. Electrical Conductivity Imaging of Active Layer and Permafrost in an Arctic Ecosystem, through Advanced Inversion of Electromagnetic Induction Data. Vadose Zone Journal. 12(4). DOI: 10.2136/vzj2012.0161
Hinzman, L. D., Destouni, G., Woo, M. 2013. Preface: Hydrogeology of cold regions. Hydrogeology Journal. 21(1), 1-4. DOI: 10.1007/s10040-012-0943-2
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Riley, W. J. 2013. Using model reduction to predict the soil-surface C18OO flux: an example of representing complex biogeochemical dynamics in a computationally efficient manner. Geoscientific Model Development. 6(2), 345-352. DOI: 10.5194/gmd-6-345-2013
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Tang, J. Y., Riley, W. J. 2013. A total quasi-steady-state formulation of substrate uptake kinetics in complex networks and an example application to microbial litter decomposition. Biogeosciences. 10(12), 8329-8351. DOI: 10.5194/bg-10-8329-2013
Wu, Y., Hubbard, S. S., Ulrich, C., Wullschleger, S. D. 2013. Remote Monitoring of Freeze-Thaw Transitions in Arctic Soils Using the Complex Resistivity Method. Vadose Zone Journal. 12(1). DOI: 10.2136/vzj2012.0062
Bouskill, N. J., Riley, W. J., Tang, J. Y. 2014. Meta-analysis of high-latitude nitrogen-addition and warming studies implies ecological mechanisms overlooked by land models. Biogeosciences. 11(23), 6969-6983. DOI: 10.5194/bg-11-6969-2014
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Pau, G. S. H., Bisht, G., Riley, W. J. 2014. A reduced-order modeling approach to represent subgrid-scale hydrological dynamics for land-surface simulations: application in a polygonal tundra landscape. Geoscientific Model Development. 7(5), 2091-2105. DOI: 10.5194/gmd-7-2091-2014
Riley, W. J., Maggi, F., Kleber, M., Torn, M. S., Tang, J. Y., Dwivedi, D., Guerry, N. 2014. 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. 7(4), 1335-1355. DOI: 10.5194/gmd-7-1335-2014
Riley, W. J., Shen, C. 2014. Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations. Hydrology and Earth System Sciences. 18(7), 2463-2483. DOI: 10.5194/hess-18-2463-2014
Rogers, A. 2013. The use and misuse of V c,max in Earth System Models. Photosynthesis Research. 119(1-2), 15-29. DOI: 10.1007/s11120-013-9818-1
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Roy Chowdhury, T., Herndon, E. M., Phelps, T. J., Elias, D. A., Gu, B., Liang, L., Wullschleger, S. D., Graham, D. E. 2014. Stoichiometry and temperature sensitivity of methanogenesis and CO 2 production from saturated polygonal tundra in Barrow, Alaska. Global Change Biology. 21(2), 722-737. DOI: 10.1111/gcb.12762
Cohen, L. R., Raz-Yaseef, N., Curtis, J. B., Young, J. M., Rahn, T. A., Wilson, C. J., Wullschleger, S. D., Newman, B. D. 2014. Measuring diurnal cycles of evapotranspiration in the Arctic with an automated chamber system. Ecohydrology. 8(4), 652-659. DOI: 10.1002/eco.1532
Heikoop, J. M., Throckmorton, H. M., Newman, B. D., Perkins, G. B., Iversen, C. M., Roy Chowdhury, T., Romanovsky, V., Graham, D. E., Norby, R. J., Wilson, C. J., Wullschleger, S. D. 2015. Isotopic identification of soil and permafrost nitrate sources in an Arctic tundra ecosystem. Journal of Geophysical Research: Biogeosciences. 120(6), 1000-1017. DOI: 10.1002/2014JG002883
Iversen, C. M., Sloan, V. L., Sullivan, P. F., Euskirchen, E. S., McGuire, A. D., Norby, R. J., Walker, A. P., Warren, J. M., Wullschleger, S. D. 2014. The unseen iceberg: plant roots in arctic tundra. New Phytologist. 205(1), 34-58. DOI: 10.1111/nph.13003
Koven, C. D., Lawrence, D. M., Riley, W. J. 2015. Permafrost carbon[?]climate feedback is sensitive to deep soil carbon decomposability but not deep soil nitrogen dynamics. Proceedings of the National Academy of Sciences. 201415123. DOI: 10.1073/pnas.1415123112
Lara, M. J., McGuire, A. D., Euskirchen, E. S., Tweedie, C. E., Hinkel, K. M., Skurikhin, A. N., Romanovsky, V. E., Grosse, G., Bolton, W. R., Genet, H. 2014. Polygonal tundra geomorphological change in response to warming alters future CO 2 and CH 4 flux on the Barrow Peninsula. Global Change Biology. 21(4), 1634-1651. DOI: 10.1111/gcb.12757
Lawrence, D. M., Koven, C. D., Swenson, S. C., Riley, W. J., Slater, A. G. 2015. Permafrost thaw and resulting soil moisture changes regulate projected high-latitude CO2and CH4emissions. Environmental Research Letters. 10(9), 094011. DOI: 10.1088/1748-9326/10/9/094011
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Maggi, F., Riley, W. J. 2015. The effect of temperature on the rate, affinity, and 15N fractionation of NO3 [?] during biological denitrification in soils. Biogeochemistry. 124(1-3), 235-253. DOI: 10.1007/s10533-015-0095-2
Mann, B. F., Chen, H., Herndon, E. M., Chu, R. K., Tolic, N., Portier, E. F., Roy Chowdhury, T., Robinson, E. W., Callister, S. J., Wullschleger, S. D., Graham, D. E., Liang, L., Gu, B. 2015. Indexing Permafrost Soil Organic Matter Degradation Using High-Resolution Mass Spectrometry. PLOS ONE. 10(6), e0130557. DOI: 10.1371/journal.pone.0130557
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Treat, C. C., Natali, S. M., Ernakovich, J., Iversen, C. M., Lupascu, M., McGuire, A. D., Norby, R. J., Roy Chowdhury, T., Richter, A., Santruckova, H., Schadel, C., Schuur, E. A. G., Sloan, V. L., Turetsky, M. R., Waldrop, M. P. 2015. A pan-Arctic synthesis of CH 4 and CO 2 production from anoxic soil incubations. Global Change Biology. 21(7), 2787-2803. DOI: 10.1111/gcb.12875
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WESTON, D. J., TIMM, C. M., WALKER, A. P., GU, L., MUCHERO, W., SCHMUTZ, J., SHAW, A. J., TUSKAN, G. A., WARREN, J. M., WULLSCHLEGER, S. D. 2014. S phagnum physiology in the context of changing climate: emergent influences of genomics, modelling and host-microbiome interactions on understanding ecosystem function. Plant, Cell & Environment. 38(9), 1737-1751. DOI: 10.1111/pce.12458
Wullschleger, S. D., Warren, J. M., Thornton, P. E. 2015. Leaf respiration ( GlobResp ) - global trait database supports Earth System Models. New Phytologist. 206(2), 483-485. DOI: 10.1111/nph.13364
Wullschleger, S. D., Breen, A. L., Iversen, C. M., Olson, M. S., Nasholm, T., Ganeteg, U., Wallenstein, M. D., Weston, D. J. 2015. Genomics in a changing arctic: critical questions await the molecular ecologist. Molecular Ecology. 24(10), 2301-2309. DOI: 10.1111/mec.13166
Xu, X., Elias, D. A., Graham, D. E., Phelps, T. J., Carroll, S. L., Wullschleger, S. D., Thornton, P. E. 2015. A microbial functional group-based module for simulating methane production and consumption: Application to an incubated permafrost soil. Journal of Geophysical Research: Biogeosciences. 120(7), 1315-1333. DOI: 10.1002/2015JG002935