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TE Project Publications

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  • by Year: 2016

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54 Publication(s)
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  ( Cook-B-01  Dubayah-04  Hurtt-03  Morton-02  )
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  ( Hoy-01  Loboda-01  )
Biederman, J. A., Scott, R. L., Goulden, M. L., Vargas, R., Litvak, M. E., Kolb, T. E., Yepez, E. A., Oechel, W. C., Blanken, P. D., Bell, T. W., Garatuza-Payan, J., Maurer, G. E., Dore, S., Burns, S. P. 2016. Terrestrial carbon balance in a drier world: the effects of water availability in southwestern North America. Global Change Biology. 22(5), 1867-1879. DOI: 10.1111/gcb.13222  ( Kolb-01  Vargas-01  )
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  ( Vierling-01  )
Boschetti, L., Stehman, S. V., Roy, D. P. 2016. A stratified random sampling design in space and time for regional to global scale burned area product validation. Remote Sensing of Environment. 186, 465-478. DOI: 10.1016/j.rse.2016.09.016  ( Stehman-01  )
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-01  )
Buermann, W., Beaulieu, C., Parida, B., Medvigy, D., Collatz, G. J., Sheffield, J., Sarmiento, J. L. 2016. Climate-driven shifts in continental net primary production implicated as a driver of a recent abrupt increase in the land carbon sink. Biogeosciences. 13(5), 1597-1607. DOI: 10.5194/bg-13-1597-2016  ( Buermann-01  )
Burakowski, E. A., Ollinger, S. V., Bonan, G. B., Wake, C. P., Dibb, J. E., Hollinger, D. Y. 2016. Evaluating the Climate Effects of Reforestation in New England Using a Weather Research and Forecasting (WRF) Model Multiphysics Ensemble. Journal of Climate. 29(14), 5141-5156. DOI: 10.1175/JCLI-D-15-0286.1  ( Ollinger-03  )
Cai, X., Yang, Z., Fisher, J. B., Zhang, X., Barlage, M., Chen, F. 2016. Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions. Geoscientific Model Development. 9(1), 1-15. DOI: 10.5194/gmd-9-1-2016  ( Zhang-X-01  )
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  ( Carroll-01  )
Clark, M. L., Kilham, N. E. 2016. Mapping of land cover in northern California with simulated hyperspectral satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 119, 228-245. DOI: 10.1016/j.isprsjprs.2016.06.007  ( Clark, Matthew (11-HYSPIRI11-0045)  )
Cohen, W. B., Yang, Z., Stehman, S. V., Schroeder, T. A., Bell, D. M., Masek, J. G., Huang, C., Meigs, G. W. 2016. Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline. Forest Ecology and Management. 360, 242-252. DOI: 10.1016/j.foreco.2015.10.042  ( Stehman-01  )
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  ( Cook-B-01  Dubayah-04  Hurtt-03  Morton-02  )
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  ( Cook-B-01  Cook-B-03  Dubayah-03  Dubayah-04  Hurtt-03  Morton-02  )
Deo, R. K., Russell, M. B., Domke, G. M., Woodall, C. W., Falkowski, M. J., Cohen, W. B. 2016. Using Landsat Time-Series and LiDAR to Inform Aboveground Forest Biomass Baselines in Northern Minnesota, USA. Canadian Journal of Remote Sensing. 43(1), 28-47. DOI: 10.1080/07038992.2017.1259556  ( Cohen-02  )
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  ( Kimball-04  )
Elmore, A. J., Nelson, D. M., Craine, J. M. 2016. Earlier springs are causing reduced nitrogen availability in North American eastern deciduous forests. Nature Plants. 2(10), 16133. DOI: 10.1038/NPLANTS.2016.133  ( Elmore-01  )
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  ( Cook-B-01  Dubayah-04  Hurtt-03  Morton-02  )
Flanagan, S., Hurtt, G., Fisk, J., Sahajpal, R., Hansen, M., Dolan, K., Sullivan, J., Zhao, M. 2016. Potential Vegetation and Carbon Redistribution in Northern North America from Climate Change. Climate. 4(1), 2. DOI: 10.3390/cli4010002  ( Hurtt-01  Hurtt-02  Hurtt-03  )
French, N. H. F., Whitley, M. A., Jenkins, L. K. 2016. Fire disturbance effects on land surface albedo in Alaskan tundra. Journal of Geophysical Research: Biogeosciences. 121(3), 841-854. DOI: 10.1002/2015JG003177  ( French-03  )
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  ( Rogers-01  )
Kharuk, V. I., Dvinskaya, M. L., Petrov, I. A., Im, S. T., Ranson, K. J. 2016. Larch forests of Middle Siberia: long-term trends in fire return intervals. Regional Environmental Change. 16(8), 2389-2397. DOI: 10.1007/s10113-016-0964-9  ( Ranson, Jon (11-TE11-0101)  )
Kharuk, V. I., Shushpanov, A. S., Im, S. T., Ranson, K. J. 2016. Climate-induced landsliding within the larch dominant permafrost zone of central Siberia. Environmental Research Letters. 11(4), 045004. DOI: 10.1088/1748-9326/11/4/045004  ( Ranson, Jon (11-TE11-0101)  )
Lepine, L. C., Ollinger, S. V., Ouimette, A. P., Martin, M. E. 2016. Examining spectral reflectance features related to foliar nitrogen in forests: Implications for broad-scale nitrogen mapping. Remote Sensing of Environment. 173, 174-186. DOI: 10.1016/j.rse.2015.11.028  ( Ollinger-03  )
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  ( Walker-01  )
Longo, M., Keller, M., dos-Santos, M. N., Leitold, V., Pinage, E. R., Baccini, A., Saatchi, S., Nogueira, E. M., Batistella, M., Morton, D. C. 2016. Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon. Global Biogeochemical Cycles. 30(11), 1639-1660. DOI: 10.1002/2016GB005465  ( Keller-01  Morton-01  )
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  ( Vierling-01  )
Meerdink, S., Roberts, D.A., King, J.Y., Roth, K.L, Amaral, C.H. and Hook, S.J., (2016), Linking Seasonal Foliar Traits to VSWIR-TIR Spectroscopy Across California Ecosystems, Remote Sensing of Environment, 186, 322-338.  ( Roberts, Dar (11-HYSPIRI11-0008)  )
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  ( Ranson, Jon (11-TE11-0101)  Ranson-02  )
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  ( Ranson-02  )
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  ( Ranson-02  )
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  ( Kimball-04  )
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  ( Kimball-04  )
Pelletier, J. D., Broxton, P. D., Hazenberg, P., Zeng, X., Troch, P. A., Niu, G., Williams, Z., Brunke, M. A., Gochis, D. 2016. A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling. Journal of Advances in Modeling Earth Systems. 8(1), 41-65. DOI: 10.1002/2015MS000526  ( Pelletier, Jon  )
Ponomarev, E., Kharuk, V., Ranson, K. 2016. Wildfires Dynamics in Siberian Larch Forests. Forests. 7(6), 125. DOI: 10.3390/f7060125  ( Ranson, Jon (11-TE11-0101)  )
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-01  )
Reimer, J. J., Cueva, A., Gaxiola-Castro, G., Lara-Lara, R., Vargas, R. 2016. Random error analysis of marine xCO2 measurements in a coastal upwelling region. Progress in Oceanography. 143, 1-12. DOI: 10.1016/j.pocean.2016.02.003  ( Vargas-01  )
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  ( Cook-B-01  Cook-B-03  Dubayah-03  Dubayah-04  Hurtt-03  Morton-02  )
Schleeweis, K., Goward, S. N., Huang, C., Dwyer, J. L., Dungan, J. L., Lindsey, M. A., Michaelis, A., Rishmawi, K., Masek, J. G. 2016. Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US. International Journal of Digital Earth. 9(10), 963-980. DOI: 10.1080/17538947.2016.1158876  ( Goward-03  )
Stockwell, C. E., Jayarathne, T., Cochrane, M. A., Ryan, K. C., Putra, E. I., Saharjo, B. H., Nurhayati, A. D., Albar, I., Blake, D. R., Simpson, I. J., Stone, E. A., Yokelson, R. J. 2016. Field measurements of trace gases and aerosols emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Nino. Atmospheric Chemistry and Physics. 16(18), 11711-11732. DOI: 10.5194/acp-16-11711-2016  ( Cochrane-01  )
Swatantran, A., Tang, H., Barrett, T., DeCola, P., Dubayah, R. 2016. Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar. Scientific Reports. 6, 28277. DOI: 10.1038/srep28277  ( Dubayah, Ralph (11-TE11-0060)  Dubayah-03  Dubayah-04  )
Tang, H., Swatantran, A., Barrett, T., DeCola, P., Dubayah, R. 2016. Voxel-Based Spatial Filtering Method for Canopy Height Retrieval from Airborne Single-Photon Lidar. Remote Sensing. 8(9), 771. DOI: 10.3390/rs8090771  ( Dubayah, Ralph (11-TE11-0060)  Dubayah-03  )
Thompson, D. R., Roberts, D. A., Gao, B. C., Green, R. O., Guild, L., Hayashi, K., Kudela, R., Palacios, S. 2016. Atmospheric correction with the Bayesian empirical line. Optics Express. 24(3), 2134. DOI: 10.1364/OE.24.002134  ( Roberts, Dar (11-HYSPIRI11-0008)  )
Tian, H., Lu, C., Ciais, P., Michalak, A. M., Canadell, J. G., Saikawa, E., Huntzinger, D. N., Gurney, K. R., Sitch, S., Zhang, B., Yang, J., Bousquet, P., Bruhwiler, L., Chen, G., Dlugokencky, E., Friedlingstein, P., Melillo, J., Pan, S., Poulter, B., Prinn, R., Saunois, M., Schwalm, C. R., Wofsy, S. C. 2016. The terrestrial biosphere as a net source of greenhouse gases to the atmosphere. Nature. 531(7593), 225-228. DOI: 10.1038/nature16946  ( Friedrichs-01  Lohrenz-03  Lohrenz-05  Wofsy-02  )
Turner, D. P., Ritts, W. D., Kennedy, R. E., Gray, A. N., Yang, Z. 2016. Regional carbon cycle responses to 25 years of variation in climate and disturbance in the US Pacific Northwest. Regional Environmental Change. 16(8), 2345-2355. DOI: 10.1007/s10113-016-0956-9  ( Turner-02  )
Villarreal, S., Vargas, R., Yepez, E. A., Acosta, J. S., Castro, A., Escoto-Rodriguez, M., Lopez, E., Martinez-Osuna, J., Rodriguez, J. C., Smith, S. V., Vivoni, E. R., Watts, C. J. 2016. Contrasting precipitation seasonality influences evapotranspiration dynamics in water-limited shrublands. Journal of Geophysical Research: Biogeosciences. 121(2), 494-508. DOI: 10.1002/2015JG003169  ( Vargas-01  )
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  ( Walker-01  )
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  ( Walker-01  )
Walter Anthony, K., Daanen, R., Anthony, P., Schneider von Deimling, T., Ping, C., Chanton, J. P., Grosse, G. 2016. Methane emissions proportional to permafrost carbon thawed in Arctic lakes since the 1950s. Nature Geoscience. 9(9), 679-682. DOI: 10.1038/ngeo2795  ( Walter-01  )
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  ( Striegl-01  )
Wu, J., Albert, L. P., Lopes, A. P., Restrepo-Coupe, N., Hayek, M., Wiedemann, K. T., Guan, K., Stark, S. C., Christoffersen, B., Prohaska, N., Tavares, J. V., Marostica, S., Kobayashi, H., Ferreira, M. L., Campos, K. S., da Silva, R., Brando, P. M., Dye, D. G., Huxman, T. E., Huete, A. R., Nelson, B. W., Saleska, S. R. 2016. Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests. Science. 351(6276), 972-976. DOI: 10.1126/science.aad5068  ( Saleska-01  )
Yang, Q., Zhang, X. 2016. Improving SWAT for simulating water and carbon fluxes of forest ecosystems. Science of The Total Environment. 569-570, 1478-1488. DOI: 10.1016/j.scitotenv.2016.06.238  ( Zhang-X-01  )
Yang, Q., Zhang, X., Xu, X., Asrar, G. R., Smith, R. A., Shih, J., Duan, S. 2016. Spatial patterns and environmental controls of particulate organic carbon in surface waters in the conterminous United States. Science of The Total Environment. 554-555, 266-275. DOI: 10.1016/j.scitotenv.2016.02.164  ( Zhang-X-01  )
Zhang, Q., Middleton, E. M., Cheng, Y., Huemmrich, K. F., Cook, B. D., Corp, L. A., Kustas, W. P., Russ, A. L., Prueger, J. H., Yao, T. 2016. Integrating chlorophyll fAPAR and nadir photochemical reflectance index from EO-1/Hyperion to predict cornfield daily gross primary production. Remote Sensing of Environment. 186, 311-321. DOI: 10.1016/j.rse.2016.08.026  ( Zhang, Qingyuan (11-TE11-0029)  )