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National Aeronautics and Space Administration

NASA's Arctic-Boreal Vulnerability Experiment

ABoVE

ABoVE Publications

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  • By Program: ABoVE

Houben, A., McLennan, D., Goetz, S., Miller, C., Griffith, P., Hoy, E., Larson, E. 2019. Pushing remote sensing capacity for climate change research in Canada's North: POLAR's contributions to NASA's Arctic-Boreal Vulnerability Experiment (ABoVE). Polar Knowledge: Aqhaliat Report. 1(1), 53-62. doi: 10.35298/pkc.2018.07
Miller, C. E., Griffith, P., Goetz, S., Hoy, E., Pinto, N., McCubbin, I., Thorpe, A. K., Hofton, M. M., Hodkinson, D. J., Hansen, C., Woods, J., Larsen, E. K., Kasischke, E. S., Margolis, H. A. 2019. An overview of ABoVE airborne campaign data acquisitions and science opportunities. Environmental Research Letters. doi: 10.1088/1748-9326/ab0d44 ( 4 citations ) 

Bartsch, A., Widhalm, B., Leibman, M., Ermokhina, K., Kumpula, T., Skarin, A., Wilcox, E. J., Jones, B. M., Frost, G. V., Hofler, A., Pointner, G. 2020. Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data. Remote Sensing of Environment. 237, 111515. doi: 10.1016/j.rse.2019.111515
Lara, M. J., Nitze, I., Grosse, G., Martin, P., McGuire, A. D. 2018. Reduced arctic tundra productivity linked with landform and climate change interactions. Scientific Reports. 8(1). doi: 10.1038/s41598-018-20692-8 ( 27 citations ) 
Lara, M. J., Nitze, I., Grosse, G., McGuire, A. D. 2018. Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska. Scientific Data. 5, 180058. doi: 10.1038/sdata.2018.58 ( 8 citations ) 
Muster, S., Riley, W. J., Roth, K., Langer, M., Cresto Aleina, F., Koven, C. D., Lange, S., Bartsch, A., Grosse, G., Wilson, C. J., Jones, B. M., Boike, J. 2019. Size Distributions of Arctic Waterbodies Reveal Consistent Relations in Their Statistical Moments in Space and Time. Frontiers in Earth Science. 7. doi: 10.3389/feart.2019.00005 ( 3 citations ) 
Nitze, I., Grosse, G., Jones, B. M., Romanovsky, V. E., Boike, J. 2018. Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nature Communications. 9(1). doi: 10.1038/s41467-018-07663-3 ( 13 citations ) 
Tape, K. D., Jones, B. M., Arp, C. D., Nitze, I., Grosse, G. 2018. Tundra be dammed: Beaver colonization of the Arctic. Global Change Biology. 24(10), 4478-4488. doi: 10.1111/gcb.14332 ( 7 citations ) 
Walter Anthony, K., Schneider von Deimling, T., Nitze, I., Frolking, S., Emond, A., Daanen, R., Anthony, P., Lindgren, P., Jones, B., Grosse, G. 2018. 21st-century modeled permafrost carbon emissions accelerated by abrupt thaw beneath lakes. Nature Communications. 9(1). doi: 10.1038/s41467-018-05738-9 ( 38 citations ) 

Boelman, N., Liston, G. E., Gurarie, E., Meddens, A. J., Mahoney, P. J., Kirchner, P. B., Bohrer, G., Brinkman, T. J., Cosgrove, C. L., Eitel, J., Hebblewhite, M., Kimball, J. S., LaPoint, S. D., Nolin, A. W., Hojlund Pedersen, S., Prugh, L. R., Reinking, A. K., Vierling, L. 2018. Integrating snow science and wildlife ecology in Arctic-boreal North America. Environmental Research Letters. doi: 10.1088/1748-9326/aaeec1 ( 6 citations )   [quad chart]
Eacker, D. R., Hebblewhite, M., Steenweg, R., Russell, M., Flasko, A., Hervieux, D. 2019. Web-based application for threatened woodland caribou population modeling. Wildlife Society Bulletin. 43(1), 167-177. doi: 10.1002/wsb.950
Finnegan, L., Pigeon, K. E., Cranston, J., Hebblewhite, M., Musiani, M., Neufeld, L., Schmiegelow, F., Duval, J., Stenhouse, G. B. 2018. Natural regeneration on seismic lines influences movement behaviour of wolves and grizzly bears. PLOS ONE. 13(4), e0195480. doi: 10.1371/journal.pone.0195480 ( 5 citations )   [quad chart]
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 ( 21 citations ) 
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 ( 15 citations ) 
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 ( 39 citations ) 
Holbrook, J. D., Olson, L. E., DeCesare, N. J., Hebblewhite, M., Squires, J. R., Steenweg, R. 2019. Functional responses in habitat selection: clarifying hypotheses and interpretations. Ecological Applications. 29(3), e01852. doi: 10.1002/eap.1852 ( 9 citations ) 
Meddens, A. J., Vierling, L. A., Eitel, J. U., Jennewein, J. S., White, J. C., Wulder, M. A. 2018. Developing 5 m resolution canopy height and digital terrain models from WorldView and ArcticDEM data. Remote Sensing of Environment. 218, 174-188. doi: 10.1016/j.rse.2018.09.010 ( 6 citations )   [quad chart]
Oliver, R.Y., Ellis, D.P.W., Chmura, H.E., Krause, J.S., Perez, J.H., Sweet, S.K., Gough, L., Wingfield, J.C., Boelman, N.T. (2018) Eavesdropping on the Arctic: Automated bioacoustics reveal dynamics in songbird breeding phenology, Science Advances, doi: 10.1126/sciadv.aaq1084 ( 5 citations )   [quad chart]
Serrouya, R., Seip, D. R., Hervieux, D., McLellan, B. N., McNay, R. S., Steenweg, R., Heard, D. C., Hebblewhite, M., Gillingham, M., Boutin, S. 2019. Saving endangered species using adaptive management. Proceedings of the National Academy of Sciences. 116(13), 6181-6186. doi: 10.1073/pnas.1816923116 ( 10 citations )   [quad chart]
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 ( 10 citations ) 
Tucker, M. A., Bohning-Gaese, K., Fagan, W. F., Fryxell, J. M., Van Moorter, B., Alberts, S. C., Ali, A. H., Allen, A. M., Attias, N., Avgar, T., Bartlam-Brooks, H., Bayarbaatar, B., Belant, J. L., Bertassoni, A., Beyer, D., Bidner, L., van Beest, F. M., Blake, S., Blaum, N., Bracis, C., Brown, D., de Bruyn, P. J. N., Cagnacci, F., Calabrese, J. M., Camilo-Alves, C., Chamaille-Jammes, S., Chiaradia, A., Davidson, S. C., Dennis, T., DeStefano, S., Diefenbach, D., Douglas-Hamilton, I., Fennessy, J., Fichtel, C., Fiedler, W., Fischer, C., Fischhoff, I., Fleming, C. H., Ford, A. T., Fritz, S. A., Gehr, B., Goheen, J. R., Gurarie, E., Hebblewhite, M., Heurich, M., Hewison, A. J. M., Hof, C., Hurme, E., Isbell, L. A., Janssen, R., Jeltsch, F., Kaczensky, P., Kane, A., Kappeler, P. M., Kauffman, M., Kays, R., Kimuyu, D., Koch, F., Kranstauber, B., LaPoint, S., Leimgruber, P., Linnell, J. D. C., Lopez-Lopez, P., Markham, A. C., Mattisson, J., Medici, E. P., Mellone, U., Merrill, E., de Miranda Mourao, G., Morato, R. G., Morellet, N., Morrison, T. A., Diaz-Munoz, S. L., Mysterud, A., Nandintsetseg, D., Nathan, R., Niamir, A., Odden, J., O'Hara, R. B., Oliveira-Santos, L. G. R., Olson, K. A., Patterson, B. D., Cunha de Paula, R., Pedrotti, L., Reineking, B., Rimmler, M., Rogers, T. L., Rolandsen, C. M., Rosenberry, C. S., Rubenstein, D. I., Safi, K., Said, S., Sapir, N., Sawyer, H., Schmidt, N. M., Selva, N., Sergiel, A., Shiilegdamba, E., Silva, J. P., Singh, N., Solberg, E. J., Spiegel, O., Strand, O., Sundaresan, S., Ullmann, W., Voigt, U., Wall, J., Wattles, D., Wikelski, M., Wilmers, C. C., Wilson, J. W., Wittemyer, G., Zieba, F., Zwijacz-Kozica, T., Mueller, T. 2018. Moving in the Anthropocene: Global reductions in terrestrial mammalian movements. Science. 359(6374), 466-469. doi: 10.1126/science.aam9712 ( 189 citations )   [quad chart]
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 ( 16 citations ) 

Bourgeau-Chavez, L. L., Endres, S., Powell, R., Battaglia, M. J., Benscoter, B., Turetsky, M., Kasischke, E. S., Banda, E. 2017. Mapping boreal peatland ecosystem types from multitemporal radar and optical satellite imagery. Canadian Journal of Forest Research. 47(4), 545-559. doi: 10.1139/cjfr-2016-0192 ( 13 citations )   [quad chart]

Brinkman, T. J., Hansen, W. D., Chapin, F. S., Kofinas, G., BurnSilver, S., Rupp, T. S. 2016. Arctic communities perceive climate impacts on access as a critical challenge to availability of subsistence resources. Climatic Change. 139(3-4), 413-427. doi: 10.1007/s10584-016-1819-6 ( 25 citations )   [quad chart]
Brown, D. R. N., Brinkman, T. J., Verbyla, D. L., Brown, C. L., Cold, H. S., Hollingsworth, T. N. 2018. Changing river ice seasonality and impacts on interior Alaskan communities. Weather, Climate, and Society. doi: 10.1175/WCAS-D-17-0101.1 ( 2 citations )   [quad chart]
Brown, D.R.N., Brinkman, T.J., Verbyla, D.L., Bolton, W.R., Hollingsworth, T.N. (in review). Changing hydroclimatic drivers of subarctic riverbank erosion. Climatic Change.  [quad chart]
Brown, D.R.N., Brinkman, T.J., Verbyla, D.L., Bolton, W.R., Hollingsworth, T.N. (in review). Changing hydroclimatic drivers of subarctic riverbank erosion. Climatic Change.  [quad chart]
Cold, H.S. 2018. Assessing Effects of Climate Change on Access to Ecosystem Services in Rural Alaska. M.S. Thesis. University of Alaska Fairbanks; Fairbanks, AK. 58 p.
Cold, H.S., Brinkman, T.J., Brown, C.L., Hollingsworth, T.N., Verbyla, D.L., Brown, D.R.N. and Heeringa, K. (in review) Assessing vulnerability of subsistence travel to effects of environmental change in Interior Alaska. Ecology and Society.  [quad chart]
Hasbrouck, T.R. 2018. Distribution of Hunter Groups and Environmental Effects on Moose Harvest in Interior Alaska. M.S. Thesis. University of Alaska Fairbanks; Fairbanks, AK. 70 p.
Hasbrouck, T.R., T.J. Brinkman, E. Trochim, G. Stout, and K. Kielland. Quantifying effects of environmental factors on moose hunting success in Interior Alaska. Prepared for submission to Journal of Wildlife Management.  [quad chart]

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 ( 17 citations ) 

Ganesan, A. L., Schwietzke, S., Poulter, B., Arnold, T., Lan, X., Rigby, M., Vogel, F. R., Werf, G. R., Janssens-Maenhout, G., Boesch, H., Pandey, S., Manning, A. J., Jackson, R. B., Nisbet, E. G., Manning, M. R. 2019. Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement. Global Biogeochemical Cycles. 33(12), 1475-1512. doi: 10.1029/2018GB006065 ( 1 citations ) 

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 ( 2 citations ) 
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 ( 44 citations ) 
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 ( 9 citations ) 

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(2), 124-133. doi: 10.1017/s0032247415000509 ( 1 citations ) 

Alonzo, M., Andersen, H., Morton, D., Cook, B. 2018. Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion. Forests. 9(3), 119. doi: 10.3390/f9030119 ( 19 citations ) 
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 ( 13 citations ) 
Alonzo, M., R. J. Dial, B. K. Schulz, H. -E. Andersen, E. Lewis-Clark, B. D. Cook and D. Morton. Mapping tall shrub structure in Alaska at scale using structure-from-motion photogrammetry and lidar. Remote Sensing of Environment (submitted).
Andersen, H. -E., C. Babcock, B. Cook, D. Morton, A. Finley and M. Alonzo. Using remote sensing to support forest inventory in interior Alaska – demonstration of a generalized regression estimator in a two-phase, model-assisted sampling design using two-sources of auxiliary data. Forests (submitted).
Babcock, C., Finley, A. O., Andersen, H., Pattison, R., Cook, B. D., Morton, D. C., Alonzo, M., Nelson, R., Gregoire, T., Ene, L., Gobakken, T., Naesset, E. 2018. Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations. Remote Sensing of Environment. 212, 212-230. doi: 10.1016/j.rse.2018.04.044 ( 6 citations ) 
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 ( 15 citations ) 
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 ( 12 citations ) 
Ene, L. T., Gobakken, T., Andersen, H., Naesset, E., Cook, B. D., Morton, D. C., Babcock, C., Nelson, R. 2018. Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data. Remote Sensing of Environment. 204, 741-755. doi: 10.1016/j.rse.2017.09.027 ( 11 citations ) 
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 ( 4 citations ) 
Finley, A. O., Datta, A., Cook, B. D., Morton, D. C., Andersen, H. E., Banerjee, S. 2019. Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes. Journal of Computational and Graphical Statistics. 28(2), 401-414. doi: 10.1080/10618600.2018.1537924 ( 3 citations ) 
Finley, A. O., S. Banerjee, Y. Zhou and B. D. Cook. 2016. Process-based hierarchical models for coupling high-dimensional LiDAR and forest variables over large geographic domains. Journal of the American Statistical Association, http://arxiv.org/abs/1603.07409
Montesano, P. M., Neigh, C. S., Wagner, W., Wooten, M., Cook, B. D. 2019. Boreal canopy surfaces from spaceborne stereogrammetry. Remote Sensing of Environment. 225, 148-159. doi: 10.1016/j.rse.2019.02.012 ( 4 citations )   [quad chart]
Pattison, R., H. -E. Andersen, A. Gray, B. Schulz, R. J. Smith and S. Jovan. 2018. Forests of the Tanana Valley State Forest and Tetlin National Wildlife Refuge, Alaska: Results of the 2014 pilot inventory. Gen. Tech. Rep. PNW-GTR-967, Portland, OR. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 80 p.
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 ( 5 citations ) 
Shirota, S., A. O. Finley, B. D. Cook and S. Banerjee. Conjugate nearest neighbor Gaussian process models for efficient statistical interpolation of large spatial data. IEEE Transactions on Geoscience and Remote Sensing (submitted).
Shoot, C., H. -E. Andersen, Monika Moskal, C. Babcock, B. Cook and D. Morton. Classifying Forest Type in the National Forest Inventory Context from a Fusion of Hyperspectral and Lidar Data. Remote Sensing of Environment (submitted).
Taylor-Rodriguez, D., Finley, A. O., Datta, A., Babcock, C., Andersen, H., Cook, B. D., Morton, D. C., Banerjee, S. 2019. Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping. Statistica Sinica. doi: 10.5705/ss.202018.0005 ( 2 citations ) 

Heaton, M. J., Datta, A., Finley, A. O., Furrer, R., Guinness, J., Guhaniyogi, R., Gerber, F., Gramacy, R. B., Hammerling, D., Katzfuss, M., Lindgren, F., Nychka, D. W., Sun, F., Zammit-Mangion, A. 2018. A Case Study Competition Among Methods for Analyzing Large Spatial Data. Journal of Agricultural, Biological and Environmental Statistics. 24(3), 398-425. doi: 10.1007/s13253-018-00348-w ( 32 citations ) 

Alonzo, M., Andersen, H., Morton, D., Cook, B. 2018. Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion. Forests. 9(3), 119. doi: 10.3390/f9030119 ( 19 citations ) 
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 ( 13 citations ) 
Babcock, C., Finley, A. O., Andersen, H., Pattison, R., Cook, B. D., Morton, D. C., Alonzo, M., Nelson, R., Gregoire, T., Ene, L., Gobakken, T., Naesset, E. 2018. Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations. Remote Sensing of Environment. 212, 212-230. doi: 10.1016/j.rse.2018.04.044 ( 6 citations ) 
Montesano, P. M., Neigh, C. S., Wagner, W., Wooten, M., Cook, B. D. 2019. Boreal canopy surfaces from spaceborne stereogrammetry. Remote Sensing of Environment. 225, 148-159. doi: 10.1016/j.rse.2019.02.012 ( 4 citations )   [quad chart]

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 ( 94 citations ) 
Eitel, J. U., Maguire, A. J., Boelman, N., Vierling, L. A., Griffin, K. L., Jensen, J., Magney, T. S., Mahoney, P. J., Meddens, A. J., Silva, C., Sonnentag, O. 2019. Proximal remote sensing of tree physiology at northern treeline: Do late-season changes in the photochemical reflectance index (PRI) respond to climate or photoperiod? Remote Sensing of Environment. 221, 340-350. doi: 10.1016/j.rse.2018.11.022 ( 2 citations )   [quad chart]
Maguire, AJ, JUH Eitel, LA Vierling, DM Johnson, KL Griffin, NT Boelman, JE Jensen, HE Greaves, AJH Meddens.Terrestrial lidar scanning reveals fine-scale linkages between microstructure and photosynthetic functioning of small-stature spruce trees at the forest-tundra ecotone. Agricultural and Forest Meteorology. doi: 10.1016/j.agrformet.2019.02.019 ( 1 citations )   [quad chart]
Meddens, A. J., Vierling, L. A., Eitel, J. U., Jennewein, J. S., White, J. C., Wulder, M. A. 2018. Developing 5 m resolution canopy height and digital terrain models from WorldView and ArcticDEM data. Remote Sensing of Environment. 218, 174-188. doi: 10.1016/j.rse.2018.09.010 ( 6 citations )   [quad chart]

Fisher, J. B., Hayes, D. J., Schwalm, C. R., Huntzinger, D. N., Stofferahn, E., Schaefer, K., Luo, Y., Wullschleger, S. D., Goetz, S., Miller, C. E., Griffith, P., Chadburn, S., Chatterjee, A., Ciais, P., Douglas, T. A., Genet, H., Ito, A., Neigh, C. S. R., Poulter, B., Rogers, B. M., Sonnentag, O., Tian, H., Wang, W., Xue, Y., Yang, Z., Zeng, N., Zhang, Z. 2018. Missing pieces to modeling the Arctic-Boreal puzzle. Environmental Research Letters. 13(2), 020202. doi: 10.1088/1748-9326/aa9d9a ( 10 citations )   [quad chart]
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 ( 44 citations ) 
Huntzinger, D. N., Schaefer, K., Schwalm, C., Fisher, J. B., Hayes, D., Stofferahn, E., Carey, J., Michalak, A. M., Wei, Y., Jain, A. K., Kolus, H., Mao, J., Poulter, B., Shi, X., Tang, J., Tian, H. 2020. Evaluation of simulated soil carbon dynamics in Arctic-Boreal ecosystems. Environmental Research Letters. 15(2), 025005. doi: 10.1088/1748-9326/ab6784  [quad chart]
Stofferahn, E., Fisher, J. B., Hayes, D. J., Schwalm, C. R., Huntzinger, D. N., Hantson, W., Poulter, B., Zhang, Z. 2019. The Arctic-Boreal vulnerability experiment model benchmarking system. Environmental Research Letters. 14(5), 055002. doi: 10.1088/1748-9326/ab10fa ( 2 citations ) 

Huntzinger, D. N., Schaefer, K., Schwalm, C., Fisher, J. B., Hayes, D., Stofferahn, E., Carey, J., Michalak, A. M., Wei, Y., Jain, A. K., Kolus, H., Mao, J., Poulter, B., Shi, X., Tang, J., Tian, H. 2020. Evaluation of simulated soil carbon dynamics in Arctic-Boreal ecosystems. Environmental Research Letters. 15(2), 025005. doi: 10.1088/1748-9326/ab6784  [quad chart]

Bartsch, A., Widhalm, B., Leibman, M., Ermokhina, K., Kumpula, T., Skarin, A., Wilcox, E. J., Jones, B. M., Frost, G. V., Hofler, A., Pointner, G. 2020. Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data. Remote Sensing of Environment. 237, 111515. doi: 10.1016/j.rse.2019.111515  [quad chart]
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 ( 25 citations ) 
Frost, G. V., Loehman, R. A., Saperstein, L. B., Macander, M. J., Nelson, P. R., Paradis, D. P., Natali, S. M. 2020. Multi-decadal patterns of vegetation succession after tundra fire on the Yukon-Kuskokwim Delta, Alaska. Environmental Research Letters. 15(2), 025003. doi: 10.1088/1748-9326/ab5f49  [quad chart]
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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 ( 14 citations ) 
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 ( 5 citations ) 
Wullschleger, S. D., Epstein, H. E., Box, E. O., Euskirchen, E. S., Goswami, S., Iversen, C. M., Kattge, J., Norby, R. J., van Bodegom, P. M., Xu, X. 2014. 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. 114(1), 1-16. doi: 10.1093/aob/mcu077 ( 114 citations ) 
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 ( 6 citations ) 
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 ( 3 citations ) 
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 ( 50 citations ) 
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 ( 12 citations ) 
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 ( 19 citations )