DOI: 10.17190/AMF/1246144

AmeriFlux BASE US-An3 Anaktuvuk River Unburned

Dataset Creator(s)

Name Adrian Rocha
Email arocha1@nd.edu
Affiliation University of Notre Dame
Name Gaius Shaver
Email gshaver@mbl.edu
Affiliation Marine Biological Laboratory
Name John Hobbie
Email jhobbie@mbl.edu
Affiliation Marine Biological Laboratory

Dataset Description

This is the AmeriFlux version of the carbon flux data for the site US-An3 Anaktuvuk River Unburned. Site Description - The Anaktuvuk River fire on the North Slope of Alaska started on July 16, 2007 by lightning. It continued until the end of September when nearby lakes had already frozen over and burned >256,000 acres, creating a mosaic of patches that differed in burn severity. The Anaktuvuk River Severe Burn, Moderate Burn, and Unburned sites are 40 km to the west of the nearest road and were selected in late May 2008 to determine the effects of the fire on carbon, water, and energy exchanges during the growing season. Because the fire had burned through September of the previous year, initial deployment of flux towers occurred prior to any significant vegetative regrowth, and our sampling campaign captured the full growing season in 2008. The Unburned site was located in a large area of tundra that was unaffected by the fire.

Dataset Information

Originating Research Organization(s)

Marine Biological Laboratory

University of Notre Dame

Country USA
Sponsor Organization(s)

NSF/NEON

Site Page https://ameriflux.lbl.gov/sites/siteinfo/US-An3
Data Policy AmeriFlux CC-BY-4.0 License
Citation Adrian Rocha, Gaius Shaver, John Hobbie (2020), AmeriFlux BASE US-An3 Anaktuvuk River Unburned, Ver. 2-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246144
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Citations

None provided.

Other Publications

Oehri, J., Schaepman-Strub, G., Kim, J., Grysko, R., Kropp, H., Grünberg, I., Zemlianskii, V., Sonnentag, O., Euskirchen, E. S., Reji Chacko, M., Muscari, G., Blanken, P. D., Dean, J. F., di Sarra, A., Harding, R. J., Sobota, I., Kutzbach, L., Plekhanova, E., Riihelä, A., Boike, J., Miller, N. B., Beringer, J., López-Blanco, E., Stoy, P. C., Sullivan, R. C., Kejna, M., Parmentier, F. W., Gamon, J. A., Mastepanov, M., Wille, C., Jackowicz-Korczynski, M., Karger, D. N., Quinton, W. L., Putkonen, J., van As, D., Christensen, T. R., Hakuba, M. Z., Stone, R. S., Metzger, S., Vandecrux, B., Frost, G. V., Wild, M., Hansen, B., Meloni, D., Domine, F., te Beest, M., Sachs, T., Kalhori, A., Rocha, A. V., Williamson, S. N., Morris, S., Atchley, A. L., Essery, R., Runkle, B. R., Holl, D., Riihimaki, L. D., Iwata, H., Schuur, E. A., Cox, C. J., Grachev, A. A., McFadden, J. P., Fausto, R. S., Göckede, M., Ueyama, M., Pirk, N., de Boer, G., Bret-Harte, M. S., Leppäranta, M., Steffen, K., Friborg, T., Ohmura, A., Edgar, C. W., Olofsson, J., Chambers, S. D. (2022) , Vegetation Type Is An Important Predictor Of The Arctic Summer Land Surface Energy Budget Nature Communications, 13(1),
DOI: 10.1038/s41467-022-34049-3

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