US-An1: Anaktuvuk River Severe Burn
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| Tower_team: | |
| PI: | Adrian Rocha arocha1@nd.edu - University of Notre Dame |
| Lat, Long: | 68.9900, -150.2800 |
| Elevation(m): | 600 |
| Network Affiliations: | AmeriFlux |
| Vegetation IGBP: | OSH (Open Shrublands: Lands with woody vegetation less than 2 meters tall and with shrub canopy cover between 10-60%. The shrub foliage can be either evergreen or deciduous.) |
| Climate Koeppen: | — |
| Mean Annual Temp (°C): | — |
| Mean Annual Precip. (mm): | — |
| Flux Species Measured: | CO2 |
| Years Data Collected: | 2008 - Present |
| Years Data Available: | AmeriFlux BASE 2008 - 2019 Data Citation |
| Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
| 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 ... 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 Severe Burn site consisted of a large area in which all of the green vegetation were consumed in the fire and some of the organic matter had burnt to the mineral soil in many places. A bear damaged the tower during the last week of August 2008, and it was repaired shortly after. See MoreShow Less |
| URL: | — |
| Research Topics: | The research approach of the Arctic Long Term Ecological Research (LTER) project is to predict the future ecological characteristics of the site based ... The research approach of the Arctic Long Term Ecological Research (LTER) project is to predict the future ecological characteristics of the site based upon existing knowledge of the controls of ecosystem structure and function as exerted by physical setting and geological factors, climatic factors, biotic factors, and the changes in fluxes of water and materials from land to water. Three towers were deployed along the Anaktuvuk River burn gradient to monitor post fire Net Ecosystem Exchange of CO2 (NEE): Severe Burn, Moderate Burn, and Unburned. The research focus of these stations is to characterize the effects of the Anaktuvuk River fire on climate forcing and vegetation recovery on the north slope of Alaska. This work will investigate fire-induced landscape heterogeneity in the Anaktuvuk River fire scar and its implications to scaling disturbances up to the region. See MoreShow Less |
| Acknowledgment: | — |
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US-An1: Anaktuvuk River Severe Burn
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Use the information below for citation of this site. See the Data Policy page for more details.
DOI(s) for citing US-An1 data
Data Use Policy: AmeriFlux CC-BY-4.0 License
This site’s data can also be used under the more restrictive AmeriFlux Legacy Policy.
The AmeriFlux Legacy Policy must be followed if US-An1 data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246142
Citation: Adrian Rocha, Gaius Shaver, John Hobbie (2020), AmeriFlux BASE US-An1 Anaktuvuk River Severe Burn, Ver. 2-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246142
To cite BADM when downloaded on their own, use the publications below for citing site characterization. When using BADM that are downloaded with AmeriFlux BASE and AmeriFlux FLUXNET products, use the DOI citation for the associated data product.
Publication(s) for citing site characterization
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Acknowledgments
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US-An1: Anaktuvuk River Severe Burn
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This page displays the list of downloads of data for the site US-An1.
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| Date | Name | Data Product | Version | Intended Use | Intended Use Description | Download Count |
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US-An1: Anaktuvuk River Severe Burn
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US-An1: Anaktuvuk River Severe Burn
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MODIS NDVI
The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
Use the slider below the time series to zoom in and out.
To view / download these data and other MOD13Q1 products for this site, visit MODIS/Terra Vegetation Indices.
For other related products, visit MODIS/VIIRS Fixed Sites Subsets Tool.
Citation:
ORNL DAAC. 2018. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567
MODIS NDVI subsetted data is not yet available for this site.
For a complete list of AmeriFlux sites, visit ORNL DAAC's MODIS/VIIRS Fixed Sites Subsets Tool.
PhenoCam Images and Derived Time Series Data
PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .
No PhenoCam data for this siteGeoNEX Data Products
GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.
The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.
GeoNEX pixels below cover the area 0.06° x 0.06° around and including site US-An1, 68.99, -150.28.
Citation
This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.
Subset Data Citation:
- Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.
Relevant Science Publication Citation:
GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)- Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.
- Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.
- Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.
US-An1: Anaktuvuk River Severe Burn
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| AmeriFlux Publications | Add Publication |
| Year | Publication |
|---|---|
| 2022 | 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), . https://doi.org/10.1038/s41467-022-34049-3 |
US-An1: Anaktuvuk River Severe Burn
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BADM for This Site
Access the Biological, Ancillary, Disturbance and Metadata (BADM) information and data for this site.
BADM contain information for many uses, such as characterizing a site’s vegetation and soil, describing disturbance history, and defining instrumentation for flux processing. They complement the flux/met data.
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US-An1: Anaktuvuk River Severe Burn
- Overview
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- Data Citation
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