US-EML: Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
| Tower_team: | |
| PI: | Ted Schuur ted.Schuur@nau.edu - University of Northern Arizona |
| FluxContact: | Rosvel Bracho rbracho@ufl.edu - University of Florida |
| DataManager: | Craig See Craig.See@nau.edu - Northern Arizona University |
| DataManager: | Gerardo Celis Gerardo.Celis@nau.edu - University of Northern Arizona |
| DataManager: | Heidi Rodenhizer hgr7@nau.edu - University of Northern Arizona |
| Lat, Long: | 63.8784, -149.2536 |
| Elevation(m): | 700 |
| Network Affiliations: | AmeriFlux, LTER |
| 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: | ET (Tundra) |
| Mean Annual Temp (Ā°C): | -1 |
| Mean Annual Precip. (mm): | 378 |
| Flux Species Measured: | CO2, H, H2O, CH4 |
| Years Data Collected: | 2008 - Present |
| Years Data Available: | AmeriFlux BASE 2008 - 2020 Data Citation |
| Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
| Description: | Tundra permafrost degrading |
| URL: | http://www.biology.ufl.edu/ecosystemdynamics/research.html |
| Research Topics: | CO2, CH4, H20 and heat fluxes fluxes in a permafrost thaw gradient |
| Acknowledgment: | — |
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US-EML: Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
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DOI(s) for citing US-EML data
Data Use Policy: AmeriFlux CC-BY-4.0 License
This siteās data can also be used under the more restrictive AmeriFlux Legacy Policy.
The AmeriFlux Legacy Policy must be followed if US-EML data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1418678
Citation: Ted Schuur (2021), AmeriFlux BASE US-EML Eight Mile Lake Permafrost thaw gradient, Healy Alaska., Ver. 4-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1418678
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US-EML: Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
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US-EML: Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
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US-EML: Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
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.
Includes all pixels that have acceptable quality
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. MODIS and VIIRS Land Products Fixed Sites Subsetting and Visualization Tool. 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.
US-EML: Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
Search Publications for this Site
Publications Found: 12
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| Year | Publication |
|---|---|
| 2022 | Oehri, J., Schaepman-Strub, G., Kim, J., Grysko, R., Kropp, H., GrĆ¼nberg, 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., RiihelƤ, A., Boike, J., Miller, N. B., Beringer, J., LĆ³pez-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., Gƶckede, M., Ueyama, M., Pirk, N., de Boer, G., Bret-Harte, M. S., LeppƤranta, 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 |
| 2021 | Chu, H., Luo, X., Ouyang, Z., Chan, W. S., Dengel, S., Biraud, S. C., Torn, M. S., Metzger, S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi, D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Bracho, R., Brown, S., Brunsell, N. A., Chen, J., Chen, X., Clark, K., Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J. A., Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa, H., Iwata, H., Ju, Y., Knowles, J. F., Knox, S. H., Kobayashi, H., Kolb, T., Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick, K., Oberbauer, S. F., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E., Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E. S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C., Stuart-Haƫntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A., Ueyama, M., Vargas, R., Wood, J. D., Zona, D. (2021) Representativeness Of Eddy-Covariance Flux Footprints For Areas Surrounding Ameriflux Sites, Agricultural And Forest Meteorology, 301-302, 108350. https://doi.org/10.1016/j.agrformet.2021.108350 |
| 2012 | Belshe, E. F., Schuur, E. A., Bolker, B. M., Bracho, R. (2012) Incorporating Spatial Heterogeneity Created By Permafrost Thaw Into A Landscape Carbon Estimate, Journal Of Geophysical Research: Biogeosciences, 117(G1), n/a-n/a. https://doi.org/10.1029/2011jg001836 |
| 2010 | Lee, H., Schuur, E. A. G., Vogel, J. G. (2010) Soil CO2 Production In Upland Tundra Where Permafrost Is Thawing, Journal Of Geophysical Research: Biogeosciences, 115(G1), n/a-n/a. https://doi.org/10.1029/2008jg000906 |
| 2012 | Trucco, C., Schuur, E. A., Natali, S. M., Belshe, E. F., Bracho, R., Vogel, J. (2012) Seven-Year Trends Of CO2 Exchange In A Tundra Ecosystem Affected By Long-Term Permafrost Thaw, Journal Of Geophysical Research: Biogeosciences, 117(G2), n/a-n/a. https://doi.org/10.1029/2011jg001907 |
| 2013 | Hicks Pries, C. E., Schuur, E. A., Vogel, J. G., Natali, S. M. (2013) Moisture Drives Surface Decomposition In Thawing Tundra, Journal Of Geophysical Research: Biogeosciences, 118(3), 1133-1143. https://doi.org/10.1002/jgrg.20089 |
| 2013 | Belshe, E. F., Schuur, E. A., Grosse, G. (2013) Quantification Of Upland Thermokarst Features With High Resolution Remote Sensing, Environmental Research Letters, 8(3), n/a-n/a. https://doi.org/10.1088/1748-9326/8/3/035016 |
| 2013 | Hicks Pries, C. E., Schuur, E. A., Crummer, K. G. (2013) Thawing Permafrost Increases Old Soil And Autotrophic Respiration In Tundra: Partitioning Ecosystem Respiration Using Ī“13C And ā14C, Global Change Biology, 19(2), 649-661. https://doi.org/10.1111/gcb.12058 |
| 2009 | Vogel, J., Schuur, E. A. G., Trucco, C., Lee, H. (2009) Response Of CO2 Exchange In A Tussock Tundra Ecosystem To Permafrost Thaw And Thermokarst Development, Journal Of Geophysical Research: Biogeosciences, 114(G4), n/a-n/a. https://doi.org/10.1029/2008jg000901 |
| 2009 | Schuur, E. A., Vogel, J. G., Crummer, K. G., Lee, H., Sickman, J. O., Osterkamp, T. E. (2009) The Effect Of Permafrost Thaw On Old Carbon Release And Net Carbon Exchange From Tundra, Nature, 459(7246), 556-559. https://doi.org/10.1038/nature08031 |
| 2007 | Schuur, E. A., Crummer, K. G., Vogel, J. G., Mack, M. C. (2007) Plant Species Composition And Productivity Following Permafrost Thaw And Thermokarst In Alaskan Tundra, Ecosystems, 10(2), 280-292. https://doi.org/10.1007/s10021-007-9024-0 |
| 2012 | Pries, C. E. H., Schuur, E. A., Crummer, K. G. (2012) Holocene Carbon Stocks And Carbon Accumulation Rates Altered In Soils Undergoing Permafrost Thaw, Ecosystems, 15(1), 162-173. https://doi.org/10.1007/s10021-011-9500-4 |
US-EML: Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
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US-EML: Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
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AĀ wind roseĀ gives a succinct view of how wind speed and direction are typically distributed at a particular location. Presented in a circular format, a wind rose shows the frequency and intensity of winds blowing from particular directions. The length of each “spoke” around the circle indicates the amount of time (frequency) that the wind blows from a particular direction. Colors along the spokes indicate categories of wind speed (intensity). Each concentric circle represents a different frequency, emanating from zero at the center to increasing frequencies at the outer circles
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This information can be useful to gain insight into regions surrounding a flux tower that contribute to the measured fluxes, and how those regions change in dependence of the time of day and season. The wind roses presented here are for four periods of the year, and in 16 cardinal directions. Graphics are available for all sites in the AmeriFlux network based on reported wind measurements at each site.
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The wind roses are based on observed hourly data from the sites registered with the AmeriFlux Network.
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