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US-NC4: NC_AlligatorRiver

Tower_team:
PI: Asko Noormets noormets@tamu.edu - Texas A&M University
PI: John King john_king@ncsu.edu - North Carolina State University
DataManager: Benju Baniya benju.baniya@ag.tamu.edu - Texas A&M University
Lat, Long: 35.7879, -75.9038
Elevation(m): 1
Network Affiliations: AmeriFlux, Phenocam
Vegetation IGBP: WET (Permanent Wetlands: Lands with a permanent mixture of water and herbaceous or woody vegetation that cover extensive areas. The vegetation can be present in either salt, brackish, or fresh water)
Climate Koeppen: Cfa (Humid Subtropical: mild with no dry season, hot summer)
Mean Annual Temp (°C): 16.6
Mean Annual Precip. (mm): 1311
Flux Species Measured: CO2, CH4
Years Data Collected: 2009 - Present
Years Data Available:

AmeriFlux BASE 2009 - 2024   Data Citation

AmeriFlux FLUXNET 2009 - 2021   Data Citation
Data Use Policy:AmeriFlux CC-BY-4.0 Policy1
Description:
The North Carolina Alligator River site was established to provide core measurements for understanding carbon cycling in natural coastal forested wetlands. ...
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URL: https://sites.google.com/site/ncfluxcoresites/
Research Topics: Hydrological regulation of CO2 and CH4 exchange, dynamics of soil carbon, partitioning of respiration
Acknowledgment: —
Site Tasks
  1. This site’s data can also be used under the more restrictive AmeriFlux Legacy Policy.
    The AmeriFlux Legacy Policy must be followed if this site’s data are combined with data from sites that require the AmeriFlux Legacy Policy.
Site Photo More Site Images
Image Credit: Jonathan Furst, 06/01/2017
Copyright preference: Open use
Site Publication More Site Publications
Miao, G., Noormets, A., Domec, J., Fuentes, M., Trettin, C. C., Sun, G., McNulty, S. G., King, J. S. 2017. Hydrology And Microtopography Control Carbon Dynamics In Wetlands: Implications In Partitioning Ecosystem Respiration In A Coastal Plain Forested Wetland, Agricultural And Forest Meteorology, 247, 343-355.

US-NC4: NC_AlligatorRiver

Use the information below for citation of this site. See the Data Policy page for more details.

DOI(s) for citing US-NC4 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-NC4 data are combined with data from sites that require the AmeriFlux Legacy Policy.

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1480314
    Citation: Asko Noormets, John King, Bhaskar Mitra, Guofang Miao, Maricar Aguilos, Kevan Minick, Prajaya Prajapati, Jean-Christophe Domec (2025), AmeriFlux BASE US-NC4 NC_AlligatorRiver, Ver. 6-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1480314
  • AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/1902837
    Citation: Asko Noormets, John King, Bhaskar Mitra, Guofang Miao, Maricar Aguilos, Kevan Minick, Prajaya Prajapati, Jean-Christophe Domec (2024), AmeriFlux FLUXNET-1F US-NC4 NC_AlligatorRiver, Ver. 4-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1902837

Find global FLUXNET datasets, like FLUXNET2015 and FLUXNET-CH4, and their citation information at fluxnet.org.

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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Resources

US-NC4: NC_AlligatorRiver

This page displays the list of downloads of data for the site {{siteId}}.

Note: Results are the number of downloads to distinct data users. The Download Count column indicates the number of times the data user downloaded the data. The Version column refers to the version of the data product for the site that was downloaded by the data user.

Year Range

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US-NC4: NC_AlligatorRiver

Year Publication
2021 Minick, K. J., Mitra, B., Li, X., Fischer, M., Aguilos, M., Prajapati, P., Noormets, A., King, J. S. (2021) Wetland Microtopography Alters Response Of Potential Net Co2 And Ch4 Production To Temperature And Moisture: Evidence From A Laboratory Experiment, Geoderma, 402, 115367. https://doi.org/10.1016/j.geoderma.2021.115367
2022 Minick, K. J., Aguilos, M., Li, X., Mitra, B., Prajapati, P., King, J. S. (2022) Effects Of Spatial Variability And Drainage On Extracellular Enzyme Activity In Coastal Freshwater Forested Wetlands Of Eastern North Carolina, Usa, Forests, 13(6), 861. https://doi.org/10.3390/f13060861
2020 Aguilos, M., Mitra, B., Noormets, A., Minick, K., Prajapati, P., Gavazzi, M., Sun, G., McNulty, S., Li, X., Domec, J., Miao, G., King, J. (2020) Long-Term Carbon Flux And Balance In Managed And Natural Coastal Forested Wetlands Of The Southeastern Usa, Agricultural And Forest Meteorology, 288-289, 108022. https://doi.org/10.1016/j.agrformet.2020.108022
2021 Aguilos, M., Sun, G., Noormets, A., Domec, J., McNulty, S., Gavazzi, M., Minick, K., Mitra, B., Prajapati, P., Yang, Y., King, J. (2021) Effects Of Land-Use Change And Drought On Decadal Evapotranspiration And Water Balance Of Natural And Managed Forested Wetlands Along The Southeastern Us Lower Coastal Plain, Agricultural And Forest Meteorology, 303, 108381. https://doi.org/10.1016/j.agrformet.2021.108381
2022 Aguilos, M., Warr, I., Irving, M., Gregg, O., Grady, S., Peele, T., Noormets, A., Sun, G., Liu, N., McNulty, S., Pettay, F., Bhattacharya, S., Penney, S., Kerrigan, M., Yang, L., Mitra, B., Prajapati, P., Minick, K., King, J. (2022) The Unabated Atmospheric Carbon Losses In A Drowning Wetland Forest Of North Carolina: A Point Of No Return?, Forests, 13(8), 1264. https://doi.org/10.3390/f13081264
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-Haëntjens, 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
2017 Miao, G., Noormets, A., Domec, J., Fuentes, M., Trettin, C. C., Sun, G., McNulty, S. G., King, J. S. (2017) Hydrology And Microtopography Control Carbon Dynamics In Wetlands: Implications In Partitioning Ecosystem Respiration In A Coastal Plain Forested Wetland, Agricultural And Forest Meteorology, 247, 343-355. https://doi.org/10.1016/j.agrformet.2017.08.022
2020 Feagin, R. A., Forbrich, I., Huff, T. P., Barr, J. G., Ruiz‐Plancarte, J., Fuentes, J. D., Najjar, R. G., Vargas, R., Vázquez‐Lule, A., Windham‐Myers, L., Kroeger, K. D., Ward, E. J., Moore, G. W., Leclerc, M., Krauss, K. W., Stagg, C. L., Alber, M., Knox, S. H., Schäfer, K. V., Bianchi, T. S., Hutchings, J. A., Nahrawi, H., Noormets, A., Mitra, B., Jaimes, A., Hinson, A. L., Bergamaschi, B., King, J. S., Miao, G. (2020) Tidal Wetland Gross Primary Production Across The Continental United States, 2000–2019, Global Biogeochemical Cycles, 34(2), . https://doi.org/10.1029/2019GB006349
2018 Minick, K., Kelley, A., Miao, G., Li, X., Noormets, A., Mitra, B., King, J.S. (2018) Microtopography Alters Hydrology, Phenol Oxidase Activity and Nutrient Availability in Organic Soils of a Coastal Freshwater Forested Wetland, Wetlands, 1-11. https://doi.org/10.1007
2013 Miao, G., Noormets, A., Domec, J., Trettin, C. C., McNulty, S. G., Sun, G., King, J. S. (2013) The Effect Of Water Table Fluctuation On Soil Respiration In A Lower Coastal Plain Forested Wetland In The Southeastern U.S., Journal Of Geophysical Research: Biogeosciences, 118(4), 1748-1762. https://doi.org/10.1002/2013JG002354

US-NC4: NC_AlligatorRiver

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.

* Online updates are shown on the Overview tab real time. However, downloaded BADM files will not reflect those updates until they have been reviewed for QA/QC.

US-NC4: NC_AlligatorRiver

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 823m x 823m
  • Data Collected:
    • Wind roses use variables ‘WS’ and ‘WD’.
    Download Data Download Wind Rose as Image File (PNG)

    Wind Speed (m/s)

  • Graph Type
  • Wind Speed Scale
  • Wind Direction Scale (%)
  • Show Satellite Image
  • Show Wind Rose
    • Annual Average
    About Ameriflux Wind Roses
    Wind Rose Explanation
    A wind rose 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
    Utility
    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.
    Data from each site can be downloaded by clicking the ‘download’ button.
    Hover the cursor over a wind rose to obtain directions, speeds and intensities.
    Note that wind roses are not equivalent to flux footprints. Specifically, the term flux footprint describes an upwind area “seen” by the instruments measuring vertical turbulent fluxes, such that heat, water, gas and momentum transport generated in this area is registered by the instruments. Wind roses, on the other hand, identify only the direction and speed of wind.
    Where do these data come from?
    The wind roses are based on observed hourly data from the sites registered with the AmeriFlux Network.
    Parameters for AmeriFlux Wind Roses
    To use wind roses for a single AmeriFlux site, the following parameters may be most useful:
    • Wind Speed Scale: Per Site
    • Wind Direction Scale (%): Per Site
    To compare wind roses from more than one single AmeriFlux site, the following parameters may be most useful:
    • Wind Speed Scale: Non-Linear
    • Wind Direction Scale (%): AmeriFlux
    Mar - Jun; 6am - 6pm
    Mar - Jun; 6pm - 6am
    Jun - Sep; 6am - 6pm
    Jun - Sep; 6pm - 6am
    Sep - Dec; 6am - 6pm
    Sep - Dec; 6pm - 6am
    Dec - Mar; 6am - 6pm
    Dec - Mar; 6pm - 6am