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Tower_team:
PI: Chris Oishi christopher.oishi@gmail.com - USDA Forest Service
PI: Kim Novick knovick@indiana.edu - Indiana University
PI: Paul Stoy paul.stoy@montana.edu - Montana State University
Lat, Long: 35.9735800, -79.1004300
Elevation(m): 168
Network Affiliations: AmeriFlux
Vegetation IGBP: DBF (Deciduous Broadleaf Forests)
Climate Koeppen: Cfa (Humid Subtropical: mild with no dry season, hot summer)
Mean Annual Temp (°C): 14.36
Mean Annual Precip. (mm): 1168.69
Flux Species Measured: CO2
Years Data Collected: AmeriFlux: 2001 - 2008
Description: private land adjacent to the Duke Forest in November 2002
URL: http://www.nicholas.duke.edu/other/AMERIFLUX/amerflux.html
Research Topics:
The research objectives of the Duke Forest Hardwoods site are as follows: 1) Examine ecological roles of vegetation and climate in controlling long-term ...
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Acknowledgment:
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Instructions for DOIs for This Site

When using DOIs for this site, use the publications and acknowledgments listed below.

DOIs

Publications to use for Citations for this Site

Acknowledgements

Resources

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NOTE: Version refers to the version of the AmeriFlux BASE-BADM product for the site was downloaded by the user and the download count indicates the number of times the person downloaded that version. The download count indicates the number of times the person downloaded the data.

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MODIS NDVI

Normalized Difference Vegetation Index image for this site.

For time series, data download and other MODIS products for this site, visit MODIS cutouts.

Citation

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Citation:

ORNL DAAC. 2008. MODIS Collection 5 Fixed Sites Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1251

Read more on how to cite these MODIS images. Data come from NASA’s MODIS instruments installed on satellites Terra and Aqua, which scan the entire Earth’s surface every one to two days.

Year Publication
2018 Zhang, Q., Phillips, R. P., Manzoni, S., Scott, R. L., Oishi, A. C., Finzi, A., Daly, E., Vargas, R., Novick, K. A. (2018) Changes In Photosynthesis And Soil Moisture Drive The Seasonal Soil Respiration-Temperature Hysteresis Relationship, Agricultural And Forest Meteorology, 259, 184-195.
2011 Schmidt, M. W., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G., Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, D. A., Nannipieri, P., Rasse, D. P., Weiner, S., Trumbore, S. E. (2011) Persistence Of Soil Organic Matter As An Ecosystem Property, Nature, 478(7367), 49-56.
2008 Oishi, A. C., Oren, R., Stoy, P. C. (2008) Estimating Components Of Forest Evapotranspiration: A Footprint Approach For Scaling Sap Flux Measurements, Agricultural And Forest Meteorology, 148(11), 1719-1732.
2005 Butnor, J. R., Johnsen, K. H., Maier, C. A. (2005) Soil Properties Differently Influence Estimates Of Soil CO2 Efflux From Three Chamber-Based Measurement Systems, Biogeochemistry, 73(1), 283-301.
2004 Ellsworth, D. S., Reich, P. B., Naumburg, E. S., Koch, G. W., Kubiske, M. E., Smith, S. D. (2004) Photosynthesis, Carboxylation And Leaf Nitrogen Responses Of 16 Species To Elevated pCO2 Across Four Free-Air CO2 Enrichment Experiments In Forest, Grassland And Desert, Global Change Biology, 10(12), 2121-2138.
2009 Novick, K., Oren, R., Stoy, P., Siqueira, M., Katul, G. (2009) Nocturnal Evapotranspiration In Eddy-Covariance Records From Three Co-Located Ecosystems In The Southeastern U.S.: Implications For Annual Fluxes, Agricultural And Forest Meteorology, 149(9), 1491-1504.
2003 Katul, G., Leuning, R., Oren, R. (2003) Relationship Between Plant Hydraulic And Biochemical Properties Derived From A Steady-State Coupled Water And Carbon Transport Model, Plant, Cell And Environment, 26(3), 339-350.
2006 Siqueira, M. B., Katul, G. G., Sampson, D. A., Stoy, P. C., Juang, J., Mccarthy, H. R., Oren, R. (2006) Multiscale Model Intercomparisons Of CO2 And H2O Exchange Rates In A Maturing Southeastern US Pine Forest, Global Change Biology, 12(7), 1189-1207.
2003 Pataki, D., Oren, R. (2003) Species Differences In Stomatal Control Of Water Loss At The Canopy Scale In A Mature Bottomland Deciduous Forest, Advances In Water Resources, 26(12), 1267-1278.
2006 Oren, R., Hsieh, C., Stoy, P., Albertson, J., Mccarthy, H. R., Harrell, P., Katul, G. G. (2006) Estimating The Uncertainty In Annual Net Ecosystem Carbon Exchange: Spatial Variation In Turbulent Fluxes And Sampling Errors In Eddy-Covariance Measurements, Global Change Biology, 12(5), 883-896.
2004 Bond-Lamberty, B., Wang, C., Gower, S. T. (2004) A Global Relationship Between The Heterotrophic And Autotrophic Components Of Soil Respiration?, Global Change Biology, 10(10), 1756-1766.
2007 Juang, J., Porporato, A., Stoy, P. C., Siqueira, M. S., Oishi, A. C., Detto, M., Kim, H., Katul, G. G. (2007) Hydrologic And Atmospheric Controls On Initiation Of Convective Precipitation Events, Water Resources Research, 43(3), n/a-n/a.
2015 Domec, J.C., Ward, E.J., Oishi, A.C., Palmroth, S., Radecki, A., Bell, D.M., Miao, G., Gavazzi, M., Johnson, D.M., King, J.S., McNulty, S.G., Oren, R., Sun, G., Noormets, A. (2015) Conversion of natural forests to managed forest plantations impacts tree response to climatic variable and affects negatively tree resistance to prolonged droughts, Forest Ecology and Management, 355, 58-71.

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.

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 821m x 821m
  • 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
    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