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BR-Sa1: Santarem-Km67-Primary Forest

Tower_team:
PI: Scott Saleska saleska@email.arizona.edu - University of Arizona
ANCCONTACT: Steve Wofsy swofsy@seas.harvard.edu - Harvard University
Lat, Long: -2.85667, -54.9588900
Elevation(m): 88
Network Affiliations: AmeriFlux, LBA
Vegetation IGBP: EBF (Evergreen Broadleaf Forests)
Climate Koeppen: Am (Tropical monsoon)
Mean Annual Temp (°C): 26.13
Mean Annual Precip. (mm): 2074.79
Flux Species Measured: CO2
Years Data Collected: AmeriFlux: 2002 - Present
Description:
The LBA Tapajos KM67 Mature Forest site is located in the Tapajos National Forest, a 450,000 ha closed-canopy upland forest in Amazonian Brazil. Bounded ...
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URL: http://atmos.seas.harvard.edu/lab/brazil/index.html
Research Topics:
The research and science objectives of the LBA Tapajos KM67 Mature Forest site are as follows: 1) Investigate the long-term interannual variance of carbon ...
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Acknowledgment: —
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BR-Sa1: Santarem-Km67-Primary Forest

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

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Acknowledgements

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Resources

BR-Sa1: Santarem-Km67-Primary Forest

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

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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BR-Sa1: Santarem-Km67-Primary Forest

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.

BR-Sa1: Santarem-Km67-Primary Forest

Year Publication
2018 Hayek, M. N., Wehr, R., Longo, M., Hutyra, L. R., Wiedemann, K., Munger, J. W., Bonal, D., Saleska, S. R., Fitzjarrald, D. R., Wofsy, S. C. (2018) A Novel Correction For Biases In Forest Eddy Covariance Carbon Balance, Agricultural And Forest Meteorology, 250-251, 90-101.
2005 Wick, B., Veldkamp, E., Mello, W. Z. De, Keller, M., Crill, P. (2005) Nitrous Oxide Fluxes And Nitrogen Cycling Along A Pasture Chronosequence In Central Amazonia, Brazil, Biogeosciences, 2(2), 175-187.
2004 Chambers, J. Q., Tribuzy, E. S., Toledo, L. C., Crispim, B. F., Higuchi, N., Santos, J. d., Araújo, A. C., Kruijt, B., Nobre, A. D., Trumbore, S. E. (2004) Respiration From A Tropical Forest Ecosystem: Partitioning Of Sources And Low Carbon Use Efficiency, Ecological Applications, 14(sp4), 72-88.
2003 Saleska, S. R., Miller, S. D., Matross, D. M., Goulden, M. L., Wofsy, S. C., Rocha, H. R. da, Camargo, P. B. de, Crill, P., Daube, B. C., Freitas, H. C. de, Hutyra, L., Keller, M., Kirchhoff, V., Menton, M., Munger, J. W., Pyle, E. H., Rice, A. H., Silva, H. (2003) Carbon In Amazon Forests: Unexpected Seasonal Fluxes And Disturbance-Induced Losses, Science, 302(5650), 1554-1557.
2004 Keller, M., Alencar, A., Asner, G. P., Braswell, B., Bustamante, M., Davidson, E., Feldpausch, T., Fernandes, E., Goulden, M., Kabat, P., Kruijt, B., Luizão, F., Miller, S., Markewitz, D., Nobre, A. D., Nobre, C. A., Priante Filho, N., da Rocha, H., Silva Dias, P., von Randow, C., Vourlitis, G. L. (2004) Ecological Research In The Large-Scale Biosphere– Atmosphere Experiment In Amazonia: Early Results, Ecological Applications, 14(sp4), 3-16.
2004 Baker, T. R., Phillips, O. L., Malhi, Y., Almeida, S., Arroyo, L., Di Fiore, A., Erwin, T., Killeen, T. J., Laurance, S. G., Laurance, W. F., Lewis, S. L., Lloyd, J., Monteagudo, A., Neill, D. A., Patino, S., Pitman, N. C., M. Silva, J. N., Vasquez Martinez, R. (2004) Variation In Wood Density Determines Spatial Patterns Inamazonian Forest Biomass, Global Change Biology, 10(5), 545-562.
2004 Rice, A. H., Pyle, E. H., Saleska, S. R., Hutyra, L., Palace, M., Keller, M., de Camargo, P. B., Portilho, K., Marques, D. F., Wofsy, S. C. (2004) Carbon Balance And Vegetation Dynamics In An Old-Growth Amazonian Forest, Ecological Applications, 14(sp4), 55-71.
2004 Kruijt, B., Elbers, J. A., von Randow, C., Araújo, A. C., Oliveira, P. J., Culf, A., Manzi, A. O., Nobre, A. D., Kabat, P., Moors, E. J. (2004) The Robustness Of Eddy Correlation Fluxes For Amazon Rain Forest Conditions, Ecological Applications, 14(sp4), 101-113.
2004 Vourlitis, G. L., Priante Filho, N., Hayashi, M. M., Nogueira, J. d., Raiter, F., Hoegel, W., Campelo, Jr, J. H. (2004) Effects Of Meteorological Variations On The CO2 Exchange Of A Brazilian Transitional Tropical Forest, Ecological Applications, 14(sp4), 89-100.
2004 Riggan, P. J., Tissell, R. G., Lockwood, R. N., Brass, J. A., Pereira, J. A., Miranda, H. S., Miranda, A. C., Campos, T., Higgins, R. (2004) Remote Measurement Of Energy And Carbon Flux From Wildfires In Brazil, Ecological Applications, 14(3), 855-872.
2004 Martens, C. S., Shay, T. J., Mendlovitz, H. P., Matross, D. M., Saleska, S. R., Wofsy, S. C., Woodward, W. S., Menton, M. C., De Moura, J. M., Crill, P. M., De Moraes, O. L., Lima, R. L. (2004) Radon Fluxes In Tropical Forest Ecosystems Of Brazilian Amazonia: Night-Time CO2 Net Ecosystem Exchange Derived From Radon And Eddy Covariance Methods, Global Change Biology, 10(5), 618-629.
2004 Quesada, C. A., Miranda, A. C., Hodnett, M. G., Santos, A. J., Miranda, H. S., Breyer, L. M. (2004) Seasonal And Depth Variation Of Soil Moisture In A Burned Open Savanna (Campo Sujo) In Central Brazil, Ecological Applications, 14(sp4), 33-41.
2005 Gu, L., Falge, E. M., Boden, T., Baldocchi, D. D., Black, T., Saleska, S. R., Suni, T., Verma, S. B., Vesala, T., Wofsy, S. C., Xu, L. (2005) Objective Threshold Determination For Nighttime Eddy Flux Filtering, Agricultural And Forest Meteorology, 128(3-4), 179-197.

BR-Sa1: Santarem-Km67-Primary Forest

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.

BR-Sa1: Santarem-Km67-Primary Forest

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 1014m x 1014m
  • 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