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US-Vcp: Valles Caldera Ponderosa Pine

Tower_team:
PI: Marcy Litvak mlitvak@unm.edu - University of New Mexico
DataManager: Rae DeVan raedevan@unm.edu - University of New Mexico
Technician: Anthony Luketich luketich@unm.edu - University of New Mexico
Lat, Long: 35.8642, -106.5967
Elevation(m): 2500
Network Affiliations: AmeriFlux
Vegetation IGBP: ENF (Evergreen Needleleaf Forests: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 meters. Almost all trees remain green all year. Canopy is never without green foliage.)
Climate Koeppen: Dfb (Warm Summer Continental: significant precipitation in all seasons )
Mean Annual Temp (°C): 9.8
Mean Annual Precip. (mm): 550
Flux Species Measured: CO2, H2O
Years Data Collected: 2007 - Present
Years Data Available:

AmeriFlux BASE 2007 - 2023   Data Citation

AmeriFlux FLUXNET 2007 - 2023   Data Citation
Data Use Policy:AmeriFlux CC-BY-4.0 Policy1
Description:
The Valles Caldera Ponderosa Pine site is located in the 1200km2 Jemez River basin of the Jemez Mountains in north-central New Mexico at the southern margin ...
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URL: http://www.litvaklab.org/ponderosa-pine.html
Research Topics:
Research topics and objectives include 1) To understand the coupled water and energy cycles in semiarid environments; 2) Quantify carbon, water and energy ...
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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, 07/10/2014
Copyright preference: Open use
Site Publication More Site Publications

US-Vcp: Valles Caldera Ponderosa Pine

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

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

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1246122
    Citation: Marcy Litvak (2024), AmeriFlux BASE US-Vcp Valles Caldera Ponderosa Pine, Ver. 23-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246122
  • AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/2229392
    Citation: Marcy Litvak (2024), AmeriFlux FLUXNET-1F US-Vcp Valles Caldera Ponderosa Pine, Ver. 4-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2229392

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-Vcp: Valles Caldera Ponderosa Pine

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US-Vcp: Valles Caldera Ponderosa Pine

Year Publication
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
2020 Knowles, J. F., Scott, R. L., Biederman, J. A., Blanken, P. D., Burns, S. P., Dore, S., Kolb, T. E., Litvak, M. E., Barron‐Gafford, G. A. (2020) Montane Forest Productivity Across A Semiarid Climatic Gradient, Global Change Biology, 26(12), 6945-6958. https://doi.org/10.1111/gcb.15335
2016 Biederman, J. A., Scott, R. L., Goulden, M. L., Vargas, R., Litvak, M. E., Kolb, T. E., Yepez, E. A., Oechel, W. C., Blanken, P. D., Bell, T. W., Garatuza-Payan, J., Maurer, G. E., Dore, S., Burns, S. P. (2016) Terrestrial Carbon Balance In A Drier World: The Effects Of Water Availability In Southwestern North America, Global Change Biology, 22(5), 1867-1879. https://doi.org/10.1111/gcb.13222
2016 Wolf, S., Keenan, T. F., Fisher, J. B., Baldocchi, D. D., Desai, A. R., Richardson, A. D., Scott, R. L., Law, B. E., Litvak, M. E., Brunsell, N. A., Peters, W., van der Laan-Luijkx, I. T. (2016) Warm Spring Reduced Carbon Cycle Impact Of The 2012 Us Summer Drought, Proceedings Of The National Academy Of Sciences, 113(21), 5880-5885. https://doi.org/10.1073/pnas.1519620113
2017 Biederman, J. A., Scott, R. L., Bell, T. W., Bowling, D. R., Dore, S., Garatuza-Payan, J., Kolb, T. E., Krishnan, P., Krofcheck, D. J., Litvak, M. E., Maurer, G. E., Meyers, T. P., Oechel, W. C., Papuga, S. A., Ponce-Campos, G. E., Rodriguez, J. C., Smith, W. K., Vargas, R., Watts, C. J., Yepez, E. A., Goulden, M. L. (2017) Co2 Exchange And Evapotranspiration Across Dryland Ecosystems Of Southwestern North America, Global Change Biology, 23(10), 4204-4221. https://doi.org/10.1111/gcb.13686
2018 Smith, W. K., Biederman, J. A., Scott, R. L., Moore, D. J., He, M., Kimball, J. S., Yan, D., Hudson, A., Barnes, M. L., MacBean, N., Fox, A. M., Litvak, M. E. (2018) Chlorophyll Fluorescence Better Captures Seasonal And Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems Of Southwestern North America, Geophysical Research Letters, 45(2), 748-757. https://doi.org/10.1002/2017GL075922
2018 Perdrial, J., Brooks, P. D., Swetnam, T., Lohse, K. A., Rasmussen, C., Litvak, M., Harpold, A. A., Zapata-Rios, X., Broxton, P., Mitra, B., Meixner, T., Condon, K., Huckle, D., Stielstra, C., Vázquez-Ortega, A., Lybrand, R., Holleran, M., Orem, C., Pelletier, J., Chorover, J. (2018) A Net Ecosystem Carbon Budget For Snow Dominated Forested Headwater Catchments: Linking Water And Carbon Fluxes To Critical Zone Carbon Storage, Biogeochemistry, 138(3), 225-243. https://doi.org/10.1007%2Fs10533-018-0440-3
2018 Knowles, J. F., Molotch, N. P., Trujillo, E., Litvak, M. E. (2018) Snowmelt‐Driven Trade‐Offs Between Early And Late Season Productivity Negatively Impact Forest Carbon Uptake During Drought, Geophysical Research Letters, 45(7), 3087-3096. https://doi.org/10.1002/2017GL076504
2019 Remy, C. C., Krofcheck, D. J., Keyser, A. R., Litvak, M. E., Collins, S. L., Hurteau, M. D. (2019) Integrating Species‐Specific Information In Models Improves Regional Projections Under Climate Change, Geophysical Research Letters, 46(12), 6554-6562. https://doi.org/10.1029/2019GL082762
2019 Senay, G. B., Schauer, M., Velpuri, N. M., Singh, R. K., Kagone, S., Friedrichs, M., Litvak, M. E., Douglas-Mankin, K. R. (2019) Long-Term (1986–2015) Crop Water Use Characterization Over The Upper Rio Grande Basin Of United States And Mexico Using Landsat-Based Evapotranspiration, Remote Sensing, 11(13), 1587. https://doi.org/doi:10.3390/rs11131587
2011 Anderson-Teixeira, K. J., Delong, J. P., Fox, A. M., Brese, D. A., Litvak, M. E. (2011) Differential Responses Of Production And Respiration To Temperature And Moisture Drive The Carbon Balance Across A Climatic Gradient In New Mexico, Global Change Biology, 17(1), 410-424. https://doi.org/10.1111/j.1365-2486.2010.02269.x
2016 Wolf, S., Keenan, T.F., Fisher, J.B., Baldocchi, D.D., Desai, A.R., Richardson, A.D., Scott, R.L., Law, B.E., Litvak, M.E., Brunsell, N.A., Peters, W., van der Laan-Luijkx, I.T. (2016) Warm spring reduced carbon cycle impact of the 2012 US summer drought, Proceedings of the National Academy of Sciences, 113(21), 5880-5885. https://doi.org/10.1073/pnas.1519620113

US-Vcp: Valles Caldera Ponderosa Pine

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-Vcp: Valles Caldera Ponderosa Pine

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