US-Vcp: Valles Caldera Ponderosa Pine
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| 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 - 2024 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 ... 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 of the Rocky Mountain ecoregion. The Ponderosa Pine forest is the warmest and lowest (below 2700m) zone of the forests in the Valles Caldera National Preserve. Its vegetation is composed of a Ponderosa Pine (Pinus Ponderosa) overstory and a Gambel Oak (Quercus gambelii) understory. See MoreShow Less |
| 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 ... Research topics and objectives include 1) To understand the coupled water and energy cycles in semiarid environments; 2) Quantify carbon, water and energy fluxes in addition to inter-annual variability in these fluxes; 3) Quantify the extent to which water and carbon fluxes are controlled by soil moisture and rainfall, and the sensitivity of fluxes in this biome to changes in temperature and precipitation. See MoreShow Less |
| Acknowledgment: | — |
- 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.
Copyright preference: Open use
US-Vcp: Valles Caldera Ponderosa Pine
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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. 24-5, 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
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US-Vcp: Valles Caldera Ponderosa Pine
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This page displays the list of downloads of data for the site US-Vcp.
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| Date | Name | Data Product | Version | Intended Use | Intended Use Description | Download Count |
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US-Vcp: Valles Caldera Ponderosa Pine
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| AmeriFlux Images | Add Image |
US-Vcp Ponderosa Pine flux tower in the Valles Caldera
Keywords: —
Location: New Mexico, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-Vcp: Valles Caldera Ponderosa Pine
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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.
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. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. 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.
PhenoCam Images and Derived Time Series Data
PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .
No PhenoCam data for this siteGeoNEX Data Products
GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.
The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.
GeoNEX pixels below cover the area 0.06° x 0.06° around and including site US-Vcp, 35.8642, -106.5967.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
Graph controls:
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NDVI: Normalized Difference Vegetation Index
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel:
NIRv Near-Infrared Reflectance of vegetation
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel:
DSR: Surface downward shortwave radiation
Resolution: 0.01° x 0.01° & Hourly
Coordinates for pixel:
LST: Land Surface Temperature
Resolution: 0.02° x 0.02° & Hourly
Coordinates for pixel:
Citation
This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.
Subset Data Citation:
- Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.
Relevant Science Publication Citation:
GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)- Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.
- Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.
- Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.
US-Vcp: Valles Caldera Ponderosa Pine
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| AmeriFlux Publications | Add Publication |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
US-Vcp: Valles Caldera Ponderosa Pine
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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.
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US-Vcp: Valles Caldera Ponderosa Pine
- Overview
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Wind Roses
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