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US-SRM: Santa Rita Mesquite

Tower_team:
PI: Russell Scott russ.scott@ars.usda.gov - United States Department of Agriculture
Lat, Long: 31.8214, -110.8661
Elevation(m): 1120
Network Affiliations: AmeriFlux, LTAR, Phenocam
Vegetation IGBP: WSA (Woody Savannas: Lands with herbaceous and other understory systems, and with forest canopy cover between 30-60%. The forest cover height exceeds 2 meters.)
Climate Koeppen: Bsk (Steppe: warm winter)
Mean Annual Temp (°C): 17.92
Mean Annual Precip. (mm): 380
Flux Species Measured: CO2, H2O
Years Data Collected: 2004 - Present
Years Data Available:

AmeriFlux BASE 2004 - 2024   Data Citation

AmeriFlux FLUXNET 2004 - 2023   Data Citation
Data Use Policy:AmeriFlux CC-BY-4.0 Policy1
Description: Semidesert grassland encroached by mesquite (Prosopis velutina) trees. Please see Scott et al. 2009 JGR-Biogeo, 114, G04004
URL: http://ag.arizona.edu/SRER/
Research Topics:
Long-term water, carbon and energy flux measurements (eddy covariance). Determining how woody plant encroachment affects water and carbon cycling. Comparing ...
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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: Russell Scott, 09/12/2016
Copyright preference: As long as credit is given
Site Publication More Site Publications
Scott, R.L., Jenerette, G.D., Potts, D.L., Huxman, T.E. 2009. Effects Of Seasonal Drought On Net Carbon Dioxide Exchange From A Woody-Plant-Encroached Semiarid Grassland, Journal Of Geophysical Research: Biogeosciences, 114:G4, n/a-n/a.

US-SRM: Santa Rita Mesquite

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

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

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1246104
    Citation: Russell Scott (2024), AmeriFlux BASE US-SRM Santa Rita Mesquite, Ver. 28-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246104
  • AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/2475756
    Citation: Russell Scott (2024), AmeriFlux FLUXNET-1F US-SRM Santa Rita Mesquite, Ver. 3-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2475756

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

    —

Resources

US-SRM: Santa Rita Mesquite

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US-SRM: Santa Rita Mesquite

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
2013 Barron-Gafford, G. A., Scott, R. L., Jenerette, G. D., Hamerlynck, E. P., Huxman, T. E. (2013) Landscape And Environmental Controls Over Leaf And Ecosystem Carbon Dioxide Fluxes Under Woody Plant Expansion, Journal Of Ecology, 101(6), 1471-1483. https://doi.org/10.1111/1365-2745.12161
2019 Novick, K. A., Konings, A. G., Gentine, P. (2019) Beyond Soil Water Potential: An Expanded View On Isohydricity Including Land–Atmosphere Interactions And Phenology, Plant, Cell & Environment, 42(6), 1802-1815. https://doi.org/10.1111/pce.13517
2019 Zhang, Q., Ficklin, D. L., Manzoni, S., Wang, L., Way, D., Phillips, R. P., Novick, K. A. (2019) Response Of Ecosystem Intrinsic Water Use Efficiency And Gross Primary Productivity To Rising Vapor Pressure Deficit, Environmental Research Letters, 14(7), 074023. https://doi.org/10.1088/1748-9326/ab2603
2016 Novick, K. A., Ficklin, D. L., Stoy, P. C., Williams, C. A., Bohrer, G., Oishi, A., Papuga, S. A., Blanken, P. D., Noormets, A., Sulman, B. N., Scott, R. L., Wang, L., Phillips, R. P. (2016) The Increasing Importance Of Atmospheric Demand For Ecosystem Water And Carbon Fluxes, Nature Climate Change, 6(11), 1023-1027. https://doi.org/10.1038/nclimate3114
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
2019 Sullivan, R. C., Kotamarthi, V. R., Feng, Y. (2019) Recovering Evapotranspiration Trends From Biased CMIP5 Simulations And Sensitivity To Changing Climate Over North America, Journal Of Hydrometeorology, 20(8), 1619-1633. https://doi.org/10.1175/JHM-D-18-0259.1
2019 Sullivan, R. C., Cook, D. R., Ghate, V. P., Kotamarthi, V. R., Feng, Y. (2019) Improved Spatiotemporal Representativeness And Bias Reduction Of Satellite-Based Evapotranspiration Retrievals Via Use Of In Situ Meteorology And Constrained Canopy Surface Resistance, Journal Of Geophysical Research: Biogeosciences, 124(2), 342-352. https://doi.org/10.1029/2018JG004744
2018 Chu, H., Baldocchi, D. D., Poindexter, C., Abraha, M., Desai, A. R., Bohrer, G., Arain, M. A., Griffis, T., Blanken, P. D., O'Halloran, T. L., Thomas, R. Q., Zhang, Q., Burns, S. P., Frank, J. M., Christian, D., Brown, S., Black, T. A., Gough, C. M., Law, B. E., Lee, X., Chen, J., Reed, D. E., Massman, W. J., Clark, K., Hatfield, J., Prueger, J., Bracho, R., Baker, J. M., Martin, T. A. (2018) Temporal Dynamics Of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks, Geophysical Research Letters, 45, 9275–9287. https://doi.org/10.1029/2018GL079306
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 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. https://doi.org/10.1016/j.agrformet.2018.05.005
2015 Dennis Baldocchi, Cove Sturtevant (2015) Does day and night sampling reduce spurious correlation between canopy photosynthesis and ecosystem respiration?, Agricultural and Forest Meteorology, 207, 117-126. https://doi.org/10.1016/j.agrformet.2015.03.010
2009 Potts, D. L., Scott, R. L., Bayram, S., Carbonara, J. (2009) Woody Plants Modulate The Temporal Dynamics Of Soil Moisture In A Semi-Arid Mesquite Savanna, Ecohydrology, 3(1), 20-27. https://doi.org/10.1002/eco.91
2010 Scott, R. L. (2010) Using Watershed Water Balance To Evaluate The Accuracy Of Eddy Covariance Evaporation Measurements For Three Semiarid Ecosystems, Agricultural And Forest Meteorology, 150(2), 219-225. https://doi.org/10.1016/j.agrformet.2009.11.002
2011 Barron-Gafford, G.A., Scott, R.L., Jenerette, G.D., Huxman, T.E. (2011) The Relative Controls Of Temperature, Soil Moisture, And Plant Functional Group On Soil CO2 Efflux At Diel, Seasonal, And Annual Scales, Journal Of Geophysical Research, 116(G1), n/a-n/a. https://doi.org/10.1029/2010jg001442
2009 Scott, R.L., Jenerette, G.D., Potts, D.L., Huxman, T.E. (2009) Effects Of Seasonal Drought On Net Carbon Dioxide Exchange From A Woody-Plant-Encroached Semiarid Grassland, Journal Of Geophysical Research: Biogeosciences, 114(G4), n/a-n/a. https://doi.org/10.1029/2008jg000900
2013 Barron-Gafford, G. A., Scott, R. L., Jenerette, G. D., Hamerlynck, E. P., Huxman, T. E. (2013) Landscape And Environmental Controls Over Leaf And Ecosystem Carbon Dioxide Fluxes Under Woody Plant Expansion, Journal Of Ecology, 101(6), 1471-1483. https://doi.org/10.1111/1365-2745.12161
2008 Scott, R. L., Cable, W. L., Hultine, K. R. (2008) The Ecohydrologic Significance Of Hydraulic Redistribution In A Semiarid Savanna, Water Resources Research, 44(W02440), n/a-n/a. https://doi.org/10.1029/2007wr006149
2012 Hamerlynck, E. P., Scott, R. L., Barron-Gafford, G. A., Cavanaugh, M. L., Susan Moran, M., Huxman, T. E. (2012) Cool-Season Whole-Plant Gas Exchange Of Exotic And Native Semiarid Bunchgrasses, Plant Ecology, 213(8), 1229-1239. https://doi.org/10.1007/s11258-012-0081-x
2015 Scott, R.L., Biederman, J.A., Hamerlynck, E.P., Barron-Gafford, G. (2015) The carbon balance pivot point of southwestern U.S. semiarid ecosystems: Insights from the 21st century drought, Journal of Geophysical Research: Biogeosciences, 120, 2612-2624. https://doi.org/10.1002/2015JG003181
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-SRM: Santa Rita Mesquite

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-SRM: Santa Rita Mesquite

Wind Roses

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  • Image scale: 862m x 862m
  • 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