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Tower_team:
PI: Dennis Baldocchi baldocchi@berkeley.edu - University of California, Berkeley
AncContact: Joe Verfaillie jverfail@berkeley.edu - University of California, Berkeley
FluxContact: Ariane Arias Ortiz aariasortiz@berkeley.edu - UC Berkeley
Technician: Daphne Szutu daphneszutu@berkeley.edu - UC Berkeley
Lat, Long: 38.0499, -121.7650
Elevation(m): -4
Network Affiliations: AmeriFlux, Phenocam
Vegetation IGBP: WET (Permanent Wetlands: Lands with a permanent mixture of water and herbaceous or woody vegetation that cover extensive areas. The vegetation can be present in either salt, brackish, or fresh water)
Climate Koeppen: Csa (Mediterranean: mild with dry, hot summer)
Mean Annual Temp (°C): 15.9
Mean Annual Precip. (mm): 338
Flux Species Measured: CO2, CH4, H2O
Years Data Collected: 2010 - Present
Years Data Available:

AmeriFlux BASE 2010 - 2021   Data Citation

AmeriFlux FLUXNET 2010 - 2021   Data Citation

Data Use Policy:AmeriFlux CC-BY-4.0 Policy1
Description:
The Mayberry Wetland site is a 300-acre restored wetland on Sherman Island, north of Mayberry Slough, that is on the property of Mayberry Farms and managed ...
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URL: http://nature.berkeley.edu/biometlab/sites.php?tab=US-Myb
Research Topics:
The research approach of the University of California, Berkeley Biometeorology Laboratory involves the coordinated use of experimental measurements and ...
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Acknowledgment: Biometeorology Lab, University of California, Berkeley, PI: Dennis Baldocchi
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:
Copyright preference: Request for permission
Site Publication More Site Publications
Knox, S. H.,, Sturtevant, C., Matthes, J.H., Koteen, L., Verfaillie,J., Baldocchi. D. 2014. Agricultural peatland restoration: effects of land-use change on greenhouse gas (CO2 and CH4) fluxes in the Sacramento-San Joaquin Delta, Global Change Biology, 21, 750-765.

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

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

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1246139
    Citation: Jaclyn Hatala Matthes, Cove Sturtevant, Patty Oikawa, Samuel D Chamberlain, Daphne Szutu, Ariane Arias-Ortiz, Joseph Verfaillie, Dennis Baldocchi (2022), AmeriFlux BASE US-Myb Mayberry Wetland, Ver. 13-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246139
  • AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/1871139
    Citation: Jaclyn Hatala Matthes, Cove Sturtevant, Patty Oikawa, Samuel D Chamberlain, Daphne Szutu, Ariane Arias-Ortiz, Joseph Verfaillie, Dennis Baldocchi (2022), AmeriFlux FLUXNET-1F US-Myb Mayberry Wetland, Ver. 3-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1871139

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

Acknowledgements

Resources

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Note: Results are the number of downloads to distinct data users. The Download Count column indicates the number of times the data user downloaded the data. The Version column refers to the version of the data product for the site that was downloaded by the data user.

Year Range

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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.

Includes all pixels that have acceptable quality

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. MODIS and VIIRS Land Products Fixed Sites Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567

Read more on how to cite these MODIS products. 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.

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.

Year Publication
2021 Arias‐Ortiz, A., Oikawa, P. Y., Carlin, J., Masqué, P., Shahan, J., Kanneg, S., Paytan, A., Baldocchi, D. D. (2021) Tidal And Nontidal Marsh Restoration: A Trade‐Off Between Carbon Sequestration, Methane Emissions, And Soil Accretion, Journal Of Geophysical Research: Biogeosciences, 126(12), . https://doi.org/10.1029/2021JG006573
2021 Valach, Alex C. Kasak, Kuno Hemes, Kyle S. Szutu, Daphne Verfaillie, Joe Baldocchi, Dennis D. (2021) Carbon Flux Trajectories and Site Conditions from Restored Impounded Marshes in the Sacramento-San Joaquin Delta, Wetland Carbon and Environmental Management, . https://doi.org/10.1002/9781119639305.ch13
2021 Valach, A. C., Kasak, K., Hemes, K. S., Anthony, T. L., Dronova, I., Taddeo, S., Silver, W. L., Szutu, D., Verfaillie, J., Baldocchi, D. D. (2021) Productive Wetlands Restored For Carbon Sequestration Quickly Become Net Co2 Sinks With Site-Level Factors Driving Uptake Variability, Plos One, 16(3), e0248398. https://doi.org/10.1371/journal.pone.0248398
2021 Rey‐Sanchez, C., Wharton, S., Vilà‐Guerau de Arellano, J., Paw U, K. T., Hemes, K. S., Fuentes, J. D., Osuna, J., Szutu, D., Ribeiro, J. V., Verfaillie, J., Baldocchi, D. (2021) Evaluation Of Atmospheric Boundary Layer Height From Wind Profiling Radar And Slab Models And Its Responses To Seasonality Of Land Cover, Subsidence, And Advection, Journal Of Geophysical Research: Atmospheres, 126(7), . https://doi.org/10.1029/2020JD033775
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
2019 Chamberlain, S. D., Hemes, K. S., Eichelmann, E., Szutu, D. J., Verfaillie, J. G., Baldocchi, D. D. (2019) Effect Of Drought-Induced Salinization On Wetland Methane Emissions, Gross Ecosystem Productivity, And Their Interactions, Ecosystems, . https://doi.org/10.1007/s10021-019-00430-5
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
2019 Hemes, K. S., Chamberlain, S. D., Eichelmann, E., Anthony, T., Valach, A., Kasak, K., Szutu, D., Verfaillie, J., Silver, W. L., Baldocchi, D. D. (2019) Assessing The Carbon And Climate Benefit Of Restoring Degraded Agricultural Peat Soils To Managed Wetlands, Agricultural And Forest Meteorology, 268, 202-214. https://doi.org/10.1016/j.agrformet.2019.01.017
2018 Baldocchi, D., Penuelas, J. (2018) The Physics And Ecology Of Mining Carbon Dioxide From The Atmosphere By Ecosystems, Global Change Biology, . https://doi.org/10.1111/gcb.14559
2018 Hemes, K. S., Chamberlain, S. D., Eichelmann, E., Knox, S. H., Baldocchi, D. D. (2018) A Biogeochemical Compromise: The High Methane Cost Of Sequestering Carbon In Restored Wetlands, Geophysical Research Letters, . https://doi.org/10.1029/2018GL077747
2018 Hemes, K. S., Eichelmann, E., Chamberlain, S., Knox, S. H., Oikawa, P. Y., Sturtevant, C., Verfaillie, J., Szutu, D., Baldocchi, D. D. (2018) A Unique Combination Of Aerodynamic And Surface Properties Contribute To Surface Cooling In Restored Wetlands Of The Sacramento-San Joaquin Delta, California, Journal Of Geophysical Research: Biogeosciences, . https://doi.org/10.1029/2018JG004494
2018 Eichelmann, E., Hemes, K. S., Knox, S. H., Oikawa, P. Y., Chamberlain, S. D., Sturtevant, C., Verfaillie, J., Baldocchi, D. D. (2018) The Effect Of Land Cover Type And Structure On Evapotranspiration From Agricultural And Wetland Sites In The Sacramento–San Joaquin River Delta, California, Agricultural And Forest Meteorology, 256-257, 179-195. https://doi.org/10.1016/j.agrformet.2018.03.007
2014 Matthes, J. H., Sturtevant, C., Verfaillie, J., Knox, S., Baldocchi, D. (2014) Parsing The Variability In Ch4 flux At A Spatially Heterogeneous Wetland: Integrating Multiple Eddy Covariance Towers With High-Resolution Flux Footprint Analysis, Journal Of Geophysical Research: Biogeosciences, 119(7), 1322-1339. https://doi.org/10.1002/2014JG002642
2017 Chamberlain, S. D., Verfaillie, J., Eichelmann, E., Hemes, K. S., Baldocchi, D. D. (2017) Evaluation Of Density Corrections To Methane Fluxes Measured By Open-Path Eddy Covariance Over Contrasting Landscapes, Boundary-Layer Meteorology, . https://doi.org/10.1007/s10546-017-0275-9
2016 McNicol, G., C. S. Sturtevant, S. H. Knox, I. Dronova, D. D. Baldocchi, and W. L. Silver. (2016) 2016. Effects of seasonality, transport-pathway, and spatial structure on greenhouse gas fluxes in a restored wetland., Global Change Biology, nnn-nnn. https://doi.org/10.1111/gcb.13580
2015 Sturtevant, C., B. L. Ruddell, S. H. Knox, J. Verfaillie, J. H. Matthes, P. Y. Oikawa, and D. Baldocchi. (2015) 2015. Identifying scale-emergent, non-linear, asynchronous processes of wetland methane exchange., Journal of Geophysical Research: Biogeosciences, 121, 188-204. https://doi.org/10.1002/2015jg003054
2017 Knox, Sara Helen Dronova, Iryna Sturtevant, Cove Oikawa, Patricia Y. Matthes, Jaclyn Hatala Verfaillie, Joseph Baldocchi, Dennis (2017) Using digital camera and Landsat imagery with eddy covariance data to model gross primary production in restored wetlands, Agricultural and Forest Meteorology, 237–238, 233-245. https://doi.org/http://dx.doi.org/10.1016/j.agrformet.2017.02.020
2017 Oikawa, P. Y.; Jenerette, G. D.; Knox, S. H.; Sturtevant, C.; Verfaillie, J.; Dronova, I.; Poindexter, C. M. ; Eichelmann, E.; Baldocchi, D. D. (2017) Evaluation of a hierarchy of models reveals importance of substrate limitation for predicting carbon dioxide and methane exchange in restored wetlands, Journal of Geophysical Research: Biogeosciences, 122(1), 145-167. https://doi.org/10.1002/2016JG003438
2014 Knox, S. H.,, Sturtevant, C., Matthes, J.H., Koteen, L., Verfaillie,J., Baldocchi. D. (2014) Agricultural peatland restoration: effects of land-use change on greenhouse gas (CO2 and CH4) fluxes in the Sacramento-San Joaquin Delta, Global Change Biology, 21, 750-765. https://doi.org/10.1111/gcb.12745

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: 799m x 799m
  • 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