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US-UMB: Univ. of Mich. Biological Station

PI: Christopher Gough - Virginia Commonwealth University
PI: Gil Bohrer - Ohio State University
PI: Peter Curtis - Ohio State University
DataManager: Yang Ju - Ohio State University
Lat, Long: 45.5598, -84.7138
Elevation(m): 234
Network Affiliations: AmeriFlux, Phenocam
Vegetation IGBP: DBF (Deciduous Broadleaf Forests: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 meters. Consists of broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods.)
Climate Koeppen: Dfb (Warm Summer Continental: significant precipitation in all seasons )
Mean Annual Temp (°C): 5.83
Mean Annual Precip. (mm): 803
Flux Species Measured: CO2
Years Data Collected: AmeriFlux: 1999 - Present
The UMBS site is located within a protected forest owned by the University of Michigan. Arboreal composition of the forest consists of mid-aged northern ...
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Research Topics:
The research objectives of the University of Michigan Biological Station (UMBS) site are to address questions of ecosystem/atmosphere linkages that are ...
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Site Publication More Site Publications
Curtis, P. S., Vogel, C. S., Gough, C. M., Schmid, H. P., Su, H. B., Bovard, B. D. 2005. Respiratory Carbon Losses And The Carbon-Use Efficiency Of A Northern Hardwood Forest, 1999-2003, New Phytologist, 167:2, 437-456.

US-UMB: Univ. of Mich. Biological Station

Instructions for DOIs for This Site

When using DOIs for this site, use the publications and acknowledgments listed below.


  • AmeriFlux
  • Citation: Christopher Gough, Gil Bohrer, Peter Curtis (1999-) AmeriFlux US-UMB Univ. of Mich. Biological Station, 10.17190/AMF/1246107
  • Link:

Publications to use for Citations for this Site



US-UMB: Univ. of Mich. Biological Station

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.

Year Range
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US-UMB: Univ. of Mich. Biological Station


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.


ORNL DAAC. 2018. MODIS and VIIRS Land Products Fixed Sites Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA.

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.

US-UMB: Univ. of Mich. Biological Station

Year Publication
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.
2012 Ruehr, N. K., Martin, J. G., Law, B. E. (2012) Effects Of Water Availability On Carbon And Water Exchange In A Young Ponderosa Pine Forest: Above- And Belowground Responses, Agricultural And Forest Meteorology, 164, 136-148.
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.
2017 Euskirchen, E. S., Bret-Harte, M. S., Shaver, G. R., Edgar, C. W., Romanovsky, V. E. (2017) Long-Term Release Of Carbon Dioxide From Arctic Tundra Ecosystems In Alaska, Ecosystems, 20(5), 960-974.
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.
2015 Yue, X., Unger, N., Keenan, T. F., Zhang, X., Vogel, C. S. (2015) Probing The Past 30-Year Phenology Trend Of Us Deciduous Forests, Biogeosciences, 12(15), 4693-4709.
2017 Porras, R. C., Hicks Pries, C. E., McFarlane, K. J., Hanson, P. J., Torn, M. S. (2017) Association With Pedogenic Iron And Aluminum: Effects On Soil Organic Carbon Storage And Stability In Four Temperate Forest Soils, Biogeochemistry, 133(3), 333-345.
2013 McFarlane, K. J., Torn, M. S., Hanson, P. J., Porras, R. C., Swanston, C. W., Callaham, M. A., Guilderson, T. P. (2013) Comparison Of Soil Organic Matter Dynamics At Five Temperate Deciduous Forests With Physical Fractionation And Radiocarbon Measurements, Biogeochemistry, 112(1-3), 457-476.
2017 Matheny AM, Fiorella RP, Bohrer G, Poulsen CJ, Morin TH, Wunderlich A, Vogel CS, Curtis PS. (2017) Contrasting strategies of hydraulic control in two co-dominant temperate tree species, Ecohydrology, 10(3), 1815-1815.
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.
2002 Davidson, E., Savage, K., Bolstad, P., Clark, D., Curtis, P., Ellsworth, D., Hanson, P., Law, B., Luo, Y., Pregitzer, K., Randolph, J., Zak, D. (2002) Belowground Carbon Allocation In Forests Estimated From Litterfall And IRGA-Based Soil Respiration Measurements, Agricultural And Forest Meteorology, 113(1-4), 39-51.
2005 Curtis, P. S., Vogel, C. S., Gough, C. M., Schmid, H. P., Su, H. B., Bovard, B. D. (2005) Respiratory Carbon Losses And The Carbon-Use Efficiency Of A Northern Hardwood Forest, 1999-2003, New Phytologist, 167(2), 437-456.
2004 Jarvis, A. J., Stauch, V. J., Schulz, K., Young, P. C. (2004) The Seasonal Temperature Dependency Of Photosynthesis And Respiration In Two Deciduous Forests, Global Change Biology, 10(6), 939-950.
2002 Curtis, P. S., Hanson, P. J., Bolstad, P., Barford, C., Randolph, J., Schmid, H., Wilson, K. B. (2002) Biometric And Eddy-Covariance Based Estimates Of Annual Carbon Storage In Five Eastern North American Deciduous Forests, Agricultural And Forest Meteorology, 113(1-4), 3-19.
2003 Schmid, H. P. (2003) Ecosystem-Atmosphere Exchange Of Carbon Dioxide Over A Mixed Hardwood Forest In Northern Lower Michigan, Journal Of Geophysical Research, 108(D14), 4417-n/a.
2005 Hibbard, K. A., Law, B. E., Reichstein, M., Sulzman, J. (2005) An Analysis Of Soil Respiration Across Northern Hemisphere Temperate Ecosystems, Biogeochemistry, 73(1), 29-70.
2006 Pressley, S., Lamb, B., Westberg, H., Vogel, C. (2006) Relationships Among Canopy Scale Energy Fluxes And Isoprene Flux Derived From Long-Term, Seasonal Eddy Covariance Measurements Over A Hardwood Forest, Agricultural And Forest Meteorology, 136(3-4), 188-202.
2013 Gough, C. M., Hardiman, B. S., Nave, L. E., Bohrer, G., Maurer, K. D., Vogel, C. S., Nadelhoffer, K. J., Curtis, P. S. (2013) Sustained Carbon Uptake And Storage Following Moderate Disturbance In A Great Lakes Forest, Ecological Applications, 23(5), 1202-1215.
2000 Rothstein, D. E., Zak, D. R., Pregitzer, K. S., Curtis, P. S. (2000) Kinetics Of Nitrogen Uptake By Populus Tremuloides In Relation To Atmospheric CO2 And Soil Nitrogen Availability, Tree Physiology, 20(4), 265-270.
2016 Zscheischler, J., Fatichi, S., Wolf, S., Blanken, P., Bohrer, G., Clark, K., Desai, A., Hollinger, D., Keenan, T., Novick, K.A., Seneviratne, S.I. (2016) Short-term favorable weather conditions are an important control of interannual variability in carbon and water fluxes, Journal of Geophysical Research - Biogeosciences, 121(8), 2186-2198.
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.
2015 Shultz, David (2015) As Forests Age, Their Climate Effects Shift, EOS, 96, 1-1.
2014 Matheny, A.M. Bohrer, G. Vogel, C.S. Morin, T.H. He, L. Frasson, R.P.dM. Mirfenderesgi, G. Schäfer, K.V.R. Gough, C.M. Ivanov, V.Y. Curtis, P.S. (2014) Species-specific transpiration responses to intermediate disturbance in a northern hardwood forest, Journal of Geophysical Research-Biogeosciences, 119, 2292-2311.
2015 Bond-Lamberty, B. Fisk, J. Holm, J.A. Bailey, V. Bohrer, G. Gough, C.M. (2015) Moderate forest disturbance as a stringent test for gap and big-leaf models, Biogeosciences, 12, 513-526.
2015 Maurer, K.D. Bohrer, G. Kenny, W.T. Ivanov, V.Y. (2015) Large eddy simulations of surface roughness parameter sensitivity to canopy structure characteristics, Biogeosciences, 12, 2533-2548.

US-UMB: Univ. of Mich. Biological Station

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-UMB: Univ. of Mich. Biological Station

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 711m x 711m
  • 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
    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