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US-Me2: Metolius mature ponderosa pine

Tower_team:
PI: Bev Law bev.law@oregonstate.edu - Oregon State University
FluxContact: Hyojung Kwon hyojung.kwon@oregonstate.edu - Oregon State University
DataManager: Chad Hanson chad.hanson@oregonstate.edu - Oregon State University
Lat, Long: 44.4523, -121.5574
Elevation(m): 1253
Network Affiliations: AmeriFlux, Phenocam
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: Csb (Mediterranean: mild with dry, warm summer)
Mean Annual Temp (°C): 6.28
Mean Annual Precip. (mm): 523
Flux Species Measured: CO2, H2O
Years Data Collected: AmeriFlux: 2002 - Present
Description:
The mean stand age is 71 years old and the stand age of the oldest 10% of trees is about 108 years old. This site is one of the Metolius core cluster sites ...
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URL: http://terraweb.forestry.oregonstate.edu/metolius-mature-pine-ameriflux-site-us-me2
Research Topics:
The research and science objectives of the Metolius Intermediate Pine site are as follows: 1) To quantify how successional stages and management practices ...
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Acknowledgment: The Metolius AmeriFlux research was supported by the Office of Science (BER), U.S. Department of Energy, Grant No. DE-FG02-06ER64318).
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US-Me2: Metolius mature ponderosa pine

Instructions for DOIs for This Site

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

DOIs

Publications to use for Citations for this Site

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Acknowledgements

  • The Metolius AmeriFlux research was supported by the Office of Science (BER), U.S. Department of Energy, Grant No. DE-FG02-06ER64318).

Resources

US-Me2: Metolius mature ponderosa pine

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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.

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US-Me2: Metolius mature ponderosa pine

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.

US-Me2: Metolius mature ponderosa pine

Year Publication
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.
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.
2014 Matheny, A. M., Bohrer, G., Stoy, P. C., Baker, I. T., Black, A. T., Desai, A. R., Dietze, M. C., Gough, C. M., Ivanov, V. Y., Jassal, R. S., Novick, K. A., Schäfer, K. V., Verbeeck, H. (2014) Characterizing The Diurnal Patterns of Errors in The Prediction of Evapotranspiration by Several Land-Surface Models: An Nacp Analysis, Journal Of Geophysical Research: Biogeosciences, 119(7), 1458-1473.
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.
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.
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.
2016 Schmidt, A., Law, B. E., Göckede, M., Hanson, C., Yang, Z., Conley, S. (2016) Bayesian Optimization Of The Community Land Model Simulated Biosphere–Atmosphere Exchange Using Co2observations From A Dense Tower Network And Aircraft Campaigns Over Oregon, Earth Interactions, 20(22), 1-35.
2018 Kwon, H., Law, B. E., Thomas, C. K., Johnson, B. G. (2018) The Influence Of Hydrological Variability On Inherent Water Use Efficiency In Forests Of Contrasting Composition, Age, And Precipitation Regimes In The Pacific Northwest, Agricultural And Forest Meteorology, 249, 488-500.
2006 Law, B. E., Turner, D., Campbell, J., Lefsky, M., Guzy, M., Sun, O., Tuyl, S. V., Cohen, W. (2006) Carbon Fluxes Across Regions: Observational Constraints At Multiple Scales, Scaling And Uncertainty Analysis In Ecology, 167-190.
2004 Treuhaft, R. N., Law, B. E., Asner, G. P. (2004) Forest Attributes From Radar Interferometric Structure And Its Fusion With Optical Remote Sensing, Bioscience, 54(6), 561-571.
2004 Turner, D. P., Guzy, M., Lefsky, M. A., Ritts, W. D., Van Tuyl, S., Law, B. E. (2004) Monitoring Forest Carbon Sequestration With Remote Sensing And Carbon Cycle Modeling, Environmental Management, 33(4), 457-466.
2010 Vickers, D., Göckede, M., Law, B. (2010) Uncertainty Estimates For 1-H Averaged Turbulence Fluxes Of Carbon Dioxide, Latent Heat And Sensible Heat, Tellus Series B-Chemical and Physical Meteorology, 62(2), 87-99.
2006 Turner, D. P., Ritts, W. D., Styles, J. M., Yang, Z., Cohen, W. B., Law, B. E., Thornton, P. E. (2006) A Diagnostic Carbon Flux Model To Monitor The Effects Of Disturbance And Interannual Variation In Climate On Regional NEP, Tellus Series B-Chemical and Physical Meteorology, 58(5), 476-490.
2004 Kelliher, F., Ross, D., Law, B., Baldocchi, D., Rodda, N. (2004) Limitations To Carbon Mineralization In Litter And Mineral Soil Of Young And Old Ponderosa Pine Forests, Forest Ecology And Management, 191(1-3), 201-213.
2005 Campbell, J., Law, B. (2005) Forest Soil Respiration Across Three Climatically Distinct Chronosequences In Oregon, Biogeochemistry, 73(1), 109-125.
2004 Sun, O. J., Campbell, J., Law, B. E., Wolf, V. (2004) Dynamics Of Carbon Stocks In Soils And Detritus Across Chronosequences Of Different Forest Types In The Pacific Northwest, USA, Global Change Biology, 10(9), 1470-1481.
2009 Vickers, D., Thomas, C. K., Martin, J. G., Law, B. (2009) Self-Correlation Between Assimilation And Respiration Resulting From Flux Partitioning Of Eddy-Covariance CO2 Fluxes, Agricultural And Forest Meteorology, 149(9), 1552-1555.
2004 Irvine, J., Law, B. E., Kurpius, M. R., Anthoni, P. M., Moore, D., Schwarz, P. A. (2004) Age-Related Changes In Ecosystem Structure And Function And Effects On Water And Carbon Exchange In Ponderosa Pine, Tree Physiology, 24(7), 753-763.
2009 Vickers, D., Thomas, C., Law, B. E. (2009) Random And Systematic CO2 Flux Sampling Errors For Tower Measurements Over Forests In The Convective Boundary Layer, Agricultural And Forest Meteorology, 149(1), 73-83.
2012 Vickers, D., Thomas, C., Pettijohn, C., Martin, J.G., Law, B.E. (2012) Five Years Of Carbon Fluxes And Inherent Water-Use Efficiency At Two Semi-Arid Pine Forests With Different Disturbance Histories, Tellus Series B-Chemical and Physical Meteorology, 64(0), 17159-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.
2008 Irvine, J., Law, B. E., Martin, J. G., Vickers, D. (2008) Interannual Variation In Soil CO2 Efflux And The Response Of Root Respiration To Climate And Canopy Gas Exchange In Mature Ponderosa Pine, Global Change Biology, 14(12), 2848-2859.
2009 Thomas, C. K., Law, B. E., Irvine, J., Martin, J. G., Pettijohn, J. C., Davis, K. J. (2009) Seasonal Hydrology Explains Interannual And Seasonal Variation In Carbon And Water Exchange In A Semiarid Mature Ponderosa Pine Forest In Central Oregon, Journal Of Geophysical Research: Biogeosciences, 114(G4), n/a-n/a.
2012 Vickers, D., Irvine, J., Martin, J. G., Law, B. E. (2012) Nocturnal Subcanopy Flow Regimes And Missing Carbon Dioxide, Agricultural And Forest Meteorology, 152, 101-108.
2004 Schwarz, P. A., Law, B. E., Williams, M., Irvine, J., Kurpius, M., Moore, D. (2004) Climatic Versus Biotic Constraints On Carbon And Water Fluxes In Seasonally Drought-Affected Ponderosa Pine Ecosystems, Global Biogeochemical Cycles, 18(GB4007), n/a-n/a.
2004 Law, B. E., Turner, D., Campbell, J., Sun, O. J., Van Tuyl, S., Ritts, W. D., Cohen, W. B. (2004) Disturbance And Climate Effects On Carbon Stocks And Fluxes Across Western Oregon USA, Global Change Biology, 10(9), 1429-1444.
2004 Campbell, J. L., Sun, O. J., Law, B. E. (2004) Supply-Side Controls On Soil Respiration Among Oregon Forests, Global Change Biology, 10(11), 1857-1869.
2005 Irvine, J., Law, B. E., Kurpius, M. R. (2005) Coupling Of Canopy Gas Exchange With Root And Rhizosphere Respiration In A Semi-Arid Forest, Biogeochemistry, 73(1), 271-282.
2004 Campbell, J. L., Sun, O. J., Law, B. E. (2004) Disturbance And Net Ecosystem Production Across Three Climatically Distinct Forest Landscapes, Global Biogeochemical Cycles, 18(4), n/a-n/a.
2005 Van Tuyl, S., Law, B., Turner, D., Gitelman, A. (2005) Variability In Net Primary Production And Carbon Storage In Biomass Across Oregon Forests—An Assessment Integrating Data From Forest Inventories, Intensive Sites, And Remote Sensing, Forest Ecology And Management, 209(3), 273-291.
2004 McDowell, N. G., Bowling, D. R., Bond, B. J., Irvine, J., Law, B. E., Anthoni, P., Ehleringer, J. R. (2004) Response Of The Carbon Isotopic Content Of Ecosystem, Leaf, And Soil Respiration To Meteorological And Physiological Driving Factors In A Pinus Ponderosa Ecosystem, Global Biogeochemical Cycles, 18(1), n/a-n/a.
2005 Coops, N. C., Waring, R. H., Law, B. E. (2005) Assessing The Past And Future Distribution And Productivity Of Ponderosa Pine In The Pacific Northwest Using A Process Model, 3-Pg, Ecological Modelling, 183(1), 107-124.
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.

US-Me2: Metolius mature 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-Me2: Metolius mature ponderosa pine

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 724m x 724m
  • 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