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US-Me5: Metolius-first young aged pine

Tower_team:
PI: Bev Law bev.law@oregonstate.edu - Oregon State University
BADMContact: Whitney Creason Whitney.Creason@oregonstate.edu - Oregon State University
DataManager: Hyojung Kwon hyojung.kwon@oregonstate.edu - Oregon State University
Lat, Long: 44.4371900, -121.5667600
Elevation(m): 1188
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: Csb (Mediterranean: mild with dry, warm summer)
Mean Annual Temp (°C): 6.47
Mean Annual Precip. (mm): 590.81
Flux Species Measured: CO2
Years Data Collected: AmeriFlux: 1999 - 2002
Description:
Previously old-growth ponderosa pine, clearcut in 1978 and allowed to regenerate naturally. Law et al (2001) Global Change Biology 7, 755-777; Law et al ...
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URL: http://wwwdata.forestry.oregonstate.edu/terra/flux.htm
Research Topics:
The research and science objectives of the Metolius First Young Pine site are as follows: 1) To quantify how successional stages and management practices ...
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Acknowledgment: This study was funded by NASA (grant # NAG5-7531), and DOE (grant # FG0300ER63014).
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US-Me5: Metolius-first young aged pine

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

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Publications to use for Citations for this Site

Acknowledgements

  • This study was funded by NASA (grant # NAG5-7531), and DOE (grant # FG0300ER63014).

Resources

US-Me5: Metolius-first young aged pine

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US-Me5: Metolius-first young aged 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-Me5: Metolius-first young aged pine

Year Publication
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.
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.
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.
2005 Arain, M. A., Restrepo-Coupe, N. (2005) Net Ecosystem Production In A Temperate Pine Plantation In Southeastern Canada, Agricultural And Forest Meteorology, 128(3-4), 223-241.
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.
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.
2000 Law, B. E., Williams, M., Anthoni, P. M., Baldocchi, D. D., Unsworth, M. H. (2000) Measuring And Modelling Seasonal Variation Of Carbon Dioxide And Water Vapour Exchange Of A Pinus Ponderosa Forest Subject To Soil Water Deficit, Global Change Biology, 6(6), 613-630.
2003 Reichstein, M., Rey, A., Freibauer, A., Tenhunen, J., Valentini, R., Banza, J., Casals, P., Cheng, Y., Grünzweig, J. M., Irvine, J., Joffre, R., Law, B. E., Loustau, D., Miglietta, F., Oechel, W., Ourcival, J., Pereira, J. S., Peressotti, A., Ponti, F., Qi, Y., Rambal, S., Rayment, M., Romanya, J., Rossi, F., Tedeschi, V., Tirone, G., Xu, M., Yakir, D. (2003) Modeling Temporal And Large-Scale Spatial Variability Of Soil Respiration From Soil Water Availability, Temperature And Vegetation Productivity Indices, Global Biogeochemical Cycles, 17(4), n/a-n/a.
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.
2003 Law, B. E., Sun, O. J., Campbell, J., Van Tuyl, S., Thornton, P. E. (2003) Changes In Carbon Storage And Fluxes In A Chronosequence Of Ponderosa Pine, Global Change Biology, 9(4), 510-524.
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.
2002 Irvine, J., Law, B. E. (2002) Contrasting Soil Respiration In Young And Old-Growth Ponderosa Pine Forests, Global Change Biology, 8(12), 1183-1194.
2001 Law, B., Thornton, P., Irvine, J., Anthoni, P., Van Tuyl, S. (2001) Carbon Storage And Fluxes In Ponderosa Pine Forests At Different Developmental Stages, Global Change Biology, 7(7), 755-777.
2005 Williams, M., Schwarz, P. A., Law, B. E., Irvine, J., Kurpius, M. R. (2005) An Improved Analysis Of Forest Carbon Dynamics Using Data Assimilation, Global Change Biology, 11(1), 89-105.
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.
2001 Law, B. E., Goldstein, A. H., Anthoni, P. M., Unsworth, M. H., Panek, J. A., Bauer, M. R., Fracheboud, J. M., Hultman, N. (2001) Carbon Dioxide And Water Vapor Exchange By Young And Old Ponderosa Pine Ecosystems During A Dry Summer, Tree Physiology, 21(5), 299-308.
2005 Turner, D. P., Ritts, W. D., Cohen, W. B., Maeirsperger, T. K., Gower, S. T., Kirschbaum, A. A., Running, S. W., Zhao, M., Wofsy, S. C., Dunn, A. L., Law, B. E., Campbell, J. L., Oechel, W. C., Kwon, H. J., Meyers, T. P., Small, E. E., Kurc, S. A., Gamon, J. A. (2005) Site-Level Evaluation Of Satellite-Based Global Terrestrial Gross Primary Production And Net Primary Production Monitoring, Global Change Biology, 11(4), 666-684.
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.
2001 Law, B., Kelliher, F., Baldocchi, D., Anthoni, P., Irvine, J., Moore, D., Van Tuyl, S. (2001) Spatial And Temporal Variation In Respiration In A Young Ponderosa Pine Forest During A Summer Drought, Agricultural And Forest Meteorology, 110(1), 27-43.
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.
2002 Anthoni, P. M., Unsworth, M. H., Law, B. E., Irvine, J., Baldocchi, D. D., Tuyl, S. V., Moore, D. (2002) Seasonal Differences In Carbon And Water Vapor Exchange In Young And Old-Growth Ponderosa Pine Ecosystems, Agricultural And Forest Meteorology, 111(3), 203-222.
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 Bond-Lamberty, B., Wang, C., Gower, S. T. (2004) A Global Relationship Between The Heterotrophic And Autotrophic Components Of Soil Respiration?, Global Change Biology, 10(10), 1756-1766.
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.
2006 F. A. Heinsch, M. S. Zhao, S. W. Running, J. S. Kimball, R. R. Nemani, K. J. Davis, P. V. Bolstad, B. D. Cook, A. R. Desai, D. M. Ricciuto, B. E. Law, W. C. Oechel, H. Kwon, H. Luo, S. C. Wofsy, A. L. Dunn, J. W. Munger, D. D. Baldocchi, L. Xu, D. Y. Hollinger, A. D. Richardson, P. C. Stoy, M. B. S. Siqueira, R. K. Monson, S. P. Burns, L. B. Flanagan (2006) Evaluation Of Remote Sensing Based Terrestrial Productivity From MODIS Using Regional Tower Eddy Flux Network Observations, IEEE Transactions On Geoscience And Remote Sensing, 44(7), 1908-1925.
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.

US-Me5: Metolius-first young aged 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-Me5: Metolius-first young aged pine

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 725m x 725m
  • 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