US-Me2: Metolius mature ponderosa pine
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Tower_team: | |
PI: | Chad Hanson chad.hanson@oregonstate.edu - Oregon State University |
PI: | Chris Still chris.still@oregonstate.edu - Oregon State University |
Technician: | Alex Irving Alex.Irving@oregonstate.edu - Oregon State University |
Lat, Long: | 44.4526, -121.5589 |
Elevation(m): | 1253.00 |
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, H, H2O |
Years Data Collected: | 2002 - Present |
Years Data Available: | AmeriFlux BASE 2002 - 2024 Data Citation AmeriFlux FLUXNET 2002 - 2022 Data Citation |
Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
Description: | Site Description before Fire (January, 2002 - August, 2020):
The mean stand age is 71 years old and the stand age of the oldest 10% of trees is about ... Site Description before Fire (January, 2002 - August, 2020):
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 with different age and disturbance classes and part of the AmeriFlux network. The overstory is almost exclusively composed of ponderosa pine trees (Pinus ponderosa Doug. Ex P. Laws) with a few scattered incense cedars (Calocedrus decurrens (Torr.) Florin) and has a peak leaf area index (LAI) of 2.1 m2 m-2. Tree height is relatively homogeneous at about 18 m, and the mean tree density is approximately 339 trees ha-1 (Irvine et al., 2008). The understory is sparse with an LAI of 0.2 m2 m-2 and primarily composed of bitterbrush (Purshia tridentata (Push) DC.) and greenleaf manzanita (Arctostaphylos patula Greene). Soils at the site are sandy (69%/24%/7% sand/silt/clay at 0–0.2 m depth and 66%/27%/7% at 0.2–0.5 m depth, and 54%/ 35%/11% at 0.5–1.0 m depth), freely draining with a soil depth of approximately 1.5 m (Irvine et al., 2008; Law et al., 2001b; Schwarz et al., 2004).
Green Ridge Fire:
On August 20, 2020, the Green Ridge Fire burned through Us-Me2. The fire was ignited by lightning on August 16th, and grew rapidly to the east over the first few days driven by strong, downslope (westerly) afternoon winds. Fire behavior and observed fire effects were highly heterogeneous due to the localized wind pattern carrying the flaming head of the fire forward, and the efforts being made by suppression resources to contain the fire. The site experienced the full range of fire effects, from <1 m high surface fire that charred litter and duff and only consumed shrubs and herbaceous material to full tree (>15 m) crown fire that consumed 100% of needles, small limbs, and surface fuels at high intensity, leaving only ash and bare soil post-fire.
Salvage Logging:
From late March to late April 2021, salvage logging by the landowner occurred at the site. Almost all trees within the flux footprint were logged except a small area with lower burn severity, where sap flow and automatic soil respiration measurements are continued since the fire.
In August 2022 the primary flux system was moved from the top of the damaged tall tower to a nearby shorter tower centering on the salvage/regenerating footprint. See MoreShow Less |
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 ... The research and science objectives of the Metolius Intermediate Pine site are as follows: 1) To quantify how successional stages and management practices in forest ecosystems influence processes controlling net ecosystem exchange of CO2 in varying climatic conditions; 2) Investigate the effects of disturbance processes controlling carbon storage and CO2 and energy exchange with the atmosphere in varying climatic conditions; 3) Measure the effects of disturbance and climate on the CO2 and energy exchange of ponderosa pine forests in the Pacific Northwest; 4) Evaluate the different statistical models for estimating soil surface CO2 efflux from measurements of abiotic factors such as soil temperature and moisture, and nitrogen and carbon in the soil and litter layers; 5) Compare differences in the seasonal patterns of carbon and energy exchange between stands of different ages; 6) Examine the implications of interannual variation of GPP and ecosystem respiration on net ecosystem exchange of CO2 (NEE); 7) Identify patterns in a multiyear record of soil CO2 efflux and ecosystem processes at an AmeriFlux site to generate a parsimonious seasonal model for soil CO2 efflux that has traits of value to the wider research community; 8) Assess the relationship between substrate supply from the canopy and root/rhizosphere respiration. (Anthoni et al. 2002, Schwarz et al. 2004, Irvine et al. 2008) See MoreShow Less |
Acknowledgment: | The Metolius AmeriFlux research was supported by the Office of Science (BER), U.S. Department of Energy, Grant No. DE-FG02-06ER64318). |
- 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.




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US-Me2: Metolius mature ponderosa pine
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Use the information below for citation of this site. See the Data Policy page for more details.
DOI(s) for citing US-Me2 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-Me2 data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246076
Citation: Bev Law (2024), AmeriFlux BASE US-Me2 Metolius mature ponderosa pine, Ver. 20-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246076 - AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/1854368
Citation: Bev Law (2024), AmeriFlux FLUXNET-1F US-Me2 Metolius mature ponderosa pine, Ver. 4-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1854368
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
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Resources
- AmeriFlux Logos & Acknowledgments
US-Me2: Metolius mature ponderosa pine
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This page displays the list of downloads of data for the site US-Me2.
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.
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US-Me2: Metolius mature ponderosa pine
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Images | Add Image |

A contrasting view of the subcanopy of mature ponderosa pine (before and after fire)
Keywords: fire
Location: United States
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Eddy flux tower (before and after fire)
This photo illustrates a contrasting view of the eddy flux tower before and after a fire.
Keywords: fire
Location: United States
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US-Me2 after a fire (Drone Shot)
Keywords: —
Location: Oregon, United States
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Burned vs, Unburned Canopy
This photo is taken right after a light snow-fall at US-Me2, showing a distinctive difference in burned and unburned canopy top.
Keywords: —
Location: Oregon, United States
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Before and After a fire at US-Me2
This image shows the flux tower footprint area before and after a fire.
Keywords: —
Location: Oregon, United States
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2013.US.ME2.sitevisit.DSC_0138
2013.US.ME2.sitevisit.DSC_0138
Keywords: —
Location: United States
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IMG_6494
IMG_6494
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IMG_6439
IMG_6439
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IMG_6437
IMG_6437
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IMG_6433
IMG_6433
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US-Me2: Metolius mature ponderosa pine
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
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.
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. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567
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.
PhenoCam Images and Derived Time Series Data
PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .
PhenoCam sites for US-Me2:
Use the links below to explore camera images and interactive timeseries for these sites.
Citation:
B. Seyednasrollah, A. M. Young, K. Hufkens, T. Milliman, M. A. Friedl, S. Frolking, and A. D. Richardson. Tracking vegetation phenology across diverse biomes using version 2.0 of the phenocam dataset. Scientific Data, 6(1):222, 2019. doi:10.1038/s41597-019-0229-9Camera Imagery
Milliman, T., B. Seyednasrollah, A.M. Young, K. Hufkens, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1689
Green Chromatic Coordinate Time Series
Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J. Baker, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, T.L. O'Halloran, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, S. Wolf, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1674
GeoNEX Data Products
GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.
The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.
GeoNEX pixels below cover the area 0.06° x 0.06° around and including site US-Me2, 44.4526, -121.5589.
Citation
This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.
Subset Data Citation:
- Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.
Relevant Science Publication Citation:
GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)- Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.
- Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.
- Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.
US-Me2: Metolius mature ponderosa pine
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Publications | Add Publication |
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 |
2021 | Still, C. J., Rastogi, B., Page, G. F., Griffith, D. M., Sibley, A., Schulze, M., Hawkins, L., Pau, S., Detto, M., Helliker, B. R. (2021) Imaging Canopy Temperature: Shedding (Thermal) Light On Ecosystem Processes, New Phytologist, 230(5), 1746-1753. https://doi.org/https://doi.org/10.1111/nph.17321 |
2020 | Xu, B., Arain, M. A., Black, T. A., Law, B. E., Pastorello, G. Z., Chu, H. (2020) Seasonal Variability Of Forest Sensitivity To Heat And Drought Stresses: A Synthesis Based On Carbon Fluxes From North American Forest Ecosystems, Global Change Biology, 26(2), 901-918. https://doi.org/10.1111/gcb.14843 |
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 | 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 | 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 |
2019 | Still, C., Powell, R., Aubrecht, D., Kim, Y., Helliker, B., Roberts, D., Richardson, A. D., Goulden, M. (2019) Thermal Imaging In Plant And Ecosystem Ecology: Applications And Challenges, Ecosphere, 10(6), . https://doi.org/https://doi.org/10.1002/ecs2.2768 |
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. https://doi.org/doi:10.1016/j.agrformet.2017.08.006 |
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 |
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 |
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. https://doi.org/10.1175/EI-D-16-0011.1 |
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 |
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. https://doi.org/10.1002/2014JG002623 |
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. https://doi.org/10.1016/j.agrformet.2011.09.004 |
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, 17159-n/a. https://doi.org/10.3402/tellusb.v64i0.17159 |
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. https://doi.org/10.1111/j.1600-0889.2009.00449.x |
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. https://doi.org/10.1029/2009jg001010 |
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. https://doi.org/10.1016/j.agrformet.2008.07.005 |
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. https://doi.org/10.1016/j.agrformet.2009.03.009 |
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. https://doi.org/10.1111/j.1365-2486.2008.01682.x |
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. https://doi.org/10.1111/j.1600-0889.2006.00221.x |
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. https://doi.org/10.1007/1-4020-4663-4_9 |
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. https://doi.org/10.1016/j.ecolmodel.2004.08.002 |
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. https://doi.org/10.1016/j.foreco.2005.02.002 |
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. https://doi.org/10.1007/s10533-004-2564-x |
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. https://doi.org/10.1007/s10533-004-2946-0 |
2005 | Campbell, J., Law, B. (2005) Forest Soil Respiration Across Three Climatically Distinct Chronosequences In Oregon, Biogeochemistry, 73(1), 109-125. https://doi.org/10.1007/s10533-004-5165-9 |
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. https://doi.org/10.1029/2003gb002049 |
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. https://doi.org/10.1029/2004gb002236 |
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. https://doi.org/10.1111/j.1365-2486.2004.00850.x |
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. https://doi.org/10.1111/j.1365-2486.2004.00822.x |
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. https://doi.org/10.1029/2004GB002234 |
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. https://doi.org/10.1093/treephys/24.7.753 |
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. https://doi.org/10.1111/j.1365-2486.2004.00829.x |
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. https://doi.org/10.1016/j.foreco.2003.12.005 |
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. https://doi.org/10.1007/s00267-003-9103-8 |
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. https://doi.org/10.1641/0006-3568(2004)054[0561:fafris]2.0.co;2 |
US-Me2: Metolius mature ponderosa pine
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US-Me2: Metolius mature ponderosa pine
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
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