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US-Prr: Poker Flat Research Range Black Spruce Forest

Tower_team:
PI: Hideki Kobayashi hkoba@jamstec.go.jp - Japan Agency for Marine-Earth Science and Technology
FluxContact: Hiroki Ikawa hikawa.biomet@gmail.com - Institute for Agro-Environmental Sciences, NARO
DataManager: Robert Busey rcbusey@alaska.edu - International Arctic Research Center
Lat, Long: 65.12367, -147.48756
Elevation(m): 210
Network Affiliations: AmeriFlux
Vegetation IGBP: ENF (Evergreen Needleleaf Forests)
Climate Koeppen: Dwc (Subarctic: severe, dry winter, cool summer )
Mean Annual Temp (°C): -2
Mean Annual Precip. (mm): 275
Flux Species Measured: CO2, H, H2O
Years Data Collected: AmeriFlux: 2011 - Present
Description:
This site is located in a blackspruce forest within the property of the Poker Flat Research Range, University of Alaska, Fairbanks. Time-lapse image of ...
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URL: http://monitors.iarc.uaf.edu/poker-flat-research-range/data.php
Research Topics: soil CO2 flux measurements, phenological camera
Acknowledgment: The US-Prr site is supported by JAMSTEC and IARC/UAF collaboration study (JICS) and Arctic Challenge for Sustainability Project (ArCS).
Site Photo More Site Images
Image Credit:
Copyright preference: As long as credit is given
Site Publication More Site Publications
Nakai, T., Kim, Y., Busey, R. C., Suzuki, R., Nagai, S., Kobayashi, H., Park, H., Sugiura, K., Ito, A. 2013. Characteristics Of Evapotranspiration From A Permafrost Black Spruce Forest In Interior Alaska, Polar Science, 7:2, 136-148.

US-Prr: Poker Flat Research Range Black Spruce Forest

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

DOIs

Publications to use for Citations for this Site

Acknowledgements

  • The US-Prr site is supported by JAMSTEC and IARC/UAF collaboration study (JICS) and Arctic Challenge for Sustainability Project (ArCS).

Resources

US-Prr: Poker Flat Research Range Black Spruce Forest

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US-Prr: Poker Flat Research Range Black Spruce Forest

MODIS NDVI

Normalized Difference Vegetation Index image for this site.

For time series, data download and other MODIS products for this site, visit MODIS cutouts.

Citation

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Citation:

ORNL DAAC. 2008. MODIS Collection 5 Fixed Sites Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1251

Read more on how to cite these MODIS images. 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.

US-Prr: Poker Flat Research Range Black Spruce Forest

Year Publication
2017 Byun, E., Yang, J., Kim, Y., Ahn, J. (2017) Trapped Greenhouse Gases In The Permafrost Active Layer: Preliminary Results For Methane Peaks In Vertical Profiles Of Frozen Alaskan Soil Cores, Permafrost And Periglacial Processes, 28(2), 477-484.
2018 Tripathi, B. M., Kim, M., Kim, Y., Byun, E., Yang, J., Ahn, J., Lee, Y. K. (2018) Variations In Bacterial And Archaeal Communities Along Depth Profiles Of Alaskan Soil Cores, Scientific Reports, 8(1), .
2017 Byun, E., Yang, J., Kim, Y., Ahn, J. (2017) Trapped Greenhouse Gases In The Permafrost Active Layer: Preliminary Results For Methane Peaks In Vertical Profiles Of Frozen Alaskan Soil Cores, Permafrost And Periglacial Processes, 28(2), 477-484.
2011 Schmidt, M. W., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G., Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, D. A., Nannipieri, P., Rasse, D. P., Weiner, S., Trumbore, S. E. (2011) Persistence Of Soil Organic Matter As An Ecosystem Property, Nature, 478(7367), 49-56.
2016 Ueyama, M., Tahara, N., Iwata, H., Euskirchen, E. S., Ikawa, H., Kobayashi, H., Nagano, H., Nakai, T., and Harazono, Y. (2016) Optimization of a biochemical model with eddy covariance measurements in black spruce forests of Alaska for estimating CO2 fertilization effects, Agric. Forest Meteorol., 222, 98-111.
2014 Ueyama, M., Kudo, S., Iwama, C., Nagano, H., Kobayashi, H., Harazono, Y. and Yoshikawa, K. (2014) Does summer warming reduce black spruce productivity in interior Alaska?, J. Forest Res., 20, 52-59.
2016 Ueyama, M., Tahara, N., Iwata, H., Euskirchen, E. S., Ikawa, H., Kobayashi, H., Nagano, H., Nakai, T., Harazono, Y. (2016) Optimization Of A Biochemical Model With Eddy Covariance Measurements In Black Spruce Forests Of Alaska For Estimating Co 2 Fertilization Effects, Agricultural And Forest Meteorology, 222, 98-111.
2013 Suzuki, R., Kim, Y., Ishii, R. (2013) Sensitivity Of The Backscatter Intensity Of Alos/Palsar To The Above-Ground Biomass And Other Biophysical Parameters Of Boreal Forest In Alaska, Polar Science, 7(2), 100-112.
2017 Yang, W., Kobayashi, H., Chen, X., Nasahara, K. N., Suzuki, R., Kondoh, A. (2017) Modeling Three-Dimensional Forest Structures To Drive Canopy Radiative Transfer Simulations Of Bidirectional Reflectance Factor, International Journal Of Digital Earth, 1-20.
2018 Nagano, H., Ikawa, H., Nakai, T., Matsushima-Yashima, M., Kobayashi, H., Kim, Y., Suzuki, R. (2018) Extremely Dry Environment Down-Regulates Nighttime Respiration Of A Black Spruce Forest In Interior Alaska, Agricultural And Forest Meteorology, 249, 297-309.
2016 Ueyama, M., Tahara, N., Iwata, H., Euskirchen, E. S., Ikawa, H., Kobayashi, H., Nagano, H., Nakai, T., Harazono, Y. (2016) Optimization Of A Biochemical Model With Eddy Covariance Measurements In Black Spruce Forests Of Alaska For Estimating Co 2 Fertilization Effects, Agricultural And Forest Meteorology, 222, 98-111.
2013 Nagai, S., Nakai, T., Saitoh, T. M., Busey, R. C., Kobayashi, H., Suzuki, R., Muraoka, H., Kim, Y. (2013) Seasonal Changes In Camera-Based Indices From An Open Canopy Black Spruce Forest In Alaska, And Comparison With Indices From A Closed Canopy Evergreen Coniferous Forest In Japan, Polar Science, 7(2), 125-135.
2014 Kobayashi, H., Suzuki, R., Nagai, S., Nakai, T., Kim, Y. (2014) Spatial Scale And Landscape Heterogeneity Effects On Fapar In An Open-Canopy Black Spruce Forest In Interior Alaska, Ieee Geoscience And Remote Sensing Letters, 11(2), 564-568.
2015 Ikawa, H., Nakai, T., Busey, R. C., Kim, Y., Kobayashi, H., Nagai, S., Ueyama, M., Saito, K., Nagano, H., Suzuki, R., Hinzman, L. (2015) Understory Co 2 , Sensible Heat, And Latent Heat Fluxes In A Black Spruce Forest In Interior Alaska, Agricultural And Forest Meteorology, 214-215, 80-90.
2016 Kobayashi, H., Yunus, A. P., Nagai, S., Sugiura, K., Kim, Y., Van Dam, B., Nagano, H., Zona, D., Harazono, Y., Bret-Harte, M. S., Ichii, K., Ikawa, H., Iwata, H., Oechel, W. C., Ueyama, M., Suzuki, R. (2016) Latitudinal Gradient Of Spruce Forest Understory And Tundra Phenology In Alaska As Observed From Satellite And Ground-Based Data, Remote Sensing Of Environment, 177, 160-170.
2015 (2015) Understory CO2, Sensible Heat, and Latent Heat Fluxes in a Black Spruce Forest in Interior Alaska, Agricultural And Forest Meteorology, 214-215, 80-90.
2013 Nakai, T., Kim, Y., Busey, R. C., Suzuki, R., Nagai, S., Kobayashi, H., Park, H., Sugiura, K., Ito, A. (2013) Characteristics Of Evapotranspiration From A Permafrost Black Spruce Forest In Interior Alaska, Polar Science, 7(2), 136-148.

US-Prr: Poker Flat Research Range Black Spruce Forest

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-Prr: Poker Flat Research Range Black Spruce Forest

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 427m x 427m
  • 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