US-Prr: Poker Flat Research Range Black Spruce Forest
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Tower_team: | |
PI: | Go Iwahana giwahana@alaska.edu - International Arctic Research Center, University of Alaska, Fairbanks |
PI: | Hideki Kobayashi hkoba@jamstec.go.jp - RIGC, Japan Agency for Marine-Earth Science and Technology |
PI: | Hiroki Ikawa hikawa.biomet@gmail.com - Hokkaido Agricultural Research Center, NARO |
Technician: | Naoki Kukuu naokikukuu@hotmail.com - Wood River Field Services (Contractor) |
Lat, Long: | 65.1237, -147.4876 |
Elevation(m): | 210 |
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: | 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: | 2011 - Present |
Years Data Available: | AmeriFlux BASE 2010 - 2022 Data Citation |
Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
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 ... 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 the canopy is measured at the same time to relate flux data to satellite images. See MoreShow Less |
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, Sept 2015 - Mar 2020) and ArCSII (Jul 2020-). |
- 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-Prr: Poker Flat Research Range Black Spruce Forest
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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-Prr 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-Prr data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246153
Citation: Go Iwahana, Hideki Kobayashi, Hiroki Ikawa, Rikie Suzuki (2023), AmeriFlux BASE US-Prr Poker Flat Research Range Black Spruce Forest, Ver. 4-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246153
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
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US-Prr: Poker Flat Research Range Black Spruce Forest
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This page displays the list of downloads of data for the site US-Prr.
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-Prr: Poker Flat Research Range Black Spruce Forest
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AmeriFlux Images | Add Image |

DSC06987
DSC06987
Keywords: —
Location:
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IMG_6176
IMG_6176
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IMG_6179
IMG_6179
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DSC06986
DSC06986
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Black Spruce
Keywords: —
Location: Alaska, United States
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Hut
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Location: Alaska, United States
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Flux Tower
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Location: Alaska, United States
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US-Prr: Poker Flat Research Range Black Spruce Forest
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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 .
No PhenoCam data for this siteGeoNEX 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-Prr, 65.1237, -147.4876.
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-Prr: Poker Flat Research Range Black Spruce Forest
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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 |
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 |
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. https://doi.org/10.1016/j.agrformet.2017.11.001 |
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), . https://doi.org/10.1038/s41598-017-18777-x |
2018 | Xinchen Lu , Xiao Cheng, Xianglan Li Jiquan Chen, Minmin Sun, Ming Ji, Hong He, Siyu Wang, Sen Li, Jianwu Tang (2018) Seasonal patterns of canopy photosynthesis captured by remotely sensed sun-induced fluorescence and vegetation indexes in mid-to-high latitude forests: A cross-platform comparison, Science of the Total Environment, 644, 439-451. https://doi.org/org/10.1016/j.scitotenv.2018.06.269 |
2018 | Kobayashi, H., Nagai, S., Kim, Y., Yang, W., Ikeda, K., Ikawa, H., Nagano, H., Suzuki, R. (2018) In Situ Observations Reveal How Spectral Reflectance Responds To Growing Season Phenology Of An Open Evergreen Forest In Alaska, Remote Sensing, 10(7), 1071. https://doi.org/doi:10.3390/rs10071071 |
2018 | Fischer, R., Walsh, J. E., Euskirchen, E. S., Bieniek, P. A. (2018) Regional Climate Model Simulation Of Surface Moisture Flux Variations In Northern Terrestrial Regions, Atmospheric And Climate Sciences, 08(01), 29-54. https://doi.org/10.4236/acs.2018.81003 |
2018 | Saito, K., Iwahana, G., Ikawa, H., Nagano, H., Busey, R. C. (2018) Links Between Annual Surface Temperature Variation And Land Cover Heterogeneity For A Boreal Forest As Characterized By Continuous, Fibre-Optic Dts Monitoring, Geoscientific Instrumentation, Methods And Data Systems, 7(3), 223-234. https://doi.org/10.5194/gi-7-223-2018 |
2018 | Nagai, S., Akitsu, T., Saitoh, T. M., Busey, R. C., Fukuzawa, K., Honda, Y., Ichie, T., Ide, R., Ikawa, H., Iwasaki, A., Iwao, K., Kajiwara, K., Kang, S., Kim, Y., Khoon, K. L., Kononov, A. V., Kosugi, Y., Maeda, T., Mamiya, W., Matsuoka, M., Maximov, T. C., Menzel, A., Miura, T., Mizunuma, T., Morozumi, T., Motohka, T., Muraoka, H., Nagano, H., Nakai, T., Nakaji, T., Oguma, H., Ohta, T., Ono, K., Pungga, R. A., Petrov, R. E., Sakai, R., Schunk, C., Sekikawa, S., Shakhmatov, R., Son, Y., Sugimoto, A., Suzuki, R., Takagi, K., Takanashi, S., Tei, S., Tsuchida, S., Yamamoto, H., Yamasaki, E., Yamashita, M., Yoon, T. K., Yoshida, T., Yoshimura, M., Yoshitake, S., Wilkinson, M., Wingate, L., Nasahara, K. N. (2018) 8 Million Phenological And Sky Images From 29 Ecosystems From The Arctic To The Tropics: The Phenological Eyes Network, Ecological Research, . https://doi.org/10.1007/s11284-018-1633-x |
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 |
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. https://doi.org/10.1080/17538947.2017.1353146 |
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. https://doi.org/10.1002/ppp.1935 |
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. https://doi.org/10.1002/ppp.1935 |
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. https://doi.org/10.1016/j.rse.2016.02.020 |
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. https://doi.org/10.1016/j.agrformet.2016.03.007 |
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. https://doi.org/10.1016/j.agrformet.2016.03.007 |
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. |
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. https://doi.org/10.1016/j.agrformet.2015.08.247 |
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. https://doi.org/10.1016/j.agrformet.2015.08.247 |
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. https://doi.org/10.1109/LGRS.2013.2278426 |
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. |
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. https://doi.org/10.1016/j.polar.2013.03.003 |
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. https://doi.org/10.1016/j.polar.2012.12.001 |
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. https://doi.org/10.1016/j.polar.2013.03.001 |
US-Prr: Poker Flat Research Range Black Spruce Forest
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
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.
- Download BADM for this site*
- View Site General Info for this site (Overview tab)*
- Use Online Editor to update Site General Info or DOI Authorship
- Update information about submitted data (Variable Information tool)
- More BADM resources
* 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
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
Wind Roses
Wind Speed (m/s)
Navigation
- Wind Speed Scale: Per Site
- Wind Direction Scale (%): Per Site
- Wind Speed Scale: Non-Linear
- Wind Direction Scale (%): AmeriFlux