CA-TP3: Ontario - Turkey Point 1974 Plantation White Pine

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Tower_team:
PI:	M. Altaf Arain arainm@mcmaster.ca - McMaster University
DataManager:	Jason J. Brodeur brodeujj@mcmaster.ca - McMaster University
Lat, Long:	42.7068, -80.3483
Elevation(m):	184
Network Affiliations:	AmeriFlux, Fluxnet-Canada, 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:	Dfb (Warm Summer Continental: significant precipitation in all seasons )
Mean Annual Temp (°C):	8
Mean Annual Precip. (mm):	1036
Flux Species Measured:	CO2, H, H2O
Years Data Collected:	2003 - Present
Years Data Available:	AmeriFlux BASE 2002 - 2023 Data Citation AmeriFlux FLUXNET 2002 - 2017 Data Citation
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	White pine plantation established in 1974 over sandy abandoned land
URL:	—
Research Topics:	—
Acknowledgment:	—

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CA-TP3

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Image Credit: Altaf Arain, 2024
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CA-TP3: Ontario - Turkey Point 1974 Plantation White 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 CA-TP3 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 CA-TP3 data are combined with data from sites that require the AmeriFlux Legacy Policy.

AmeriFlux BASE: https://doi.org/10.17190/AMF/1246011
Citation: M. Altaf Arain (2025), AmeriFlux BASE CA-TP3 Ontario - Turkey Point 1974 Plantation White Pine, Ver. 4-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246011
AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/1881566
Citation: M. Altaf Arain (2024), AmeriFlux FLUXNET-1F CA-TP3 Ontario - Turkey Point 1974 Plantation White Pine, Ver. 4-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1881566

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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CA-TP3: Ontario - Turkey Point 1974 Plantation White Pine

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This page displays the list of downloads of data for the site CA-TP3.

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CA-TP3: Ontario - Turkey Point 1974 Plantation White Pine

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Search Images for this Site Images found : 5

AmeriFlux Images

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CA-TP3
**Description:**
CA-TP3 site
Keywords: CA-TP3
**Credit:** Altaf Arain
**Site ID:** CA-TP3
**Location:** Ontario, Canada
**Image Date:** 2024
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Request permission
**Right to Use:** Request for permission

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

CA-TP3
**Description:**
CA-TP3
Keywords: CA-TP3
**Credit:** Altaf Arain
**Site ID:** CA-TP3
**Location:** Ontario, Canada
**Image Date:** 2024/08/08
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Request Permission
**Right to Use:** Request for permission

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

CA-TP3
**Description:**
CA-TP3
Keywords: CA-TP3
**Credit:** Altaf Arain
**Site ID:** CA-TP3
**Location:** Ontario, Canada
**Image Date:** 2017/05/03
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Request permission
**Right to Use:** Request for permission

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CA-TP3: Ontario - Turkey Point 1974 Plantation White Pine

Overview
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Remote Sensing Data
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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.

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. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. 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.

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 CA-TP3:

turkeypointenf74

Use the links below to explore camera images and interactive timeseries for these sites.

PhenoCam site: turkeypointenf74

Green Chromatic Coordinate Time Series

ROI: EN_1000
ROI: EN_2000
ROI: EN_3000

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/s41597-019-0229-9

Camera 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 CA-TP3, 42.7068, -80.3483.

Click a square in the grid at left to display its data below.

Coordinates for selected GeoNEX Pixel

Graph controls:

Zoom: click-drag
Pan: shift-click-drag
Restore zoom level: double-click
Use the slider below the time series to zoom in and out.

All download requests will be logged.

NDVI: Normalized Difference Vegetation Index

No NDVI data have been received for site CA-TP3.

NDVI (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

NIRv Near-Infrared Reflectance of vegetation

No NIRv data have been received for site CA-TP3.

NIRv (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

DSR: Surface downward shortwave radiation

No DSR data have been received for site CA-TP3.

Shortwave Radiation (W/m2)

Resolution: 0.01° x 0.01° & Hourly

Coordinates for pixel:

LST: Land Surface Temperature

No LST data have been received for site CA-TP3.

LST (K)

Resolution: 0.02° x 0.02° & Hourly

Coordinates for pixel:

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.

GeoNEX Surface Downward Solar Radiation (DSR):

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.

GeoNEX Land Surface Temperature (LST):

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.

CA-TP3: Ontario - Turkey Point 1974 Plantation White Pine

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Search Publications for this Site Publications Found: 22

AmeriFlux Publications

Add Publication

Year	Publication
2022	Arain, M.A., Xu, B., Brodeur, J.J., Khomik, M., Peichl, M., Beamesderfer, E., Restrepo‑Coupe, N., Thorne, R. (2022) Heat and drought impact on carbon exchange in an age‑sequence of temperate pine forests, Ecological Processes, 11(7), . https://doi.org/10.1186/s13717-021-00349-7
2022	Bodo, A. V., Arain, M. A. (2022) Effects Of Variable Retention Harvesting On Canopy Transpiration In A Red Pine Plantation Forest, Ecological Processes, 11(1), . https://doi.org/10.1186/s13717-022-00366-0
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	McKenzie, S. M., Pisaric, M. F., Arain, M. A. (2021) Comparison Of Tree-Ring Growth And Eddy Covariance-Based Ecosystem Productivities In Three Different-Aged Pine Plantation Forests, Trees, 35(2), 583-595. https://doi.org/10.1007/s00468-020-02061-z
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	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	Skubel, R. A., Khomik, M., Brodeur, J. J., Thorne, R., Arain, M. A. (2017) Short‐Term Selective Thinning Effects On Hydraulic Functionality Of A Temperate Pine Forest In Eastern Canada, Ecohydrology, 10(1), e1780. https://doi.org/10.1002/eco.1780
2015	Skubel, R., Arain, M. A., Peichl, M., Brodeur, J. J., Khomik, M., Thorne, R., Trant, J., Kula, M. (2015) Age Effects On The Water-Use Efficiency And Water-Use Dynamics Of Temperate Pine Plantation Forests, Hydrological Processes, 29(18), 4100-4113. https://doi.org/10.1002/hyp.10549
2012	Coursolle, C., Margolis, H., Giasson, M., Bernier, P., Amiro, B., Arain, M., Barr, A., Black, T., Goulden, M., McCaughey, J., Chen, J., Dunn, A., Grant, R., Lafleur, P. (2012) Influence Of Stand Age On The Magnitude And Seasonality Of Carbon Fluxes In Canadian Forests, Agricultural And Forest Meteorology, 165, 136-148. https://doi.org/10.1016/j.agrformet.2012.06.011
2010	Peichl, M., Arain, M. A., Brodeur, J. J. (2010) Age Effects On Carbon Fluxes In Temperate Pine Forests, Agricultural And Forest Meteorology, 150(7-8), 1090-1101. https://doi.org/10.1016/j.agrformet.2010.04.008
2010	Khomik, M., Arain, M. A., Brodeur, J. J., Peichl, M., Restrepo-Coupé, N., McLaren, J. D. (2010) Relative Contributions Of Soil, Foliar, And Woody Tissue Respiration To Total Ecosystem Respiration In Four Pine Forests Of Different Ages, Journal Of Geophysical Research: Biogeosciences, 115(G03024), n/a-n/a. https://doi.org/10.1029/2009JG001089
2010	Peichl, M., Arain, M.A., Ullah, S., Moore, T. (2010) Carbon Dioxide, Methane, And Nitrous Oxide Exchanges In An Age-Sequence Of Temperate Pine Forests, Global Change Biology, 16(8), 2198-2212. https://doi.org/10.1111/j.1365-2486.2009.02066.x
2010	Peichl, M., Brodeur, J. J., Khomik, M., Arain, M. A. (2010) Biometric And Eddy-Covariance Based Estimates Of Carbon Fluxes In An Age-Sequence Of Temperate Pine Forests, Agricultural And Forest Meteorology, 150(7-8), 952-965. https://doi.org/10.1016/j.agrformet.2010.03.002
2008	McLaren, J. D., Arain, M.A., Khomik, M., Peichl, M., Brodeur, J. (2008) Water Flux Components And Soil Water-Atmospheric Controls In A Temperate Pine Forest Growing In A Well-Drained Sandy Soil, Journal Of Geophysical Research, 113(G4), n/a-n/a. https://doi.org/10.1029/2007JG000653
2008	Yuan, F., Arain, M. A., Barr, A. G., Black, T. A., Bourque, C. P., Coursolle, C., Margolis, H. A., Mccaughey, J. H., Wofsy, S. C. (2008) Modeling Analysis Of Primary Controls On Net Ecosystem Productivity Of Seven Boreal And Temperate Coniferous Forests Across A Continental Transect, Global Change Biology, 14(8), 1765-1784. https://doi.org/10.1111/j.1365-2486.2008.01612.x
2007	Peichl, M., Arain, M. A. (2007) Allometry And Partitioning Of Above- And Belowground Tree Biomass In An Age-Sequence Of White Pine Forests, Forest Ecology And Management, 253(1-3), 68-80. https://doi.org/10.1016/j.foreco.2007.07.003
2007	Peichl, M., Moore, T. R., Arain, M. A., Dalva, M., Brodkey, D., McLaren, J. (2007) Concentrations And Fluxes Of Dissolved Organic Carbon In An Age-Sequence Of White Pine Forests In Southern Ontario, Canada, Biogeochemistry, 86(1), 1-17. https://doi.org/10.1007/s10533-007-9138-7
2006	Peichl, M., Arain, M. A. (2006) Above- And Belowground Ecosystem Biomass And Carbon Pools In An Age-Sequence Of Temperate Pine Plantation Forests, Agricultural And Forest Meteorology, 140(1-4), 51-63. https://doi.org/10.1016/j.agrformet.2006.08.004
2006	Chen, J. M., Govind, A., Sonnentag, O., Zhang, Y., Barr, A., Amiro, B. (2006) Leaf Area Index Measurements At Fluxnet-Canada Forest Sites, Agricultural And Forest Meteorology, 140(1-4), 257-268. https://doi.org/10.1016/j.agrformet.2006.08.005
2006	Coursolle, C., Margolis, H. A., Barr, A. G., Black, T. A., Amiro, B. D., McCaughey, J. H., Flanagan, L. B., Lafleur, P. M., Roulet, N. T., Bourque, C. P., Arain, M. A., Wofsy, S. C., Dunn, A., Morgenstern, K., Orchansky, A. L., Bernier, P. Y., Chen, J. M., Kidston, J., Saigusa, N., Hedstrom, N. (2006) Late-Summer Carbon Fluxes From Canadian Forests And Peatlands Along An East-West Continental Transect, Canadian Journal Of Forest Research, 36(3), 783-800. https://doi.org/10.1139/x05-270
2005	Restrepo, N. C., Arain, M. A. (2005) Energy And Water Exchanges From A Temperate Pine Plantation Forest, Hydrological Processes, 19(1), 27-49. https://doi.org/10.1002/hyp.5758
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. https://doi.org/10.1016/j.agrformet.2004.10.003

CA-TP3: Ontario - Turkey Point 1974 Plantation White Pine

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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.

CA-TP3: Ontario - Turkey Point 1974 Plantation White Pine

Overview
Windroses
Data Citation
Data Use Log
Image Gallery
Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
Publications
BADM

Wind Roses

Click an image below to enlarge it, or use the navigation panel.

Image scale: 746m x 746m

Image scale: 1492m x 1492m

Data Collected: 2002 - 2017

Wind roses use variables ‘WS’ and ‘WD’.
Download Data Download Wind Rose as Image File (PNG)

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Jun-Sep 6AM to 6PM 6PM to 6AM

Sep-Dec 6AM to 6PM 6PM to 6AM

Dec-Mar 6AM to 6PM 6PM to 6AM

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