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CA-TP4: Ontario - Turkey Point 1939 Plantation White Pine

Tower_team:
PI: M. Altaf Arain arainm@mcmaster.ca - McMaster University
DataManager: Jason J. Brodeur brodeujj@mcmaster.ca - McMaster University
Lat, Long: 42.7102, -80.3574
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 - 2017   Data Citation

Data Use Policy:AmeriFlux CC-BY-4.0 Policy1
Description: White pine plantation established in 1939 over sandy abandoned land
URL: http://www.fluxnet-canada.ca/visionneuse.php?page=components_fsmp_tp
Research Topics:
Acknowledgment:
Site Tasks
  1. 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.
Site Photo More Site Images
Image Credit: Lisa Johnson
Copyright preference: Request for permission
Site Publication More Site Publications

CA-TP4: Ontario - Turkey Point 1939 Plantation White Pine

Use the information below for citation of this site. See the Data Policy page for more details.

DOI(s) for citing CA-TP4 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-TP4 data are combined with data from sites that require the AmeriFlux Legacy Policy.

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1246012
    Citation: M. Altaf Arain (2018), AmeriFlux BASE CA-TP4 Ontario - Turkey Point 1939 Plantation White Pine, Ver. 4-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246012

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

Acknowledgments

Resources

CA-TP4: Ontario - Turkey Point 1939 Plantation White Pine

This page displays the list of downloads of data for the site {{siteId}}.

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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CA-TP4: Ontario - Turkey Point 1939 Plantation White 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.

CA-TP4: Ontario - Turkey Point 1939 Plantation White Pine

Year Publication
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
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
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
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
2020 Thorne, R., Khomik, M., Hayman, E., Arain, A. (2020) Response Of Soil Co2 Efflux To Shelterwood Harvesting In A Mature Temperate Pine Forest, Forests, 11(3), 304. https://doi.org/10.3390/f11030304
2020 Beamesderfer, E. R., Arain, M. A., Khomik, M., Brodeur, J. J., Burns, B. M. (2020) Response Of Carbon And Water Fluxes To Meteorological And Phenological Variability In Two Eastern North American Forests Of Similar Age But Contrasting Species Composition – A Multiyear Comparison, Biogeosciences, 17(13), 3563-3587. https://doi.org/10.5194/bg-17-3563-2020
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
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
2013 Barr, A., Richardson, A., Hollinger, D., Papale, D., Arain, M., Black, T., Bohrer, G., Dragoni, D., Fischer, M., Gu, L., Law, B., Margolis, H., McCaughey, J., Munger, J., Oechel, W., Schaeffer, K. (2013) Use Of Change-Point Detection For Friction–Velocity Threshold Evaluation In Eddy-Covariance Studies, Agricultural And Forest Meteorology, 171-172, 31-45. https://doi.org/10.1016/j.agrformet.2012.11.023
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
2015 Dennis Baldocchi, Cove Sturtevant (2015) Does day and night sampling reduce spurious correlation between canopy photosynthesis and ecosystem respiration?, Agricultural and Forest Meteorology, 207, 117-126. https://doi.org/10.1016/j.agrformet.2015.03.010
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 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 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
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
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
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
2012 Brümmer, C., Black, T. A., Jassal, R. S., Grant, N. J., Spittlehouse, D. L., Chen, B., Nesic, Z., Amiro, B. D., Arain, M. A., Barr, A. G., Bourque, C. P., Coursolle, C., Dunn, A. L., Flanagan, L. B., Humphreys, E. R., Lafleur, P. M., Margolis, H. A., McCaughey, J. H., Wofsy, S. C. (2012) How Climate And Vegetation Type Influence Evapotranspiration And Water Use Efficiency In Canadian Forest, Peatland And Grassland Ecosystems, Agricultural And Forest Meteorology, 153, 14-30. https://doi.org/10.1016/j.agrformet.2011.04.008
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
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
2012 MacKay, S. L., Arain, M. A., Khomik, M., Brodeur, J. J., Schumacher, J., Hartmann, H., Peichl, M. (2012) The Impact Of Induced Drought On Transpiration And Growth In A Temperate Pine Plantation Forest, Hydrological Processes, 26(12), 1779-1791. https://doi.org/10.1002/hyp.9315
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 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
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
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
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
2011 Huang, S., Arain, M. A., Arora, V. K., Yuan, F., Brodeur, J., Peichl, M. (2011) Analysis Of Nitrogen Controls On Carbon And Water Exchanges In A Conifer Forest Using The CLASS-CTEMN+ Model, Ecological Modelling, 222(20-22), 3743-3760. https://doi.org/10.1016/j.ecolmodel.2011.09.008

CA-TP4: Ontario - Turkey Point 1939 Plantation White 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.

CA-TP4: Ontario - Turkey Point 1939 Plantation White Pine

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 746m x 746m
  • 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