Tower_team:
PI:	J. William Munger jwmunger@seas.harvard.edu - Harvard University
Technician:	Mark VanScoy mvanscoy@fas.harvard.edu - Harvard University
Lat, Long:	42.5393, -72.1779
Elevation(m):	360
Network Affiliations:	AmeriFlux, LTER, 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):	6.56
Mean Annual Precip. (mm):	1071
Flux Species Measured:	H, CO2, H2O
Years Data Collected:	2004 - Present
Years Data Available:	AmeriFlux BASE 2004 - 2023 Data Citation
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	The forest surrounding the Hemlock site has remained pristine with two exceptions. In the early to mid-1700s, European settlers cleared the majority of ... The forest surrounding the Hemlock site has remained pristine with two exceptions. In the early to mid-1700s, European settlers cleared the majority of the forest for agricultural purposes. Selective harvesting of hemlock and chestnut trees occurred up until the early 1900s, when the chestnut blight killed all of the chestnut trees. In the current forest, about 83% of the total basal area of trees is hemlock. The remainder is equally divided between eastern white pine (Pinus strobus L.) and deciduous species, including red maple (Acer rubrum), red oak (Quercus rubra) and black birch (Betula lenta). A very thick organic layer (10-20 cm or more) covers the soil surface, and highly decayed coarse woody debris is abundant. See More Show Less
URL:	http://harvardforest.fas.harvard.edu/research-facilities-and-resources
Research Topics:	—
Acknowledgment:	Operation of the US-Ha2 site is supported by the AmeriFlux Management Project with funding by the U.S. Department of Energy’s Office of Science under Contract No. DE-AC02-05CH11231, and additionally is a part of the Harvard Forest LTER site supported by the National Science Foundation (DEB-1237491).

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DOI(s) for citing US-Ha2 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-Ha2 data are combined with data from sites that require the AmeriFlux Legacy Policy.

AmeriFlux BASE: https://doi.org/10.17190/AMF/1246060
Citation: Julian Hadley, J. William Munger (2024), AmeriFlux BASE US-Ha2 Harvard Forest Hemlock Site, Ver. 11-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246060

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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2014.US.Ha2.Sitevisit.IMG_4956
**Description:**
2014.US.Ha2.Sitevisit.IMG_4956
**Site ID:** US-Ha2
**Location:**
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**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** Request for permission

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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 US-Ha2:

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

PhenoCam site: harvardhemlock2

Green Chromatic Coordinate Time Series

ROI: EN_1000

PhenoCam site: harvardhemlock

Green Chromatic Coordinate Time Series

ROI: DB_1000
ROI: DB_2000
ROI: EN_1000
ROI: EN_2000
ROI: EN_3000
ROI: EN_4000

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

Search Publications for this Site Publications Found: 15

AmeriFlux Publications

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Year	Publication
2023	Lee, L. X., Whitby, T. G., Munger, J. W., Stonebrook, S. J., Friedl, M. A. (2023) Remote Sensing Of Seasonal Variation Of Lai And Fapar In A Deciduous Broadleaf Forest, Agricultural And Forest Meteorology, 333, 109389. https://doi.org/10.1016/j.agrformet.2023.109389
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	Finzi, A. C., Giasson, M., Barker Plotkin, A. A., Aber, J. D., Boose, E. R., Davidson, E. A., Dietze, M. C., Ellison, A. M., Frey, S. D., Goldman, E., Keenan, T. F., Melillo, J. M., Munger, J. W., Nadelhoffer, K. J., Ollinger, S. V., Orwig, D. A., Pederson, N., Richardson, A. D., Savage, K., Tang, J., Thompson, J. R., Williams, C. A., Wofsy, S. C., Zhou, Z., Foster, D. R. (2020) Carbon Budget Of The Harvard Forest Long‐Term Ecological Research Site: Pattern, Process, And Response To Global Change, Ecological Monographs, . https://doi.org/10.1002/ecm.1423
2013	Keenan, T. F., Hollinger, D. Y., Bohrer, G., Dragoni, D., Munger, J. W., Schmid, H. P., Richardson, A. D. (2013) Increase In Forest Water-Use Efficiency As Atmospheric Carbon Dioxide Concentrations Rise, Nature, 499(7458), 324-327. https://doi.org/10.1038/nature12291
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
2018	Kim, J. H., Hwang, T., Yang, Y., Schaaf, C. L., Boose, E., Munger, J. W. (2018) Warming-Induced Earlier Greenup Leads To Reduced Stream Discharge In A Temperate Mixed Forest Catchment, Journal Of Geophysical Research: Biogeosciences, 123(6), 1960-1975. https://doi.org/10.1029/2018JG004438
2017	Kim, J., Hwang, T., Schaaf, C. L., Orwig, D. A., Boose, E., Munger, J. W. (2017) Increased Water Yield Due To The Hemlock Woolly Adelgid Infestation In New England, Geophysical Research Letters, 44(5), 2327-2335. https://doi.org/10.1002/2016gl072327
2002	Hadley, J. L., Schedlbauer, J. L. (2002) Carbon Exchange Of An Old-Growth Eastern Hemlock (Tsuga Canadensis) Forest In Central New England, Tree Physiology, 22(15-16), 1079-1092. https://doi.org/10.1093/treephys/22.15-16.1079
2000	Hadley, J. L. (2000) Effect Of Daily Minimum Temperature On Photosynthesis In Eastern Hemlock (Tsuga Canadensis L.) In Autumn And Winter, Arctic, Antarctic, And Alpine Research, 32(4), 368-374. https://doi.org/10.2307/1552384
2004	Magill, A. H., Aber, J. D., Currie, W. S., Nadelhoffer, K. J., Martin, M. E., McDowell, W. H., Melillo, J. M., Steudler, P. (2004) Ecosystem Response To 15 Years Of Chronic Nitrogen Additions At The Harvard Forest LTER, Massachusetts, USA, Forest Ecology And Management, 196(1), 7-28. https://doi.org/10.1016/j.foreco.2004.03.033
2000	Compton, J. E., Boone, R. D. (2000) Long-Term Impacts Of Agriculture On Soil Carbon And Nitrogen In New England Forests, Ecology, 81(8), 2314-2330. https://doi.org/10.1890/0012-9658(2000)081[2314:LTIOAO]2.0.CO;2
2003	Turner, D. P., Urbanski, S., Bremer, D., Wofsy, S. C., Meyers, T., Gower, S. T., Gregory, M. (2003) A Cross-Biome Comparison Of Daily Light Use Efficiency For Gross Primary Production, Global Change Biology, 9(3), 383-395. https://doi.org/10.1046/j.1365-2486.2003.00573.x
2004	Yi, C., Li, R., Bakwin, P. S., Desai, A., Ricciuto, D. M., Burns, S. P., Turnipseed, A. A., Wofsy, S. C., Munger, J. W., Wilson, K., Monson, R. K. (2004) A Nonparametric Method For Separating Photosynthesis And Respiration Components In CO2 Flux Measurements, Geophysical Research Letters, 31(17), n/a-n/a. https://doi.org/10.1029/2004gl020490
2002	Hadley, J. L., Schedlbauer, J. L. (2002) Carbon Exchange Of An Old-Growth Eastern Hemlock (Tsuga Canadensis) Forest In Central New England, Tree Physiology, 22(15-16), 1079-1092. https://doi.org/10.1093/treephys/22.15-16.1079
2004	Bond-Lamberty, B., Wang, C., Gower, S. T. (2004) A Global Relationship Between The Heterotrophic And Autotrophic Components Of Soil Respiration?, Global Change Biology, 10(10), 1756-1766. https://doi.org/10.1111/j.1365-2486.2004.00816.x

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.

Wind Roses

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

Image scale: 748m x 748m

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

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

US-Ha2: Harvard Forest Hemlock Site

US-Ha2: Harvard Forest Hemlock Site

DOI(s) for citing US-Ha2 data

Publication(s) for citing site characterization

Acknowledgments

Resources

US-Ha2: Harvard Forest Hemlock Site

Not Found

US-Ha2: Harvard Forest Hemlock Site

2014.US.Ha2.Sitevisit.IMG_4956

US-Ha2: Harvard Forest Hemlock Site

US-Ha2: Harvard Forest Hemlock Site

BADM for This Site

US-Ha2: Harvard Forest Hemlock Site

Wind Roses

Wind Speed (m/s)

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