uid=PIE,o=EDI,dc=edirepository,dc=org all public read MAR-NE-EddyFlux-2013 Eddy flux measurements during 2013 from high marsh (Spartina patens/short Spartina alterniflora) off Nelson Island Creek, Rowley, Massachusetts Anne Giblin Marine Biological Laboratory (508) 289-7488 (508) 457-1548 agiblin@mbl.edu http://orcid.org/0000-0003-3851-2178 Inke Forbrich Marine Biological Laboratory (508) 289-7741 (508) 457-1548 iforbrich@mbl.edu Plum Island Ecosystems LTER http://pie-lter.ecosystems.mbl.edu/ Plum Island Ecosystems LTER http://pie-lter.ecosystems.mbl.edu/ 2016 English
We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a high marsh system (Spartina patens, short Spartina alterniflora) located on the Parker River Wildlife Refuge in marshes of Plum Island Sound, Rowley MA. This data represents the growing season CO2 exchange (May-October) in 2013.
Primary Production Organic Matter Core Areas high marsh primary production organic matter Massachusetts carbon fluxes net ecosystem exchange PIE LTER Plum Island Ecosystems LTER Controlled Vocabulary  
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https://pie-lter.ecosystems.mbl.edu/content/eddy-flux-measurements-during-2013-high-marsh-spartina-patensshort-spartina-alterniflora-nel PIE Eddy Flux station in high marsh (S. patens, short S. alterniflora) off Nelson Island Creek, Parker River National Wildlife Refuge, Rowley, MA -70.828002929688 -70.828002929688 42.739387512207 42.739387512207 0 0 meter 2013-01-01 2013-12-31   Data collection and processing complete Version 01: January 21, 2016, data and metadata created to comply with importation to Drupal and LTER PASTA. Used MarcrosExportEML_HTML (working)pie_excel2007_Jan2015.xlsm 1/15/15 4:26 PM for QA/QC to EML 2.1.0 Plum Island Ecosystems LTER http://pie-lter.ecosystems.mbl.edu/ Plum Island Ecosystems LTER http://pie-lter.ecosystems.mbl.edu/ Plum Island Ecosystems
We deployed one eddy covariance system to measure NEE of the dominant high marsh at PIE. The location of the tower is ca. 2km away from the parking lot at Stackyard Road within the Nelson Creek catchment. Deployment of the system is seasonal from mid-April to mid-November. The site was equipped with a Campbell Scientific® Closed Path System (CPEC200). Micrometeorological instrumentation was mounted on a tower at a height of 4.16m above the marsh surface at low tide. 10Hz rawdata were stored on a 2 Gb PCMCIA card and downloaded every two to three weeks. Power for the datalogger and instrumentation was located ca.8 m to the northeast of the tower and consisted of four south-facing solar panels and four 6 V 225 amp-hour batteries. Environmental data were recorded as 10min averages. Air temperature and relative humidity were monitored at the same height as the anemometer (Campbell Scientific HC2S3 enclosed in a naturally aspirated radiation shield). A four-component net radiometer (Hukseflux NR01) was mounted 1.5 m aboveground of the high marsh. At the same height, two sensors (LI190SB, Licor) monitored incoming and reflected photosynthetically active radiation (PAR). In addition, a pressure transducer (Campbell Scientific CS456) recorded water table height at the high marsh. Soil temperature at a depth of 2cm, 6cm, 10cm, 20cm and 40cm was measured with (TCAV-L; Campbell Scientific; Logan, Utah, USA), and soil heat flux at a depth of 8 cm was measured with two soil heat flux plates (HFP01-SC; Campbell Scientific; Logan, Utah, USA). This data was recorded on a separate CR3000 datalogger. Turbulent fluxes of momentum, sensible heat, latent heat and CO2 were determined by the eddy covariance technique (Baldocchi et al. 1988). Half hourly CO2 and H2O fluxes were calculated as the covariance between the turbulent departures from the mean of the 10 Hz vertical wind speed measured with a 3D sonic anemometer (CSAT3; Campbell Scientific; Logan, Utah, USA) and the CO2 and H2O dry mixing ratio measured with the closed path analyzer. Fluxes were processed using EdiRe software (Robert Clement, University of Edinburgh) and reported using the meteorological sign convention where negative NEE indicates carbon uptake and positive NEE indicates carbon loss from the ecosystem. Two coordinate rotations were performed on the wind components, and the time lag between wind and CO2 mixing ratio measurements was determined and removed for each averaging interval of 30min. For every 30 min period, a factor for the correction of the frequency attenuation of the flux was calculated according to Moore [1986] and applied to the flux. Fluxes were calculated using the Edire software (version 1.5.0.32, R. Clement, University of Edinburgh, UK). Afterward, fluxes were filtered for system malfunctioning and calibration periods, integral turbulence characteristics, stationarity, and wind direction [Foken etal., 2012]. We also excluded measurements when less than 75% of the flux was generated within the study area. Thresholds in friction velocity (u∗) for nighttime fluxes were determined according to Papale et al. [2006] and was set to 0.14m/s.. To continuously monitor aboveground biomass, we calculated a broadband normalized difference vegetation index (NDVI) based on the approach of Wilson and Meyers [2007]. Incoming (i) and reflected (r) Solar (S) and photosynthetically active radiation (PAR) measurements were converted into red and near-infrared reflectance. Solar zenith effects were removed by using data exclusively around solar noon (10 A.M.–2 P.M. EST). In our system, spring tides occurred around noon, so that simultaneous radiation measurements recorded the effect of tidal inundation at that time. A decrease in NDVI would reflect that during inundation the amount of biomass that was air exposed was smaller than under nonflooded conditions. We included this effect in our NEE model by creating two continuous time series of NDVI to simulate flooded and nonflooded conditions: NDVIall which included spring tide effects, and a reference time series, NDVIref, which represented nonflooded conditions. NEE is gap-filled with a modified PLIRTLE model (NEE=GPP+Reco), using NDVI_all, air temperature and PAR as input. GPP_all and Reco_all are estimated using the two sub-models of the PLIRTLE model. GPP_ref and Reco_ref are modelled with NDVI_ref as input variable and thus represent the fluxes occurring if no tidal inundation had occurred. References: Baldocchi et al. [1988]: Measuring Biosphere-Atmosphere Exchanges of Biologically Related Gases with Micrometeorological Methods. Ecology, Vol. 69, No. 5, pp. 1331-1340. Moore [1986]: Frequency response correction s for eddy correlation systems. Boundary Layer Meteorology, Vol. 37, pp. 17-35. Foken et al. [2012]: Corrections and Data Quality Control. In: Aubinet, Vesala, Papale (editors): Eddy covariance - a practical guide to measurement and data analysis. Papale et al. [2006]: Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation . Biogeosciences, Vol. 3, pp. 571-583. Forbrich, I., and A. E. Giblin (2015), Marsh-atmosphere CO2 exchange in a New England salt marsh, J. Geophys. Res. Biogeosci., 120, doi:10.1002/2015JG003044.
 
MAR-NE-EddyFlux-2013_csv Eddy flux measurements during 2013 from high marsh (Spartina patens/short Spartina alterniflora) off Nelson Island Creek, Rowley, Massachusetts MAR-NE-EddyFlux-2013_0.csv 3892240 361b02daa6eb87260092bd65a8ea089b 2c53019db4278a0567fd241d16f8aba38618096f 1 0 column , https://pie-lter.ecosystems.mbl.edu/sites/default/files/data/MAR-NE-EddyFlux-2013_0.csv Date Date Date of measurements date DD-MON-YYYY Time Time Timestamp of measurements (center of 30min averaging period) date hh:mm zcorr zcorr measurement height of micromet instrumentation above surface meter real NaN PA PA atmospheric pressure kilopascal real NaN RH RH relative humidity percent real NaN Temp Temp air temperature celsius real NaN PAR PAR photosynthetic active radiation micromolePerMeterSquaredPerSecond real NaN WT WT water table height relative to high marsh surface meter real NaN NDVI_all NDVI_all Normalized difference vegetation index (NDVI) including response to inundation number real NaN NDVI_ref NDVI_ref Normalized difference vegetation index (NDVI) excluding response to inundation number real NaN vpd vpd vapor pressure deficit hectoPascal real NaN WD WD wind direction degree real NaN u u wind speed meterPerSecond real NaN umax umax max wind speed in averaging period meterPerSecond real NaN v_sigma v_sigma standard deviation in v component (after coordinate rotation) meterPerSecond real NaN u_sigma u_sigma standard deviation in u component (after coordinate rotation) meterPerSecond real NaN w_sigma w_sigma standard deviation in w component (after coordinate rotation) meterPerSecond real NaN ustar ustar friction velocity meterPerSecond real NaN ZL ZL stability parameter z/L number real NaN meanCO2 meanCO2 mean CO2 dry mixing ratio (micromole CO2 per mole of dry air) micromolePerMole real NaN meanTs meanTs mean sonic temperature celsius real NaN ITC ITC test result integral turbulence characteristics (after Foken and Wichura 1996) percent real NaN CO2_stat CO2_stat steady state test result for CO2 percent real NaN flag_csat flag_csat flag for anemometer (ideal conditions=0) number real NaN flag_irga flag_irga flag for infrared gas analyzer (ideal conditions=0) number real NaN flag_mode flag_mode flag for system mode (measurement mode=1) number real NaN fp_620m fp_620m percent of flux originating within 620m from tower (threshold 75% used) calculated with analytical footprint model after Kormann and Meixner (2001) percent real NaN NEE_qc NEE_qc quality controlled CO2 flux micromolePerMeterSquaredPerSecond real NaN storage storage Storage CO2 flux micromolePerMeterSquaredPerSecond real NaN NEE_f NEE_f gap-filled CO2 flux micromolePerMeterSquaredPerSecond real NaN GPP_all GPP_all modelled gross primary production (as CO2) including response to inundation micromolePerMeterSquaredPerSecond real NaN Reco_all Reco_all modelled ecosystem respiration (as CO2) including response to inundation micromolePerMeterSquaredPerSecond real NaN GPP_ref GPP_ref modelled gross primary production (as CO2) assuming no response to inundation micromolePerMeterSquaredPerSecond real NaN Reco_ref Reco_ref modelled ecosystem respiration (as CO2) assuming no response to inundation micromolePerMeterSquaredPerSecond real NaN MAR-NE-EddyFlux-2013_xls Excel metadata and data file associated with the csv data source file. Excel file after downloading is to be used for adding/editing new metadata and data. MAR-NE-EddyFlux-2013.xls 9819648 8a5b3fc05e26b911ae3edc4d8654822b c278dcdb358852801a318233bb2a7addba901a7a application/vnd.ms-excel https://pie-lter.ecosystems.mbl.edu/sites/default/files/data/MAR-NE-EddyFlux-2013.xls document
SI unit of length ratio of two quantities as percent composition (1:100) A common unit of temperature a number 360 degrees comprise a unit circle