BOREAS TGB-12 222Rn Activity data over the NSA

Summary:

The BOREAS TGB-12 team made measurements of soil carbon inventories, carbon 
concentration in soil gases, and rates of soil respiration at several sites to 
estimate the rates of carbon accumulation and turnover in each of the major 
vegetation types.  Sampling strategies for soils were designed to take advantage 
of local fire chronosequences, so that the accumulation of C in regrowing mosses 
could be determined.  All the data are used to (1) calculate the inventory of C 
and N in moss and mineral soil layers at NSA sites (2) determine the rates of 
input and turnover (using both accumulation since the last stand-killing fire 
and radiocarbon data) and (3) link changes in soil respiration rate to shifts in 
the 14C content of soil CO2 to determine the average 'age' respired CO2.  These 
222Rn activity data were collected from 15-NOV-1993 to 16-AUG-1994 over the NSA 
sites.  The data in this data set are stored in tabular ASCII files.


Table of Contents
   *  1 Data Set Overview
   *  2 Investigator(s)
   *  3 Theory of Measurements
   *  4 Equipment
   *  5 Data Acquisition Methods
   *  6 Observations
   *  7 Data Description
   *  8 Data Organization
   *  9 Data Manipulations
   *  10 Errors
   *  11 Notes
   *  12 Application of the Data Set
   *  13 Future Modifications and Plans
   *  14 Software
   *  15 Data Access
   *  16 Output Products and Availability
   *  17 References
   *  18 Glossary of Terms
   *  19 List of Acronyms
   *  20 Document Information

1. Data Set Overview

1.1 Data Set Identification

BOREAS TGB-12 222Rn Activity data over the NSA

1.2 Data Set Introduction

This dataset contains seasonal variations in the 222Rn soil gas concentrations. 
The data presented represent sampling from the fall of 1993 to the summer of 
1994.

1.3 Objective/Purpose

The objective of these data are to estimate rates of carbon input, turnover, and 
accumulation in the soils of each of the major vegetation types at the BOREAS 
study sites.  In addition, the data will be used to relate the estimates of soil 
carbon dynamics to ecosystem models of the carbon cycle, other measures of C 
cycling dynamics, regional models of soil carbon accumulation, and spatial and 
temporal models of soil moisture and drainage. 

1.4 Summary of Parameters

222Rn Activity and soil depth were measured over the BOReal Ecosystem Atmosphere 
Study (BOREAS) Northern Study Area (NSA).

1.5 Discussion

Carbon inventories together with 14C data determine C storage and the 
accumulation rate of C (in non-steady state systems), or the turnover rate of C 
(in systems where C turnover rate is less than soil or disturbance age).  These 
data may be verified using the isotopic composition of respired CO2 (which will 
reflect the 14C content of root respiration and decomposing organic matter), and 
by the soil C inputs and losses.

1.6 Related Data Sets 

BOREAS TGB-12 CO2 Flux Data over the NSA
BOREAS TGB-12 Soil Carbon Isotope Data over the NSA
BOREAS TGB-05 Fire History Map in Raster Format 
BOREAS TE-18  LandSat Level 3 Land Cover Classification of NSA
BOREAS AFM-12  Land Cover Classification from AVHRR
BOREAS Regional Soils Data in Raster Format and AEAC Projection
BOREAS Soils Data over the SSA in Raster Format and AEAC Projection
BOREAS TGB-01 Soil CH4 and CO2 Profile Data over the NSA

2. Investigator(s)

2.1 Investigator(s) Name and Title

Susan Trumbore
Department of Earth System Science
UC Irvine

Jennifer Harden
US Geological Survey
Menlo Park, CA

Eric Sundquist
US Geological Survey
Woods Hole, MA

2.2 Title of Investigation

Input, Accumulation and Turnover of Carbon in BOREAS NSA soils (TGB-12)

2.3 Contact Information

Contact 1
Jennifer Harden
US Geological Survey
Menlo Park, CA 
Phone:  415-329-4949 
FAX:  415-329-4936
e-mail:  harden@usgs.gov

Contact 2
Susan Trumbore
Department of Earth System Science
University of California
Irvine, CA 
Phone:  714-824-6142 
FAX:  714-824-3256
e-mail:  setrumbo@uci.edu

Contact 3
Eric Sundquist
US Geological Survey
Woods Hole, MA 
Phone:  508-457-2397
e-mail:  sundquist@nobska.wr.usgs.gov

Contact 4
Greg Winston
US Geological Survey
Woods Hole, MA 

Contact 5
Sara K. Conrad
Raytheon STX Corporation
NASA/GSFC
Greenbelt, MD 
(301)286-2624
(301)286-0239 (fax)
Sara.Golightly@gsfc.nasa.gov

3. Theory of Measurements

Special pits were instrumented with thermistors (for monitoring soil 
temperature), TDR probes (for monitoring soil water content), and soil gas 
probes (1/8" stainless steel tubing, perforated at one end and inserted 50 to 
100 cm laterally into the soil pit wall, capped with 1/8" swagelock union 
fittings sealed with a septum).  Further details are given in Winston et al. 
(submitted), and in section 4, below.

222Rn gas samples were obtained using gas-tight syringes, 60 cc, were dried (by 
passing through drierite), then allowed to fill an evacuated counting cell 
coated with phosphor scintillant and decay counted.  A Description of radon 
sampling and analysis procedures is given in Davidson and Trumbore (1995).

4. Equipment:

4.1 Sensor/Instrument Description

As all of the equipment used in this project is common to many other projects 
and no special procedures were used, we have minimized description detail in 
this section, and refer the reader to appropriate publications.

Field equipment for soil collection was minimal, excepting the pH test kit 
(LaMotte).  Drying ovens were supplied by the BOREAS project for the NSA labs.  
We brought our own scale, which was frequently checked using a calibration 
weight.

Radon measurements were made using Pylon alpha scintillation counters.

4.1.1 Collection Environment

Samples were collected under all environmental conditions.

4.1.2 Source/Platform

Soil.

4.1.3 Source/Platform Mission Objectives

The objective was to determine the soil 222Rn Activity.

4.1.4 Key Variables

The key variables measured were 222Rn Activity and soil depth.

4.1.5 Principles of Operation

None given.

4.1.6 Sensor/Instrument Measurement Geometry

Not applicable.

4.1.7 Manufacturer of Sensor/Instrument

None given.

4.2 Calibration

Radon cell efficiencies were determined in the lab using background air and 226Ra 
of known activity absorbed to manganese fibers and sealed in a tube.  Counting 
cell backgrounds were determined using ambient air (see Davidson and Trumbore, 
1995, for details of radon measurement methods).

4.2.1 Specifications

None given.

4.2.1.1 Tolerance

None given.

4.2.2 Frequency of Calibration

None Given.

4.2.3 Other Calibration Information

None.

5. Data Acquisition Methods

None Given.  

6. Observations

6.1 Data Notes

None given.

6.2 Field Notes

None Given.

7. Data Description

7.1 Spatial Characteristics

7.1.1 Spatial Coverage

The North American Datum 1983 (NAD83) coordinates of the sites were:

Site              Latitude   Longitude
------            ---------  ----------
NSA-OBS:          55.88007N  98.48139W
NSA-OJP:          55.92842N  98.62396W
NSA-YJP:          55.89575N  98.28706W
NSA-Gillam Road:  55.9055 N  97.70872W

7.1.2 Spatial Coverage Map

Not available.

7.1.3 Spatial Resolution

None given.

7.1.4 Projection

Not applicable.

7.1.5 Grid Description

Not applicable.

7.2 Temporal Characteristics

7.2.1 Temporal Coverage

Soil gas flux and concentration measurements were made from Nov 1993 to Aug 
1994.

7.2.2 Temporal Coverage Map

Not applicable.

7.2.3 Temporal Resolution

The temporal resolution of the measurements was variable.  Some sites were 
visited once and other were visited multiple times.

7.3 Data Characteristics

Data characteristics are defined in the companion data definition file 
(tgb12rad.def).

7.4 Sample Data Record

Sample data format shown in the companion data definition file (tgb12rad.def).

8. Data Organization

8.1 Data Granularity

All of the BOREAS TGB-12 222Rn Activity data over the NSA data are contained in 
one dataset.

8.2 Data Format(s)

The files contain numerical and character fields of varying length separated by 
commas. The character fields are enclosed with single apostrophe marks. There 
are no spaces between the fields.  Sample data records are shown in the 
companion data definition file (tgb12rad.def).

9. Data Manipulations

9.1 Formulae

9.1.1 Derivation Techniques and Algorithms

Methods for calculating radon and radiocarbon data are given in Davidson and 
Trumbore (1995) and Trumbore (1995).

9.2 Data Processing Sequence

None given.

9.2.1 Processing Steps

None given.

9.2.2 Processing Changes

None given.

9.3 Calculations

None given.

9.3.1 Special Corrections/Adjustments

None given.

9.3.2 Calculated Variables

None given.

9.4 Graphs and Plots

None given.

10. Errors

10.1 Sources of Error

Sources of error include inaccuracies in soil collection, instrument errors 
during running of samples. 

10.2 Quality Assessment

10.2.1 Data Validation by Source

Analyzing known-value standards as unknowns assesses errors in laboratory 
procedures.  The accuracy of measurement is defined as the standard error of the 
mean of the analyses.

Errors for bulk soil analyses are harder to estimate.  The most uncertain terms 
are bulk density (largely due to uncertainties in horizon thickness). The 
calculation of grams/cm2 is therefore less prone to error than grams/cm3.  We 
estimate the uncertainty in bulk density at approximately 10%, but it is 
difficult to ascertain as lateral and vertical heterogeneity is large (therefore 
a 'replicate' sample cannot truly be taken in the field).  The error in bulk 
density will propagate through to other values, such as volumetric moisture 
content. 

There are many sources of error in flux measurements. The ones associated with 
our methods are detailed in Stephens et al (submitted).  Errors involved in soil 
gas sampling include: the volume of soil air space sampled (500 cc to 1 liter) 
represents a far larger volume of soil.  Thus the depth assigned to a soil gas 
sample (i.e. the depth of the probe) may not represent the average for the 
interval integrated in the gas sample taken from it (that is, air may be pulled 
down from above or up from below).  We give only analytical errors in our data 
sets

10.2.2 Confidence Level/Accuracy Judgment

For radon measurements, accuracy is 10% of the measured value, with most of the 
error due to uncertainty in the efficiency of the counting cell.

10.2.3 Measurement Error for Parameters

For radon measurements, accuracy is 10% of the measured value, with most of the 
error due to uncertainty in the efficiency of the counting cell.

10.2.4 Additional Quality Assessments

None.

10.2.5 Data Verification by Data Center

Data was examined for general consistency and clarity.

11. Notes

11.1 Limitations of the Data

None given.

11.2 Known Problems with the Data

None given.

11.3 Usage Guidance

None given.

11.4 Other Relevant Information

None.

12. Application of the Data Set

The data can be used for estimation of soil gas exchange rates from 222Rn data 
(or testing of soil gas exchange rates derived from models).

13. Future Modifications and Plans

None given.

14. Software

14.1 Software Description

Calculations of fluxes for radon used linear regression from programs like 
Microsoft Excel and Kaleidograph.

14.2 Software Access

Software sold by Licor and Campbell was used with the IRGA and data loggers.

15. Data Access

15.1 Contact Information

Ms. Beth Nelson
BOREAS Data Manager
NASA GSFC
Greenbelt, MD 
(301) 286-4005
(301) 286-0239 (fax)
Elizabeth.Nelson@gsfc.nasa.gov

15.2 Data Center Identification

See 15.1.

15.3 Procedures for Obtaining Data

Users may place requests by telephone, electronic mail, or FAX.

15.4 Data Center Status/Plans

The TGB-12 Radon activity data are available from the EOSDIS ORNL DAAC (Earth 
Observing System Data and Information System) (Oak Ridge National Laboratory) 
(Distributed Active Archive Center). The BOREAS contact at ORNL is: 

ORNL DAAC User Services
Oak Ridge National Laboratory
(865) 241-3952
ornldaac@ornl.gov
ornl@eos.nasa.gov

16. Output Products and Availability

16.1 Tape Products

None.

16.2	Film Products

None.

16.3	Other Products

Comma separated ASCII files with text delimited by single quotes (�).

17. References

17.1 Platform/Sensor/Instrument/Data Processing Documentation

Not applicable.

17.2 Journal Articles and Study Reports

Donahue, D. J., T. W. Linick and A. J. T. Jull, Isotope-ratio and background 
corrections for accelerator mass spectrometry radiocarbon measurements, 
Radiocarbon 32: 135-142 (1990).

Goh, K. M., Carbon dating, chapter 8 (pp. 125 - 145), in, D. C. Coleman and B. 
Fry, Carbon isotope techniques, Academic Press, San Diego (1991).

ONeill, K. P., J. W. Harden, S. E. Trumbore, H. Veldhuis, 1995. U S Geological 
Survey Open File Report. 

Harden, J. W., K. P. O'Neill, S. E. Trumbore, H. Veldhuis, and B. J. Stocks, 
submitted. Accumulation and Turnover of carbon in soils of the BOREAS NSA 2. 
Carbon balance in soils of a mature black spruce stand (BOREAS NSA OBS). 
submitted for JGR Atmospheres special BOREAS issue.

Southon, J., R., J. S. Vogel, S. E. Trumbore and others, Progress in AMS 
measurements at the LLNL spectrometer, Radiocarbon 34: 473 - 477 (1992).

Stuiver, M. and H.  Polach., Reporting of 14C data. Radiocarbon 19: 355-363 
(1977).

Stuiver, M. and R.  Kra, 1993. Radiocarbon v. 35 No 1. Calibration Issue.  

Taylor, R. E., A. Long, and R. Kra, eds., Radiocarbon after Four Decades: An 
interdisciplinary perspective, Springer-Verlag, NY,596 pp. (1992).

Trumbore,S. E.,  Comparison of carbon dynamics in two soils using measurements 
of radiocarbon in pre-and post-bomb soils. Global Biogeochemical Cycles 7:275-
290 (1993).

Trumbore, S. E. and J. W. Harden, submitted. Accumulation and Turnover of carbon 
in soils of the BOREAS NSA 1. Methods for determining soil C balance in surface 
and deep soil. submitted for JGR Atmospheres special BOREAS issue.
 
Trumbore, S. E. Measurement of cosmogenic isotopes by accelerator mass 
spectrometry: applications to soil science, p. 311-340 in Mass Spectrometry of 
Soils, T. Boutton and S. Yamasaki, eds, Marcel Dekker (New York) (1996).

Verardo, D., Froelich, P.N. and McIntyre, A., 1990. Determination of organic 
carbon and nitrogen in marine sediments using the Carlo-Erba-N!-1500 Analyzer.  
Deep-Sea Research, Part A - Oceanographic Research Papers 37:157-165.

Davidson, E. A. and S. E. Trumbore.  Gas diffusivity and production of CO2 in 
deep soils of the eastern Amazon, Tellus. 47B: 550-565 (1995).

Mathieu, G. G. P. E. Biscaye, R. A. Lupton and D. E. Hammond, 1988. System for 
measurement of 222Rn at low levels in natural waters. Heath Physics 55:989-992.

Stephens, B. B. and E. T. Sundquist, submitted. Measurements of soil surface gas 
fluxes using closed chamber techniques.  (contact authors for status - Stephens 
is now a student at Scripps Institution of oceanography)

Winston, G. C., E. T. Sundquist, B. B. Stephens and S. E. Trumbore, submitted, 
Winter CO2 fluxes in a boreal forest; submitted for JGR Atmospheres special 
BOREAS issue.

17.3 Archive/DBMS Usage Documentation

None.

18. Glossary of Terms

None given.

19. List of Acronyms

    AMS     - Accelerator Mass Spectrometry
    BOREAS  - BOReal Ecosystem-Atmosphere Study
    BORIS   - BOREAS Information System
    DAAC    - Distributed Active Archive Center
    EOS     - Earth Observing System
    EOSDIS  - EOS Data and Information System
    GSFC    - Goddard Space Flight Center
    NASA    - National Aeronautics and Space Administration
    NSA     - Northern Study Area
    ORNL    - Oak Ridge National Laboratory
    PANP    - Prince Albert National Park
    SSA     - Southern Study Area
    URL     - Uniform Resource Locator

20. Document Information

20.1 Document Revision Date

    Written:         14-Nov-1997
    Last Updated:    05-Aug-1998

20.2 Document Review Date(s)

     BORIS Review:   10-Jul-1998
     Science Review:

20.3 Document

20.4 Citation

For soils data, the USGS open file reports (see references, 17.2) should be 
cited.  For interpretations, cite submitted JGR papers (see references, 17.2).  
Other citations should refer to the BORIS data set.

20.5 Document Curator

20.6 Document URL

Keywords
14C, 13C, 222Rn, CO2, CH4, Flux, Soil gas concentration
TGB12_RadonActivity
08/20/98