SSSAJ Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 13 May 2009
Published in Soil Sci Soc Am J 73:1087-1093 (2009)
DOI: 10.2136/sssaj2008.0307
© 2009 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Venterea, R. T.
Right arrow Articles by Baker, J. M.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Venterea, R. T.
Right arrow Articles by Baker, J. M.
Agricola
Right arrow Articles by Venterea, R. T.
Right arrow Articles by Baker, J. M.
Related Collections
Right arrow Soil Methods/Instrumentation
Right arrow Global Change
Right arrow Analytical Solutions

SOIL PHYSICS

Accuracy and Precision Analysis of Chamber-Based Nitrous Oxide Gas Flux Estimates

Rodney T. Venterea*, Kurt A. Spokas and John M. Baker

USDA-ARS, Soil and Water Management Research Unit, 1991 Upper Buford Circle, 439 Borlaug Hall, St. Paul, MN 55108

* Corresponding author (rod.venterea{at}ars.usda.gov).

Chamber-based estimates of soil-to-atmosphere nitrous oxide (N2O) gas flux tend to underestimate actual emission rates due to inherently nonlinear time series data. In theory, this limitation can be minimized by adjusting measurement conditions to reduce nonlinearity and/or by using flux-calculation (FC) schemes that account for the so-called "chamber effect." The current study utilizes gas transport theory and stochastic analysis to evaluate accuracy and precision of N2O flux determinations under specific soil and chamber conditions. The analysis demonstrates that measures taken to increase the absolute accuracy of flux estimates, including shorter deployment times, larger chamber heights, and nonlinear FC schemes, will also increase the variance in flux estimates to an extent that depends on errors associated with sampling techniques and analytical instrument performance. These effects, in the absence of any actual variation in fluxes, can generate coefficients of variation ranging from 3 to 70% depending on measurement conditions. It is also shown that nonlinear FC schemes are prone to generating positively skewed distributions. These effects decrease confidence in N2O flux estimates and inhibit the detection of differences arising from experimental factors. In general, a linear FC scheme will be more likely to detect relative differences in fluxes, although less accurate in absolute terms than nonlinear schemes. The techniques described here have been codified into an accessible spreadsheet-based tool for evaluating accuracy and precision trade-offs under specific measurement conditions.

Abbreviations: CV, coefficient of variation • DT, deployment time • ECD, electron capture detector • GC, gas chromatograph • h, chamber height • HM, Hutchinson & Mosier; FC, flux-calculation • MC, Monte Carlo • Quad, quadratic • RE, relative error • WFPS, water-filled pore space







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2009 by the Soil Science Society of America.