Record Details
A practical approach for uncertainty quantification of high-frequency soil respiration using Forced Diffusion chambers
ScholarsArchive at Oregon State University
| Field | Value |
|---|---|
| Title | A practical approach for uncertainty quantification of high-frequency soil respiration using Forced Diffusion chambers |
| Names |
Lavoie, Martin
(creator) Phillips, C. L. (creator) Risk, David (creator) |
| Date Issued | 2015-01 (iso8601) |
| Note | This is the publisher’s final pdf. The published article is copyrighted by the American Geophysical Union and can be found at: http://agupubs.onlinelibrary.wiley.com/agu/jgr/journal/10.1002/%28ISSN%292169-8961/. |
| Abstract | This paper examines the sources of uncertainty for the Forced Diffusion (FD) chamber soil respiration (R[subscript s]) measurement technique and demonstrates a protocol for uncertainty quantification that could be appropriate with any soil flux technique. Here we sought to quantify and compare the three primary sources of uncertainty in R[subscript s]: (1) instrumentation error; (2) scaling error, which stems from the spatial variability of R[subscript s]; and (3) random error, which arises from stochastic or unpredictable variation in environmental drivers and was quantified from repeated observations under a narrow temperature, moisture, and time range. In laboratory studies, we found that FD instrumentation error remained constant as R[subscript s] increased. In field studies from five North American ecosystems, we found that as R[subscript s] increased from winter to peak growing season, random error increased linearly with average flux by about 40% of average R[subscript s]. Random error not only scales with soil flux but scales in a consistent way (same slope) across ecosystems. Scaling error, measured at one site, similarly increased linearly with average R[subscript s], by about 50% of average R[subscript s]. Our findings are consistent with previous findings for both soil fluxes and eddy covariance fluxes across other northern temperate ecosystems that showed random error scales linearly with flux magnitude with a slope of ~0.2. Although the mechanistic basis for this scaling of random error is unknown, it is suggestive of a broadly applicable rule for predicting flux random error. Also consistent with previous studies, we found the random error of FD follows a Laplace (double-exponential) rather than a normal (Gaussian) distribution. |
| Genre | Article |
| Topic | soil respiration |
| Identifier | Lavoie, M., Phillips, C. L., & Risk, D. (2015). A practical approach for uncertainty quantification of high frequency soil respiration using Forced Diffusion chambers. Journal of Geophysical Research: Biogeosciences, 120(1), 128-146. doi:10.1002/2014JG002773 |
