SSSAJ Grow Your Career with SSSA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 23 May 2006
Published in Soil Sci Soc Am J 70:1110-1120 (2006)
DOI: 10.2136/sssaj2005.0264
© 2006 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Figures Only
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
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 Similar articles in ISI Web of Science
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 HighWire
Right arrow Citing Articles via ISI Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Yates, T. T.
Right arrow Articles by Pennock, D. J.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Yates, T. T.
Right arrow Articles by Pennock, D. J.
Agricola
Right arrow Articles by Yates, T. T.
Right arrow Articles by Pennock, D. J.
Related Collections
Right arrow Spatial Distribution
Right arrow Air Pollution
Right arrow Nitrogen

Soil Biology & Biochemistry

Wavelet Spectra of Nitrous Oxide Emission from Hummocky Terrain during Spring Snowmelt

T. T. Yates*, B. C. Si, R. E. Farrell and D. J. Pennock

Dep. of Soil Science, Univ. of Saskatchewan, Agriculture Building, 51 Campus Dr., Saskatoon, SK, S7N 5A8 Canada

* Corresponding author (yates{at}sask.usask.ca)

Soil N2O emission data is typically highly skewed. In terrain where the spatial distribution of soil processes is controlled by topography, extreme N2O flux events can be highly localized and nonstationary. Wavelet analysis can be used to describe the spatial variation of these nonstationary processes. The objectives of this study were to use wavelet analysis to determine the spatial variation, scales of variability and their change over the snowmelt period for soil N2O flux. On a hummocky, agricultural landscape in the Dark Brown soil zone of Saskatchewan, N2O flux measurements were taken from a 128-point linear transect five times over the spring snowmelt season of 2004. Localized variance was determined using a continuous wavelet transform (Mexican Hat) and the local spectrum was compared with the distribution of fluxes along the transect and the relative elevation. Two spatial patterns of soil N2O emission were revealed. The first was a cyclic, landscape-element-controlled pattern with a scale of variation that ranged between 20 and 60 m. Changes in the spatial scale were due to a shift in importance between landscape elements as sources of peak N2O flux. The second pattern was composed of non-cyclic, localized features that were due to extreme flux events at specific landscape positions. These extreme flux events were not temporally persistent, but represent a large, non-random contribution to mean and variance on the dates they occurred. Sample strategies to capture the full range of soil N2O emission at this site would probably require separate approaches for these two spatial patterns.

Abbreviations: CV, concave • CW, cultivated wetland • CX, convex • MDCD, minimal detectable concentration difference • UW, uncultivated wetland • WFPS, water-filled pore space




This article has been cited by other articles:


Home page
Vadose Zone JHome page
B. C. Si
Spatial Scaling Analyses of Soil Physical Properties: A Review of Spectral and Wavelet Methods
Vadose Zone J., May 27, 2008; 7(2): 547 - 562.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Vadose Zone Journal Journal of Plant Registrations
Journal of Natural Resources
and Life Sciences Education
Journal of
Environmental Quality
Copyright © 2006 by the Soil Science Society of America.