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Landscape and Seasonal Patterns of Nitrous Oxide Emissions in a Semiarid Region
Author(s) -
Corre M. D.,
Kessel C.,
Pennock D. J.
Publication year - 1996
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj1996.03615995006000060028x
Subject(s) - loam , pasture , environmental science , precipitation , hydrology (agriculture) , physical geography , scale (ratio) , atmospheric sciences , soil science , soil water , geography , forestry , geology , meteorology , geotechnical engineering , cartography
As a prerequisite for quantification of annual N 2 O emissions at a regional scale, this study was conducted to determine the landscape‐scale patterns and seasonal fluctuations of N 2 O emission and to demonstrate the linking relationships between large‐scale controllers and proximal factors of N 2 O emission. An area of the Black soil zone of central Saskatchewan, Canada, was stratified into three main textural areas: clay loam, fine sandy loam, and sandy. Within each textural area, representative sites were selected based on land use: unfertilized and fertilized cropland, fallow, pasture, and forest sites. A consistent landscape‐scale pattern of N 2 O emission was observed; footslope positions had higher N 2 O fluxes than shoulder positions. The role of topography is attributed to its strong influence on the hydrologic and pedologic processes in the landscape, which, in turn, regulate the soil factors controlling N 2 O emission at the microscale level. The seasonal fluctuation of N 2 O emission was influenced by precipitation. Pulses of activity were observed during summer, after rainfall events following N fertilizer application, and during spring thaw. At the regional scale, the sandy area had lower N 2 O emissions than the fine‐textured areas. The general order of N 2 O evolved among the land uses was forest < pasture < fallow ≈ unfertilized < fertilized cropland. Our results showed the importance of developing spatially based, predictive relationships between N 2 O emission and its controlling factors. Linking these relationships with large‐scale integrative variables, such as soil texture and land use, provides a means for extrapolating N 2 O fluxes from landscape to regional scale.