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Hydrological and biogeochemical controls on the timing and magnitude of nitrous oxide flux across an agricultural landscape

Authors :
Michael J. Castellano
Curtis J. Dell
Henry Lin
Chris B. Graham
John P. Schmidt
Jason P. Kaye
Charles W. Walker
Source :
Global Change Biology. 16:2711-2720
Publication Year :
2010
Publisher :
Wiley, 2010.

Abstract

Anticipated increases in precipitation intensity due to climate change may affect hydrological controls on soil N 2 O fluxes, resulting in a feedback between climate change and soil greenhouse gas emissions. We evaluated soil hydrologic controls on N 2 O emissions during experimental water table fluctuations in large, intact soil columns amended with 100 kg ha -1 -KNO 3 -N. Soil columns were collected from three landscape positions that vary in hydrological and biogeochemical properties (N = 12 columns). We flooded columns from bottom to surface to simulate water table fluctuations that are typical for this site, and expected to increase given future climate change scenarios. After the soil was saturated to the surface, we allowed the columns to drain freely while monitoring volumetric soil water content, matric potential and N 2 O emissions over 96 h. Across all landscape positions and replicate soil columns, there was a positive linear relationship between total soil N and the log of cumulative N 2 O emissions (r 2 = 0.47; P = 0.013). Within individual soil columns, N 2 O flux was a Gaussian function of water-filled pore space (WFPS) during drainage (mean r 2 = 0.90). However, instantaneous maximum N 2 O flux rates did not occur at a consistent WFPS, ranging from 63% to 98% WFPS across landscape positions and replicate soil columns. In contrast, instantaneous maximum N 2 O flux rates occurred within a narrow range (-1.88 to -4.48 kPa) of soil matric potential that approximated field capacity. The relatively consistent relationship between maximum N 2 O flux rates and matric potential indicates that water filled pore size is an important factor affecting soil N 2 O fluxes. These data demonstrate that matric potential is the strongest predictor of the timing of N 2 O fluxes across soils that differ in texture, structure and bulk density.

Details

ISSN :
13541013
Volume :
16
Database :
OpenAIRE
Journal :
Global Change Biology
Accession number :
edsair.doi...........33bc55e79ddce5086ce36963d7717e91
Full Text :
https://doi.org/10.1111/j.1365-2486.2009.02116.x