Articles | Volume 12, issue 12
Research article
26 Jun 2015
Research article |  | 26 Jun 2015

Wet-season spatial variability in N2O emissions from a tea field in subtropical central China

X. Fu, X. Liu, Y. Li, J. Shen, Y. Wang, G. Zou, H. Li, L. Song, and J. Wu

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Cited articles

Akiyama, H., Yan, X. Y., and Yagi, K.: Estimations of emission factors for fertilizer-induced direct N2O emissions from agricultural soils in Japan: Summary of available data, Soil Sci. Plant Nutr., 52, 774–787, 2006.
Ambus, P. and Christensen, S.: Measurement of N2O emission from a fertilized grassland: an analysis of spatial variability, J. Geophys. Res., 99, 16557–16567, 1994.
Armstrong, M.: Basic linear Geostatistics, Springer Verlag, Berlin, 153 pp., 1998.
Ball, B. C., Horgan, G. W., Clayton, H., and Parker, J. P.: Spatial variability of nitrous oxide fluxes and controlling soil and topographic properties, J. Environ. Qual., 26, 1399–1409, 1997.
Clemens, J. Schillinger, M. P., Goldbach, H., and Huwe, B.: Spatial variability of N2O emissions and soil parameters of an arable silt loam – a field study, Biol. Fert. Soils, 28, 403–406, 1999.
Short summary
We examined the spatial variability in N2O emissions from a tea field in a wet season using 147 static chambers. The N2O fluxes for a 30min snapshot ranged from -1.73 to 1659.11 g N ha-1 d-1 (average flux of 102.24 g N ha-1 d-1). Cokriging with NH4Nt and NO3Nt as covariables (r=0.74 and RMSE=1.18) outperformed ordinary kriging (r=0.18 and RMSE=1.74), regression kriging with the sample position as a predictor (r=0.49 and RMSE=1.55) and cokriging with SOCt as a covariable (r=0.58 and RMSE=1.44).
Final-revised paper