NITROUS-OXIDE FLUXES FROM GRASSLAND IN THE NETHERLANDS .1. STATISTICAL-ANALYSIS OF FLUX-CHAMBER MEASUREMENTS

Citation
Gl. Velthof et O. Oenema, NITROUS-OXIDE FLUXES FROM GRASSLAND IN THE NETHERLANDS .1. STATISTICAL-ANALYSIS OF FLUX-CHAMBER MEASUREMENTS, European journal of soil science, 46(4), 1995, pp. 533-540
Citations number
27
Categorie Soggetti
Agriculture Soil Science
ISSN journal
13510754
Volume
46
Issue
4
Year of publication
1995
Pages
533 - 540
Database
ISI
SICI code
1351-0754(1995)46:4<533:NFFGIT>2.0.ZU;2-R
Abstract
Accurate estimates of total nitrous oxide (N2O) losses from grasslands derived from flux-chamber measurements are hampered by the large spat ial and temporal variability of N2O fluxes from these sites. In this s tudy, four methods for the calculation of mean N2O fluxes (n = 6) on t otal N2O losses are compared, namely the arithmetic mean, the geometri c mean, the lognormal mean and the mean derived from Finney's method. Mean Auxes were calculated from weekly flux measurements on grassland at four contrasting sites in the Netherlands with three management tre atments each. Total losses were calculated by interpolation of the mea n fluxes and integration over time. Spatial variation of N2O fluxes wa s large. The geometric mean was generally much smaller, up to a factor of 7, than the arithmetic mean. The lognormal mean was much larger, u p to a factor of 11, than the arithmetic mean, possibly because this e stimator is biased for small sample size. Arithmetic means and Finney' s method were generally in reasonable agreement. The order in estimate d N2O loss increased in the order geometric mean<arithmetic mean less than or equal to Finney's mean<lognormal mean. Because of the small sa mple size (n = 6), the uncertainty about the precise frequency distrib ution, the sensitivity of estimators based on logtransformed data, and the problems associated with negative fluxes, the arithmetic mean was preferred as the most appropriate estimator. Evidently, the choice of an estimator of the mean can have great effects on the estimation of total N2O losses.