Lancaster EPrints

Methane emissions from soils:synthesis and analysis of a large UK data set

Levy, P. M. and Burden, A. and Cooper, M.D.A. and Dinsmore, K.J. and Drewer, J. and Evans, C. and Fowler, D. and Gaiawyn, J. and Gray, A. and Jones, S.K. and Jones, T. and McNamara, N.P. and Mills, R. and Ostle, Nick and Sheppard, L.J. and Skiba, U. and Sowerby, A. and Ward, Sue and Zielinski, P. (2012) Methane emissions from soils:synthesis and analysis of a large UK data set. Global Change Biology, 18 (5). pp. 1657-1669. ISSN 1354-1013

Full text not available from this repository.

Abstract

Nearly 5000 chamber measurements of CH4 flux were collated from 21 sites across the United Kingdom, covering a range of soil and vegetation types, to derive a parsimonious model that explains as much of the variability as possible, with the least input requirements. Mean fluxes ranged from −0.3 to 27.4 nmol CH4 m−2 s−1, with small emissions or low rates of net uptake in mineral soils (site means of −0.3 to 0.7 nmol m−2 s−1) and much larger emissions from organic soils (site means of −0.3 to 27.4 nmol m−2 s−1). Less than half of the observed variability in instantaneous fluxes could be explained by independent variables measured. The reasons for this include measurement error, stochastic processes and, probably most importantly, poor correspondence between the independent variables measured and the actual variables influencing the processes underlying methane production, transport and oxidation. When temporal variation was accounted for, and the fluxes averaged at larger spatial scales, simple models explained up to ca. 75% of the variance in CH4 fluxes. Soil carbon, peat depth, soil moisture and pH together provided the best sub-set of explanatory variables. However, where plant species composition data were available, this provided the highest explanatory power. Linear and nonlinear models generally fitted the data equally well, with the exception that soil moisture required a power transformation. To estimate the impact of changes in peatland water table on CH4 emissions in the United Kingdom, an emission factor of +0.4 g CH4 m−2 yr−1 per cm increase in water table height was derived from the data.

Item Type: Article
Journal or Publication Title: Global Change Biology
Uncontrolled Keywords: CH4 ; data synthesis ; greenhouse gases ; meta-analysis ; methane ; methanogenesis ; static chamber
Subjects: UNSPECIFIED
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 58215
Deposited By: ep_importer_pure
Deposited On: 12 Sep 2012 16:54
Refereed?: Yes
Published?: Published
Last Modified: 21 Feb 2014 09:53
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/58215

Actions (login required)

View Item