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

Peter E. Levy*, Annette Burden, Mark D.A. Cooper, Kerry J. Dinsmore, Julia Drewer, Chris Evans, David Fowler, Jenny Gaiawyn, Alan Gray, Stephanie K. Jones, Timothy Jones, Niall P. Mcnamara, Robert Mills, Nick Ostle, Lucy J. Sheppard, Ute Skiba, Alwyn Sowerby, Susan E. Ward, Piotr Zieliński

*Corresponding author for this work

Research output: Contribution to journalArticle

66 Citations (Scopus)

Abstract

Nearly 5000 chamber measurements of CH 4 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 CH 4 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 CH 4 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 CH 4 emissions in the United Kingdom, an emission factor of +0.4 g CH 4 m -2 yr -1 per cm increase in water table height was derived from the data.

Original languageEnglish
Pages (from-to)1657-1669
Number of pages13
JournalGlobal Change Biology
Volume18
Issue number5
DOIs
Publication statusPrint publication - 1 May 2012

Fingerprint

Methane
methane
Fluxes
Soils
water table
soil moisture
Soil moisture
soil
stochasticity
soil carbon
peatland
organic soil
vegetation type
soil type
peat
temporal variation
Peat
Water
oxidation
Measurement errors

Keywords

  • CH
  • Data synthesis
  • Greenhouse gases
  • Meta-analysis
  • Methane
  • Methanogenesis
  • Static chamber

Cite this

Levy, P. E., Burden, A., Cooper, M. D. A., Dinsmore, K. J., Drewer, J., Evans, C., ... Zieliński, P. (2012). Methane emissions from soils: synthesis and analysis of a large UK data set. Global Change Biology, 18(5), 1657-1669. https://doi.org/10.1111/j.1365-2486.2011.02616.x
Levy, Peter E. ; Burden, Annette ; Cooper, Mark D.A. ; Dinsmore, Kerry J. ; Drewer, Julia ; Evans, Chris ; Fowler, David ; Gaiawyn, Jenny ; Gray, Alan ; Jones, Stephanie K. ; Jones, Timothy ; Mcnamara, Niall P. ; Mills, Robert ; Ostle, Nick ; Sheppard, Lucy J. ; Skiba, Ute ; Sowerby, Alwyn ; Ward, Susan E. ; Zieliński, Piotr. / Methane emissions from soils: synthesis and analysis of a large UK data set. In: Global Change Biology. 2012 ; Vol. 18, No. 5. pp. 1657-1669.
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Levy, PE, Burden, A, Cooper, MDA, Dinsmore, KJ, Drewer, J, Evans, C, Fowler, D, Gaiawyn, J, Gray, A, Jones, SK, Jones, T, Mcnamara, NP, Mills, R, Ostle, N, Sheppard, LJ, Skiba, U, Sowerby, A, Ward, SE & Zieliński, P 2012, 'Methane emissions from soils: synthesis and analysis of a large UK data set', Global Change Biology, vol. 18, no. 5, pp. 1657-1669. https://doi.org/10.1111/j.1365-2486.2011.02616.x

Methane emissions from soils: synthesis and analysis of a large UK data set. / Levy, Peter E.; Burden, Annette; Cooper, Mark D.A.; Dinsmore, Kerry J.; Drewer, Julia; Evans, Chris; Fowler, David; Gaiawyn, Jenny; Gray, Alan; Jones, Stephanie K.; Jones, Timothy; Mcnamara, Niall P.; Mills, Robert; Ostle, Nick; Sheppard, Lucy J.; Skiba, Ute; Sowerby, Alwyn; Ward, Susan E.; Zieliński, Piotr.

In: Global Change Biology, Vol. 18, No. 5, 01.05.2012, p. 1657-1669.

Research output: Contribution to journalArticle

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T1 - Methane emissions from soils: synthesis and analysis of a large UK data set

AU - Levy, Peter E.

AU - Burden, Annette

AU - Cooper, Mark D.A.

AU - Dinsmore, Kerry J.

AU - Drewer, Julia

AU - Evans, Chris

AU - Fowler, David

AU - Gaiawyn, Jenny

AU - Gray, Alan

AU - Jones, Stephanie K.

AU - Jones, Timothy

AU - Mcnamara, Niall P.

AU - Mills, Robert

AU - Ostle, Nick

AU - Sheppard, Lucy J.

AU - Skiba, Ute

AU - Sowerby, Alwyn

AU - Ward, Susan E.

AU - Zieliński, Piotr

PY - 2012/5/1

Y1 - 2012/5/1

N2 - Nearly 5000 chamber measurements of CH 4 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 CH 4 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 CH 4 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 CH 4 emissions in the United Kingdom, an emission factor of +0.4 g CH 4 m -2 yr -1 per cm increase in water table height was derived from the data.

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KW - CH

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KW - Greenhouse gases

KW - Meta-analysis

KW - Methane

KW - Methanogenesis

KW - Static chamber

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Levy PE, Burden A, Cooper MDA, Dinsmore KJ, Drewer J, Evans C et al. Methane emissions from soils: synthesis and analysis of a large UK data set. Global Change Biology. 2012 May 1;18(5):1657-1669. https://doi.org/10.1111/j.1365-2486.2011.02616.x