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Methane indicator values for peatlands: a comparison of species and functional groups

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Methane indicator values for peatlands : a comparison of species and functional groups. / Gray, Alan; Levy, Peter E; Cooper, Mark D A; Gaiawyn, Jenny; Leeson, Sarah R; Ward, Sue; Dinsmore, Kerry J; Drewer, Julia; Sheppard, Lucy J; Ostle, Nick; Evans, Chris D; Burden, Annette; Zielinski, Piotr.

In: Global Change Biology, Vol. 19, No. 4, 2013, p. 1141–1150.

Research output: Contribution to journalJournal article

Harvard

Gray, A, Levy, PE, Cooper, MDA, Gaiawyn, J, Leeson, SR, Ward, S, Dinsmore, KJ, Drewer, J, Sheppard, LJ, Ostle, N, Evans, CD, Burden, A & Zielinski, P 2013, 'Methane indicator values for peatlands: a comparison of species and functional groups', Global Change Biology, vol. 19, no. 4, pp. 1141–1150. https://doi.org/10.1111/gcb.12120

APA

Gray, A., Levy, P. E., Cooper, M. D. A., Gaiawyn, J., Leeson, S. R., Ward, S., Dinsmore, K. J., Drewer, J., Sheppard, L. J., Ostle, N., Evans, C. D., Burden, A., & Zielinski, P. (2013). Methane indicator values for peatlands: a comparison of species and functional groups. Global Change Biology, 19(4), 1141–1150. https://doi.org/10.1111/gcb.12120

Vancouver

Gray A, Levy PE, Cooper MDA, Gaiawyn J, Leeson SR, Ward S et al. Methane indicator values for peatlands: a comparison of species and functional groups. Global Change Biology. 2013;19(4):1141–1150. https://doi.org/10.1111/gcb.12120

Author

Gray, Alan ; Levy, Peter E ; Cooper, Mark D A ; Gaiawyn, Jenny ; Leeson, Sarah R ; Ward, Sue ; Dinsmore, Kerry J ; Drewer, Julia ; Sheppard, Lucy J ; Ostle, Nick ; Evans, Chris D ; Burden, Annette ; Zielinski, Piotr. / Methane indicator values for peatlands : a comparison of species and functional groups. In: Global Change Biology. 2013 ; Vol. 19, No. 4. pp. 1141–1150.

Bibtex

@article{b57f1258c7cb4888a307c3c8ae87a1c8,
title = "Methane indicator values for peatlands: a comparison of species and functional groups",
abstract = "Previous studies have shown a correspondence between the abundance of particular plant species and methane flux. Here, we apply multivariate analyses, and weighted averaging, to assess the suitability of vegetation composition as a predictor of methane flux. We developed a functional classification of the vegetation, in terms of a number of plant traits expected to influence methane production and transport, and compared this with a purely taxonomic classification at species level and higher. We applied weighted averaging and indirect and direct ordination approaches to six sites in the United Kingdom, and found good relationships between methane flux and vegetation composition (classified both taxonomically and functionally). Plant species and functional groups also showed meaningful responses to management and experimental treatments. In addition to the United Kingdom, we applied the functional group classification across different geographical regions (Canada and the Netherlands) to assess the generality of the method. Again, the relationship appeared good at the site level, suggesting some general applicability of the functional classification. The method seems to have the potential for incorporation into large-scale (national) greenhouse gas accounting programmes (in relation to peatland condition/management) using vegetation mapping schemes. The results presented here strongly suggest that robust predictive models can be derived using plant species data (for use in national-scale studies). For trans-national-scale studies, where the taxonomic assemblage of vegetation differs widely between study sites, a functional classification of plant species data provides an appropriate basis for predictive models of methane flux.",
keywords = "carbon cycle, CH4, greenhouse gases, vegetation, weighted averaging",
author = "Alan Gray and Levy, {Peter E} and Cooper, {Mark D A} and Jenny Gaiawyn and Leeson, {Sarah R} and Sue Ward and Dinsmore, {Kerry J} and Julia Drewer and Sheppard, {Lucy J} and Nick Ostle and Evans, {Chris D} and Annette Burden and Piotr Zielinski",
year = "2013",
doi = "10.1111/gcb.12120",
language = "English",
volume = "19",
pages = "1141–1150",
journal = "Global Change Biology",
issn = "1354-1013",
publisher = "Blackwell Publishing Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Methane indicator values for peatlands

T2 - a comparison of species and functional groups

AU - Gray, Alan

AU - Levy, Peter E

AU - Cooper, Mark D A

AU - Gaiawyn, Jenny

AU - Leeson, Sarah R

AU - Ward, Sue

AU - Dinsmore, Kerry J

AU - Drewer, Julia

AU - Sheppard, Lucy J

AU - Ostle, Nick

AU - Evans, Chris D

AU - Burden, Annette

AU - Zielinski, Piotr

PY - 2013

Y1 - 2013

N2 - Previous studies have shown a correspondence between the abundance of particular plant species and methane flux. Here, we apply multivariate analyses, and weighted averaging, to assess the suitability of vegetation composition as a predictor of methane flux. We developed a functional classification of the vegetation, in terms of a number of plant traits expected to influence methane production and transport, and compared this with a purely taxonomic classification at species level and higher. We applied weighted averaging and indirect and direct ordination approaches to six sites in the United Kingdom, and found good relationships between methane flux and vegetation composition (classified both taxonomically and functionally). Plant species and functional groups also showed meaningful responses to management and experimental treatments. In addition to the United Kingdom, we applied the functional group classification across different geographical regions (Canada and the Netherlands) to assess the generality of the method. Again, the relationship appeared good at the site level, suggesting some general applicability of the functional classification. The method seems to have the potential for incorporation into large-scale (national) greenhouse gas accounting programmes (in relation to peatland condition/management) using vegetation mapping schemes. The results presented here strongly suggest that robust predictive models can be derived using plant species data (for use in national-scale studies). For trans-national-scale studies, where the taxonomic assemblage of vegetation differs widely between study sites, a functional classification of plant species data provides an appropriate basis for predictive models of methane flux.

AB - Previous studies have shown a correspondence between the abundance of particular plant species and methane flux. Here, we apply multivariate analyses, and weighted averaging, to assess the suitability of vegetation composition as a predictor of methane flux. We developed a functional classification of the vegetation, in terms of a number of plant traits expected to influence methane production and transport, and compared this with a purely taxonomic classification at species level and higher. We applied weighted averaging and indirect and direct ordination approaches to six sites in the United Kingdom, and found good relationships between methane flux and vegetation composition (classified both taxonomically and functionally). Plant species and functional groups also showed meaningful responses to management and experimental treatments. In addition to the United Kingdom, we applied the functional group classification across different geographical regions (Canada and the Netherlands) to assess the generality of the method. Again, the relationship appeared good at the site level, suggesting some general applicability of the functional classification. The method seems to have the potential for incorporation into large-scale (national) greenhouse gas accounting programmes (in relation to peatland condition/management) using vegetation mapping schemes. The results presented here strongly suggest that robust predictive models can be derived using plant species data (for use in national-scale studies). For trans-national-scale studies, where the taxonomic assemblage of vegetation differs widely between study sites, a functional classification of plant species data provides an appropriate basis for predictive models of methane flux.

KW - carbon cycle

KW - CH4

KW - greenhouse gases

KW - vegetation

KW - weighted averaging

U2 - 10.1111/gcb.12120

DO - 10.1111/gcb.12120

M3 - Journal article

VL - 19

SP - 1141

EP - 1150

JO - Global Change Biology

JF - Global Change Biology

SN - 1354-1013

IS - 4

ER -