DOI: 10.1111/gcb.12120
论文题名: Methane indicator values for peatlands: A comparison of species and functional groups
作者: Gray A. ; Levy P.E. ; Cooper M.D.A. ; Jones T. ; Gaiawyn J. ; Leeson S.R. ; Ward S.E. ; Dinsmore K.J. ; Drewer J. ; Sheppard L.J. ; Ostle N.J. ; Evans C.D. ; Burden A. ; Zieliński P.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期: 4 起始页码: 1141
结束页码: 1150
语种: 英语
英文关键词: Carbon cycle
; CH4
; Greenhouse gases
; Vegetation
; Weighted averaging
Scopus关键词: methane
; abundance
; carbon cycle
; community composition
; comparative study
; ecosystem response
; functional group
; greenhouse gas
; methane
; multivariate analysis
; peatland
; plant
; taxonomy
; vegetation dynamics
; vegetation mapping
; article
; comparative study
; ecosystem
; greenhouse effect
; species difference
; Sphagnopsida
; Ecosystem
; Greenhouse Effect
; Methane
; Species Specificity
; Sphagnopsida
; Canada
; Netherlands
; United Kingdom
英文摘要: 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. © 2012 Blackwell Publishing Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62480
Appears in Collections: 影响、适应和脆弱性
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作者单位: Centre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB, United Kingdom; Centre for Ecology and Hydrology, Environment Centre Wales, Bangor, Gwynedd, LL57 2UW, United Kingdom; Wolfson Carbon Capture Laboratory, School of Biological Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, United Kingdom; Centre for Ecology and Hydrology, Lancaster Environment Centre, Lancaster, LA1 4AP, United Kingdom; Soil and Ecosystem Ecology Laboratory, Institute of Environmental and Natural Sciences, Lancaster University, Lancaster, LA1 4YQ, United Kingdom; Institute of Biology, University of Bialystok, Świerkowa 20B, Bialystok, 15-950, Poland
Recommended Citation:
Gray A.,Levy P.E.,Cooper M.D.A.,et al. Methane indicator values for peatlands: A comparison of species and functional groups[J]. Global Change Biology,2013-01-01,19(4)