CCPortal
DOI10.1029/2017GB005747
Temporal Variation of Ecosystem Scale Methane Emission From a Boreal Fen in Relation to Temperature, Water Table Position, and Carbon Dioxide Fluxes
Rinne J.; Tuittila E.-S.; Peltola O.; Li X.; Raivonen M.; Alekseychik P.; Haapanala S.; Pihlatie M.; Aurela M.; Mammarella I.; Vesala T.
发表日期2018
ISSN0886-6236
EISSN1944-9224
起始页码1087
结束页码1106
卷号32期号:7
英文摘要We have analyzed decade-long methane flux data set from a boreal fen, Siikaneva, together with data on environmental parameters and carbon dioxide exchange. The methane flux showed seasonal cycle but no systematic diel cycle. The highest fluxes were observed in July–August with average value of 73 nmol m−2 s−1. Wintertime fluxes were small but positive, with January–March average of 6.7 nmol m−2 s−1. Daily average methane emission correlated best with peat temperatures at 20–35 cm depths. The second highest correlation was with gross primary production (GPP). The best correspondence between emission algorithm and measured fluxes was found for a variable-slope generalized linear model (r2 = 0.89) with peat temperature at 35 cm depth and GPP as explanatory variables, slopes varying between years. The homogeneity of slope approach indicated that seasonal variation explained 79% of the sum of squares variation of daily average methane emission, the interannual variation in explanatory factors 7.0%, functional change 5.3%, and random variation 9.1%. Significant correlation between interannual variability of growing season methane emission and that of GPP indicates that on interannual time scales GPP controls methane emission variability, crucially for development of process-based methane emission models. Annual methane emission ranged from 6.0 to 14 gC m−2 and was 2.7 ± 0.4% of annual GPP. Over 10-year period methane emission was 18% of net ecosystem exchange as carbon. The weak relation of methane emission to water table position indicates that space-to-time analogy, used to extrapolate spatial chamber data in time, may not be applicable in seasonal time scales. ©2018. The Authors.
英文关键词carbon dioxide; flux; greenhouse gas; methane; peatland; wetland
语种英语
scopus关键词annual variation; carbon dioxide; carbon emission; carbon flux; functional change; growing season; homogeneity; methane; net ecosystem exchange; peatland; primary production; seasonal variation; temporal variation; water table; wetland
来源期刊Global Biogeochemical Cycles
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/129815
作者单位Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden; School of Forest Sciences, University of Eastern Finland, Joensuu, Finland; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland; Environmental Soil Science, Department of Agricultural Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland; Finnish Meteorological Institute, Helsinki, Finland; Institute for Atmospheric and Earth System Research/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland
推荐引用方式
GB/T 7714
Rinne J.,Tuittila E.-S.,Peltola O.,et al. Temporal Variation of Ecosystem Scale Methane Emission From a Boreal Fen in Relation to Temperature, Water Table Position, and Carbon Dioxide Fluxes[J],2018,32(7).
APA Rinne J..,Tuittila E.-S..,Peltola O..,Li X..,Raivonen M..,...&Vesala T..(2018).Temporal Variation of Ecosystem Scale Methane Emission From a Boreal Fen in Relation to Temperature, Water Table Position, and Carbon Dioxide Fluxes.Global Biogeochemical Cycles,32(7).
MLA Rinne J.,et al."Temporal Variation of Ecosystem Scale Methane Emission From a Boreal Fen in Relation to Temperature, Water Table Position, and Carbon Dioxide Fluxes".Global Biogeochemical Cycles 32.7(2018).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Rinne J.]的文章
[Tuittila E.-S.]的文章
[Peltola O.]的文章
百度学术
百度学术中相似的文章
[Rinne J.]的文章
[Tuittila E.-S.]的文章
[Peltola O.]的文章
必应学术
必应学术中相似的文章
[Rinne J.]的文章
[Tuittila E.-S.]的文章
[Peltola O.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。