Spatial variation in plant community functions regulates carbon gas dynamics in a boreal fen ecosystem

Spatial variation in plant community functions regulates carbon gas dynamics in a boreal fen ecosystem
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DOI:
10.1111/j.1600-0889.2007.00302.x
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发表时间:
2007-01
期刊:
Tellus B: Chemical and Physical Meteorology
影响因子:
--
通讯作者:
T. Riutta;Jukka Laine;M. Aurela;J. Rinne;T. Vesala;T. Laurila;S. Haapanala;M. Pihlatie;E. Tuittila
T. Riutta;Jukka Laine;M. Aurela;J. Rinne;T. Vesala;T. Laurila;S. Haapanala;M. Pihlatie;E. Tuittila
中科院分区:
其他
文献类型:
--
作者:
T. Riutta;Jukka Laine;M. Aurela;J. Rinne;T. Vesala;T. Laurila;S. Haapanala;M. Pihlatie;E. Tuittila

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这项研究的目的是评估在微气象意义上均一的沼泽中,植物群落尺度上的碳气体交换的变异性如何影响生态系统尺度上的碳气体交换估计,即具有均匀的地表地形和植物覆盖。用涡动协方差(EC)技术在植物群落尺度和生态系统尺度上测量了CO2和CH4的交换。通过按社区面积对社区特有的估计进行加权,将社区规模的测量提升到生态系统规模。在生长季,所有群落都是净CO2汇和CH4源,但群落之间的净生态系统生产量(NEP)和CH4排放量分别为21~190g CO2-Cm-2和4.3~13g CH4-Cm-2。NEP和CH4的季节估计分别为82和7.9g CH4-Cm-2,与EC的测量结果一致。由于这些群落在碳气体动力学上存在显著差异,它们的比例决定了生态系统规模的估计。成功的推广需要对社区的比例和叶面积有详细的了解。
The aim of this study was to asses how the variability in carbon gas exchange at the plant community scale affected the C gas exchange estimates at the ecosystem scale in a fen that was homogeneous in a micrometeorological sense, that is, had an even surface topography and plant cover. CO2 and CH4 exchange was measured at the plant community scale with chambers and at the ecosystem scale with the eddy covariance (EC) technique. Community-scale measurements were upscaled to the ecosystem scale by weighting the community-specific estimates by the area of the community. All communities were net CO2 sinks and CH4 sources during the growing season, but net ecosystem production (NEP) and CH4 emissions ranged from 21 to 190 g CO2-C m-2 and from 4.3 to 13 g CH4-C m-2, respectively, between the communities. The seasonal estimates of NEP and CH4, upscaled to the 200 m radius from the EC tower, were 82 and 7.9 g CH4-C m-2, which agreed well with the EC measurements. As the communities differed markedly in their C gas dynamics, their proportions controlled the ecosystem scale estimates. Successful upscaling required detailed knowledge on the proportions and leaf area of the communities.