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Titel |
The use of forest stand age information in an atmospheric CO2 inversion applied to North America |
VerfasserIn |
F. Deng, J. M. Chen, Y. Pan, W. Peters, R. Birdsey, K. McCullough, J. Xiao |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1726-4170
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Digitales Dokument |
URL |
Erschienen |
In: Biogeosciences ; 10, no. 8 ; Nr. 10, no. 8 (2013-08-08), S.5335-5348 |
Datensatznummer |
250085288
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Publikation (Nr.) |
copernicus.org/bg-10-5335-2013.pdf |
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Zusammenfassung |
Atmospheric inversions have become an important tool in quantifying carbon
dioxide (CO2) sinks and sources at a variety of spatiotemporal scales,
but associated large uncertainties restrain the inversion research community
from reaching agreement on many important subjects. We enhanced an
atmospheric inversion of the CO2 flux for North America by introducing
spatially explicit information on forest stand age for US and Canada as an
additional constraint, since forest carbon dynamics are closely related to
time since disturbance. To use stand age information in the inversion, we
converted stand age into an age factor, and included the covariances between
subcontinental regions in the inversion based on the similarity of the age
factors. Our inversion results show that, considering age factors, regions
with recently disturbed or old forests are often nudged towards carbon
sources, while regions with middle-aged productive forests are shifted
towards sinks. This conforms to stand age effects observed in flux networks.
At the subcontinental level, our inverted carbon fluxes agree well with
continuous estimates of net ecosystem carbon exchange (NEE) upscaled from
eddy covariance flux data based on MODIS data. Inverted fluxes with the
age constraint exhibit stronger correlation to these upscaled NEE estimates
than those inverted without the age constraint. While the carbon flux at the
continental and subcontinental scales is predominantly determined by
atmospheric CO2 observations, the age constraint is shown to have
potential to improve the inversion of the carbon flux distribution among
subcontinental regions, especially for regions lacking atmospheric CO2
observations. |
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