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| Titel |
An estimate of the terrestrial carbon budget of Russia using inventory-based, eddy covariance and inversion methods |
| VerfasserIn |
A. J. Dolman, A. Shvidenko, D. Schepaschenko, P. Ciais, N. Tchebakova, T. Chen, M. K. Molen, L. Belelli Marchesini, T. C. Maximov, S. Maksyutov, E.-D. Schulze |
| 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 ; 9, no. 12 ; Nr. 9, no. 12 (2012-12-20), S.5323-5340 |
| Datensatznummer |
250007473
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| Publikation (Nr.) |
 copernicus.org/bg-9-5323-2012.pdf |
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| Zusammenfassung |
We determine the net land to atmosphere flux of carbon in Russia, including
Ukraine, Belarus and Kazakhstan, using inventory-based, eddy covariance, and
inversion methods. Our high boundary estimate is −342 Tg C yr−1 from
the eddy covariance method, and this is close to the upper bounds of the
inventory-based Land Ecosystem Assessment and inverse models estimates. A
lower boundary estimate is provided at −1350 Tg C yr−1 from
the inversion models. The average of the three methods is −613.5 Tg C yr−1.
The methane emission is estimated separately at 41.4 Tg C yr−1.
These three methods agree well within their respective error bounds. There
is thus good consistency between bottom-up and top-down methods. The forests
of Russia primarily cause the net atmosphere to land flux (−692 Tg C yr−1
from the LEA. It remains however remarkable that the three
methods provide such close estimates (−615, −662, −554 Tg C yr–1)
for net biome production
(NBP), given the inherent uncertainties in all of the approaches. The lack of
recent forest inventories, the few eddy covariance sites and associated
uncertainty with upscaling and undersampling of concentrations for the
inversions are among the prime causes of the uncertainty. The dynamic global
vegetation models (DGVMs) suggest
a much lower uptake at −91 Tg C yr−1, and we argue that this is caused by
a high estimate of heterotrophic respiration compared to other methods. |
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