An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods
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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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | balance, boreal ecosystems, climate-change, co2 sources, forest ecosystems, global vegetation models, land-use change, net ecosystem exchange, permafrost carbon, siberia, |
Online Access: | https://research.wur.nl/en/publications/an-estimate-of-the-terrestrial-carbon-budget-of-russia-using-inve |
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dig-wur-nl-wurpubs-4328742024-12-04 Dolman, A.J. Shvidenko, A. Schepaschenko, D. Ciais, P. Tchebakova, N. Chen, T. van der Molen, M.K. Belelli Marchesini, L. Maximov, T.C. Maksyutov, S. Schulze, E.D. Article/Letter to editor Biogeosciences 9 (2012) ISSN: 1726-4170 An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods 2012 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. en application/pdf https://research.wur.nl/en/publications/an-estimate-of-the-terrestrial-carbon-budget-of-russia-using-inve 10.5194/bg-9-5323-2012 https://edepot.wur.nl/244208 balance boreal ecosystems climate-change co2 sources forest ecosystems global vegetation models land-use change net ecosystem exchange permafrost carbon siberia Wageningen University & Research |
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balance boreal ecosystems climate-change co2 sources forest ecosystems global vegetation models land-use change net ecosystem exchange permafrost carbon siberia balance boreal ecosystems climate-change co2 sources forest ecosystems global vegetation models land-use change net ecosystem exchange permafrost carbon siberia |
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balance boreal ecosystems climate-change co2 sources forest ecosystems global vegetation models land-use change net ecosystem exchange permafrost carbon siberia balance boreal ecosystems climate-change co2 sources forest ecosystems global vegetation models land-use change net ecosystem exchange permafrost carbon siberia Dolman, A.J. Shvidenko, A. Schepaschenko, D. Ciais, P. Tchebakova, N. Chen, T. van der Molen, M.K. Belelli Marchesini, L. Maximov, T.C. Maksyutov, S. Schulze, E.D. An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods |
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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. |
format |
Article/Letter to editor |
topic_facet |
balance boreal ecosystems climate-change co2 sources forest ecosystems global vegetation models land-use change net ecosystem exchange permafrost carbon siberia |
author |
Dolman, A.J. Shvidenko, A. Schepaschenko, D. Ciais, P. Tchebakova, N. Chen, T. van der Molen, M.K. Belelli Marchesini, L. Maximov, T.C. Maksyutov, S. Schulze, E.D. |
author_facet |
Dolman, A.J. Shvidenko, A. Schepaschenko, D. Ciais, P. Tchebakova, N. Chen, T. van der Molen, M.K. Belelli Marchesini, L. Maximov, T.C. Maksyutov, S. Schulze, E.D. |
author_sort |
Dolman, A.J. |
title |
An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods |
title_short |
An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods |
title_full |
An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods |
title_fullStr |
An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods |
title_full_unstemmed |
An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods |
title_sort |
estimate of the terrestrial carbon budget of russia using inventory based, eddy covariance and inversion methods |
url |
https://research.wur.nl/en/publications/an-estimate-of-the-terrestrial-carbon-budget-of-russia-using-inve |
work_keys_str_mv |
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