An estimate of the terrestrial carbon budget of Russia using inventory-based, eddy covariance and inversion methods

We determine the carbon balance of Russia, including Ukraine, Belarus and Kazakhstan using inventory based, eddy covariance, Dynamic Global Vegetation Models (DGVM), and inversion methods. Our current best estimate of the net biosphere to atmosphere flux is -0.66 Pg C yr-1. This sink is primarily ca...

Full description

Bibliographic Details
Published in:Biogeosciences
Main Authors: 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.
Format: Article in Journal/Newspaper
Language:English
Published: European Geosciences Union (EGU) 2012
Subjects:
Online Access:https://pure.iiasa.ac.at/id/eprint/9940/
https://pure.iiasa.ac.at/id/eprint/9940/1/bg-9-5323-2012.pdf
https://doi.org/10.5194/bg-9-5323-2012
id ftiiasalaxenburg:oai:pure.iiasa.ac.at:9940
record_format openpolar
spelling ftiiasalaxenburg:oai:pure.iiasa.ac.at:9940 2023-05-15T15:11:55+02:00 An estimate of the terrestrial carbon budget of Russia using inventory-based, eddy covariance and inversion methods 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. 2012-12 text https://pure.iiasa.ac.at/id/eprint/9940/ https://pure.iiasa.ac.at/id/eprint/9940/1/bg-9-5323-2012.pdf https://doi.org/10.5194/bg-9-5323-2012 en eng European Geosciences Union (EGU) Copernicus https://pure.iiasa.ac.at/id/eprint/9940/1/bg-9-5323-2012.pdf Dolman, A.J., Shvidenko, A. <https://pure.iiasa.ac.at/view/iiasa/281.html>, Schepaschenko, D. <https://pure.iiasa.ac.at/view/iiasa/279.html> orcid:0000-0002-7814-4990 , Ciais, P., Tchebakova, N. <https://pure.iiasa.ac.at/view/iiasa/2446.html>, Chen, T., van der Molen, M.K., Belelli Marchesini, L., et al. (2012). An estimate of the terrestrial carbon budget of Russia using inventory-based, eddy covariance and inversion methods. Biogeosciences 9 (12) 5323-5340. 10.5194/bg-9-5323-2012 <https://doi.org/10.5194/bg-9-5323-2012>. doi:10.5194/bg-9-5323-2012 cc_by info:eu-repo/semantics/openAccess Article PeerReviewed info:eu-repo/semantics/article 2012 ftiiasalaxenburg https://doi.org/10.5194/bg-9-5323-2012 2023-04-07T14:49:27Z We determine the carbon balance of Russia, including Ukraine, Belarus and Kazakhstan using inventory based, eddy covariance, Dynamic Global Vegetation Models (DGVM), and inversion methods. Our current best estimate of the net biosphere to atmosphere flux is -0.66 Pg C yr-1. This sink is primarily caused by forests that using two independent methods are estimated to take up -0.69 Pg C yr-1. Using inverse models yields an average net biosphere to atmosphere flux of the same value with a interannual variability of 35%. The total estimated biosphere to atmosphere flux from eddy covariance observations over a limited number of sites amounts to -1 Pg C yr-1. Fires emit 137 to 121 Tg C yr-1 using two different methods. The interannual variability of fire emissions is large, up to a factor 0.5 to 3. Smaller fluxes to the ocean and inland lakes, trade are also accounted for. Our best estimate for the Russian net biosphere to atmosphere flux then amounts to -659 Tg C yr-1 as the average of the inverse models of -653 Tg C yr-1, bottom up -563 Tg C yr-1 and the independent landscape approach of -761 Tg C yr-1. These three methods agree well within their error bounds, so there is good consistency between bottom up and top down methods. The best estimate of the net land to atmosphere flux, including the fossil fuel emissions is -145 to -73 Tg C yr-1. Estimated methane emissions vary considerably with one inventory-based estimate providing a net land to atmosphere flux of 12.6 Tg C-CH4yr-1 and an independent model estimate for the boreal and Arctic zones of Eurasia of 27.6 Tg C-CH4yr-1. Article in Journal/Newspaper Arctic IIASA PURE (International Institute of Applied Systems Analysis: PUblications REpository) Arctic Biogeosciences 9 12 5323 5340
institution Open Polar
collection IIASA PURE (International Institute of Applied Systems Analysis: PUblications REpository)
op_collection_id ftiiasalaxenburg
language English
description We determine the carbon balance of Russia, including Ukraine, Belarus and Kazakhstan using inventory based, eddy covariance, Dynamic Global Vegetation Models (DGVM), and inversion methods. Our current best estimate of the net biosphere to atmosphere flux is -0.66 Pg C yr-1. This sink is primarily caused by forests that using two independent methods are estimated to take up -0.69 Pg C yr-1. Using inverse models yields an average net biosphere to atmosphere flux of the same value with a interannual variability of 35%. The total estimated biosphere to atmosphere flux from eddy covariance observations over a limited number of sites amounts to -1 Pg C yr-1. Fires emit 137 to 121 Tg C yr-1 using two different methods. The interannual variability of fire emissions is large, up to a factor 0.5 to 3. Smaller fluxes to the ocean and inland lakes, trade are also accounted for. Our best estimate for the Russian net biosphere to atmosphere flux then amounts to -659 Tg C yr-1 as the average of the inverse models of -653 Tg C yr-1, bottom up -563 Tg C yr-1 and the independent landscape approach of -761 Tg C yr-1. These three methods agree well within their error bounds, so there is good consistency between bottom up and top down methods. The best estimate of the net land to atmosphere flux, including the fossil fuel emissions is -145 to -73 Tg C yr-1. Estimated methane emissions vary considerably with one inventory-based estimate providing a net land to atmosphere flux of 12.6 Tg C-CH4yr-1 and an independent model estimate for the boreal and Arctic zones of Eurasia of 27.6 Tg C-CH4yr-1.
format Article in Journal/Newspaper
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.
spellingShingle 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
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
publisher European Geosciences Union (EGU)
publishDate 2012
url https://pure.iiasa.ac.at/id/eprint/9940/
https://pure.iiasa.ac.at/id/eprint/9940/1/bg-9-5323-2012.pdf
https://doi.org/10.5194/bg-9-5323-2012
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://pure.iiasa.ac.at/id/eprint/9940/1/bg-9-5323-2012.pdf
Dolman, A.J., Shvidenko, A. <https://pure.iiasa.ac.at/view/iiasa/281.html>, Schepaschenko, D. <https://pure.iiasa.ac.at/view/iiasa/279.html> orcid:0000-0002-7814-4990 , Ciais, P., Tchebakova, N. <https://pure.iiasa.ac.at/view/iiasa/2446.html>, Chen, T., van der Molen, M.K., Belelli Marchesini, L., et al. (2012). An estimate of the terrestrial carbon budget of Russia using inventory-based, eddy covariance and inversion methods. Biogeosciences 9 (12) 5323-5340. 10.5194/bg-9-5323-2012 <https://doi.org/10.5194/bg-9-5323-2012>.
doi:10.5194/bg-9-5323-2012
op_rights cc_by
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/bg-9-5323-2012
container_title Biogeosciences
container_volume 9
container_issue 12
container_start_page 5323
op_container_end_page 5340
_version_ 1766342694292946944