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Regression models for the estimation of carbon exchange in boreal forests

Abstract

Based on the measurements of the carbon dioxide fluxes at a few sites of the global FLUXNET network, we developed linear regression models for the estimation of the carbon budget of boreal forests. The model estimates satisfactorily agree with the measurement data obtained in the boreal forests of Canada (Manitoba, Thompson) and Russia (Krasnoyarsk krai, Zotino). The correlation coefficient between the calculations and measurements for a coniferous forests exceeds 0.9, with the annually mean model error in the budget estimate, as compared to the experimental results, not exceeding 50 gC/m2/yr. Using satellite and ground-based meteorological data, we calculated the monthly average carbon budget of the coniferous forests of Krasnoyarsk krai in 2001. Based on the satellite classification of the vegetation cover, we plotted monthly and annually average maps of the carbon budget that reflect the spatiotemporal distribution of the CO2 uptake and emission rates. It is shown that the coniferous forests of Krasnoyarsk krai are mostly a carbon sink, uptaking as much as 300 gC/m2 throughout the growing season.

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Original Russian Text © A.N. Rublev, G.Yu. Grigoriev, T.A. Udalova, T.B. Zhuravleva, 2010, published in Optika Atmosfery i Okeana.

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Rublev, A.N., Grigoriev, G.Y., Udalova, T.A. et al. Regression models for the estimation of carbon exchange in boreal forests. Atmos Ocean Opt 23, 111–117 (2010). https://doi.org/10.1134/S1024856010020053

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Keywords

  • Photosynthetically Active Radiation
  • Coniferous Forest
  • Boreal Forest
  • Carbon Budget
  • Cloud Fraction