RUSSIAN JOURNAL OF FOREST SCIENCE, 2019, No. 5, P. 435-448

NATURAL AND MODEL ASSESSMENTS OF RESPIRATION OF FOREST SOD-PODZOLIC SOIL IN THE PRIOKSKO-TERRASNY BIOSPHERE RESERVE
I. N. Kurganova¹, V. O. Lopes de Gerenyu¹, T. N. Myakshina¹, D. V. Sapronov¹, I. V. Romashkin², V. A. Zhmurin¹, V. N. Kudeyarov^1
1Institute of Physicochemical and Biological Problems of Soil Sciences, Russian Academy of Sciences
Institutskaya st. 2, Pushchino, Moscow Oblast, 142290, Russia
E-mail: ikurg@mail.ru
²Forest Research Institute, Karelian Research Centre of the Russian Academy of Sciences
Pushkinskaya st. 11, Petrozavodsk, 185910, Russia

Received 10 February 2019
Modeling of carbon cycle in forests is conventionally reduced to modeling of the main components, including emissions (respiration of soils and debris) and production (deposition of carbon in plants and soils). In this study we examined applicability of various versions of T&P-model to estimate of monthly, seasonal and annual fluxes of CO₂ from sod-podzolic soil in mixed forest of Prioksko-Terrasny Nature Reserve, Moscow Oblast. The model was parameterized, verified and the accuracy was tested using the database of 20-year monitoring of CO₂ emissions from soils and independent weather variables, including mean monthly air temperature, and monthly precipitation. The numeric experiments showed that all versions of the T&P model (both initial and parameterized by a training sets at different temporal intervals) satisfactorily describe the interannual dynamics of mean monthly respiration of sod-podzolic soil under forest cover, SRm. Parameterization of T&P model with experimental data as a training set did not improved the quality of modeling in any of the test intervals. When 20 years means weather data were used for estimation of SRmod-mean, seasonal and annual soil fluxes of CO₂ (SeSRmod-mean), the experimental values of SeSRexp were less in most cases. SeSRmod-mean for annual, summertime and wintertime soil CO₂ fluxes were on average 4.5-6.7 % higher than SeSRexp, and 3% for the warm period. The largest discrepancy was found during spring, with ~22% excess of modeled over measured data. Thus, the 20 years mean weather data approved applicability of an ensemble of versions of T&P-model for estimation of seasonal and annual fluxes of CO₂ from soil in humid continental climate.
Keywords: soil CO₂ emission, empiric modeling, weather parameters, forest ecosystems, humid continental climate, parameterization, verification, accuracy of modeling.
Acknowledgements: Studies were held in the framework of the State Assignment (project no. АААА-А18-118013190177-9) with the financial support of the Program of the Presidium of the Russian Academy of Sciences no. 51 (project no. AAAA-A18-118013190179-3) and Russian Foundation for Basic Research (project no. 19-04-01282a).
DOI: 10.1134/S002411481905005X

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