Assessment of Soil Respiration with the Raich−Hashimoto Model: Parameterisation and Prediction

• Main Authors: O. E. Sukhoveeva, D. V. Karelin, О. Э. Суховеева, Д. В. Карелин
• Other Authors: Parametrization of the model was supported by the Russian Science Foundation, project no. 20-76-00023, field measurements were carried out under the state-ordered research theme of the Institute of Geography RAS no. FMGE-2019-0006 at the Kursk Biosphere Station, and theme no. FMGE-2019-0007 at the Valdai polygon., Параметризация модели выполнена за счет средств гранта РНФ № 20-76-00023, измерения на Курской биосферной станции проводились в рамках темы госзадания ИГ РАН № FMGE-2019-0006, на Валдайском полигоне “лог Таежный” - темы № FMGE-2019-0007.
• Format: Article in Journal/Newspaper
• Language: Russian
• Published: Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya 2022
• Subjects: эмиссия CO 2 из почвы; taiga; climate change; inverse modelling; typical chernozems; forest steppe; soil CO 2 efflux; Russia; изменение климата; обратная задача моделирования; типичные черноземы
• Online Access: https://izvestia.igras.ru/jour/article/view/1581; https://doi.org/10.31857/S2587556622030153

Respiration or emission of CO2 from soil is the most powerful outgoing f lux of carbon in terrestrial ecosystems, which makes its accurate assessment and prediction one of the most important biospheric goals. Among the multitude of regression models evaluating soil respiration, we chose the accessible and widespread T&P (Raich-Hashimoto) model, which was applied to describe the available long-term series of observations of CO2 emissions in ecosystems of the southern taiga and forest-steppe of the European part of Russia. The objects of the study were different local biotopes: meadow steppe, young fallow, and ash forest on typical chernozems of Kursk oblast, spruce forest, and its decay areas on sod-podzols, and peat bog soils in Novgorod oblast. According to the results of parameterization, the rates of soil respiration at 0оC were 1.06 to 1.54 times higher than the initial values of the Reich-Hashimoto model, the power coefficients of temperature function were 1.04 to 1.41 times greater, while the coefficients of dependence on precipitation were changed in 0.87 to 0.99 times for both geographic subzones. The corrected versions of the model showed good convergence with the results of field measurements in estimates of annual respiration rates. According to the predictions, under the current rate of increase of air temperature and the current precipitation, CO2 emissions from sod-podzols in Novgorod oblast will increase by 1.4–2.9% over 10 years, while respiration of typical chernozems in Kursk oblast will increase by 0.3–3.8%. The model shows good plasticity with respect to zonal soil types and specific ecosystems, and it is suitable for long-term forecast and retrospective analysis of annual CO2 soil efflux. Дыхание, или эмиссия СО2 из почвы, является наиболее мощным исходящим потоком углерода в наземных экосистемах, что выводит его точную оценку и прогноз в разряд важнейших биосферных задач. Среди множества регрессионных моделей, оценивающих дыхание почвы, нами была выбрана относительно простая и широко ...