Soil temperature, organic-carbon storage, and water-holding ability should be accounted for the empirical soil-respiration model selection in two forest ecosystems

Kivalov, S.N.; Lopes de_Gerenyu, V.O.; Khoroshaev, D.A.; Myakshina, T.N.; Sapronov, D.V.; Ivashchenko, K.V.; Kurganova, I.N.

Авторы: Kivalov S.N., Lopes de_Gerenyu V.O., Khoroshaev D.A., Myakshina T.N., Sapronov D.V., Ivashchenko K.V., Kurganova I.N.
Журнал: FORESTS
Том: 14
Год издания: 2023
Издательство: MDPI Publishing
Местоположение издательства: Basel, Switzerland, Switzerland
Первая страница: 1568
Последняя страница: 10
DOI: 10.3390/f14081568
Аннотация: Soil respiration (SR) is a main component of the carbon cycle in terrestrial ecosystems,and being strongly affected by changes in the environment, it is a good indicator of the ecosystem’sability to cope with climate change. This research aims to find better empirical SR models using25-year-long SR monitoring in two forest ecosystems formed on sandy Entic Podzol and loamy HaplicLuvisol. The following parameters were considered in the examined models: the mean monthly soilor air temperatures (Tsoil or Tair), the amount of precipitation during the current (P) and the previous(PP) months, and the storage of soil organic carbon (SOC). The weighted non-linear regression wasused for model parameter estimations for the normal, wet, and dry years. To improve the modelresolutions by magnitude, we controlled the slope and intercept of the linear model comparisonbetween the measured and modeled data through the change in R0—SR at zero soil temperature.The mean bias error (MBE), root-mean-square error (RMSE), and determination coefficient (R2) wereused for the estimation of the goodness of model performances. For the sandy Entic Podzol, it ismore appropriate to use the models dependent on SOC (TPPC). While for the loamy Haplic Luvisol,the Raich–Hashimoto model (TPPrh) with the quadratic Tsoil or Tair dependency shows the betterresults. An application of Tsoil for the model parameterization gives better results than Tair: the TPPC model was able to adequately describe the cold-period SR (Tsoil 2 C); the TPPrh model was able to avoid overestimations of the warm-period SR (Tsoil > 2 C). The TPPC model parameterized withTsoil can be used for the quality control of the cold-period SR measurements. Therefore, we showedthe importance of accounting for SOC and the water-holding ability when the optimal SR model ischosen for the analysis.
Добавил в систему: Курганова Ирина Николаевна

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Soil temperature, organic-carbon storage, and water-holding ability should be accounted for the empirical soil-respiration model selection in two forest ecosystemsстатья

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