Estimating temperature sensitivity of soil carbon decomposition by assimilating a turnover model and long-term field data

DOI

Bibliographic Information

Other Title
  • 土壌炭素動態モデルと長期観測データのデータ同化による土壌炭素分解率の温度依存性の推定

Abstract

Change in temperature sensitivity of SOC decomposition with change in soil qualities is one of the most important issues to be evaluated for projection of future CO2 emissions from soils. In this study, we inversely estimated the temperature sensitivity of SOC decomposition rate by applying a hybrid of the Metropolis-Hasting algorithm and the particle filter method to the extended Rothamsted carbon model (RothC), together with long-term (9 years) experimental data on SOC obtained at five sites in Japanese upland soils. We found no significant differences in temperature sensitivity among soils with different qualities. We also confirmed that there was a positive correlation between the relative temperature sensitivity of the humus compartment and future total CO2 emissions. The RothC model with default parameterization tended to overestimate future total CO2 emissions relative to the calibrated model.

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Details 詳細情報について

  • CRID
    1390282680570194688
  • NII Article ID
    130005020761
  • DOI
    10.11345/japannctam.61.0.49.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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