Inversely estimating temperature sensitivity of soil carbon decomposition by assimilating a turnover model and long-term field data |
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| Institution: | 1. National Institute for Agro-Environmental Sciences, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604, Japan;2. College of Bioresources Sciences, Nihon University, 1866 Kameino, Fujisawa 252-0880, Japan;1. Department of Physical Geography, Stockholm University, Svante Arrhenius väg 8C, Frescati, SE-106 91 Stockholm, Sweden;2. Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden;3. Department of Bioclimatology, Georg-August-Universität, Göttingen, Niedersachsen, Germany;4. Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden;5. Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, CA, USA;1. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China;2. Graduate University of the Chinese Academy of Sciences, Beijing 100039, China;3. Guizhou Technology & Information Center of Land and Resources, Guiyang 550000, China;1. School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia;2. Australian Cotton Research Institute, NSW Department of Primary Industry, Narrabri, NSW 2390, Australia;3. Institute of Biological and Environmental Sciences, University of Aberdeen, St. Machar Drive, Aberdeen AB24 3UU, UK;4. NSW Office of Environment and Heritage, PO Box 221, Armidale, NSW 2351, Australia;5. The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, Scotland UK;6. Centre for Urban Greenery and Ecology, National Parks Board, Singapore 259569, Singapore |
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| Abstract: | Change in temperature sensitivity of soil organic carbon (SOC) decomposition with change in soil qualities (i.e. decomposability or lability) is one of the most important issues to be evaluated for projection of future CO2 emissions from soils. 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. Contrary to the prediction of the Arrhenius kinetics theory, we found no significant differences in temperature sensitivity among soils with different qualities (represented as soil compartments in the RothC model). 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, and the degree of overestimation was larger than that of underestimation. |
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