Litter carbon inputs to the mineral soil of Japanese Brown forest soils: comparing estimates from the RothC model with estimates from MODIS
Abstract
The level of organic carbon found in soil is the result of the balance between litter input to the soil and decomposition. Litter input to the soil is closely related to net primary production (NPP); at equilibrium, the NPP is equal to the litter input to soil. Plant litter input to a depth of 30 cm in the mineral soil was estimated for Japanese forest using the Rothamsted Carbon model (RothC) and an average value of soil organic carbon (SOC) content, and was compared with estimated litter inputs from the NPP dataset from Moderate Resolution Imaging Spectroradiometer (MODIS). A Monte Carlo uncertainty analysis of the input SOC was also conducted in order to reveal the sensitivity and uncertainty of the model to input SOC. The litter carbon input calculated using RothC and that derived from MODIS NPP were positively correlated, but the mean estimated litter input from RothC was 17.2% smaller than that estimated from MODIS. Mapping the normalized difference revealed spatial biases in the difference. The discrepancy was probably because of the different temperature controls for the MODIS algorithm and the RothC model, and also our simple assumption in the RothC calculation. This comparison reveals a close link between litter inputs estimated from SOC data and litter inputs estimated from satellite-based NPP data. The discrepancies between the estimates merit further study.
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C turnover derived from laboratory incubation of soil and residues overestimates those in undisturbed, natural systems.
“Further, C turnover derived from laboratory incubation of soil and residues overestimate those in undisturbed, natural systems [168, 171, 172]).”
From Carbon Sequestration by Perennial Energy Crops: Is the Jury Still Out? (2015) · cites this paper as [171]
Limitations of process-based models become more apparent at larger scales regarding soil depth, temporal resolution, and surface litter decomposition.
“However, the limitations of process-based models become more apparent when simulating at larger scales with regard to their limits to consider the effect of soil depth [168], adequate temporal resolution [171] and surface litter decomposition [173, 174].”
From Carbon Sequestration by Perennial Energy Crops: Is the Jury Still Out? (2015) · cites this paper as [171]
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- Authors
- Hashimoto, S., Wattenbach, M., & Smith, P.
- Affiliations
- Forestry and Forest Products Research Institute (JP)
- University of Aberdeen (GB)
- Corresponding author
- Hashimoto, Shoji
- Venue
- Journal of Forest Research
- Publisher
- Informa UK Limited
- Published
- 2011-02
- Volume
- 16
- Issue
- 1
- Pages
- 16-25
- ISSN
- 1341-6979 (ISSN-L)
- 1610-7403
- OpenAlex
- W2024689367
- Cited by
- 16
- References
- 50
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 2 · 2021: 4 · 2018: 2 · 2015: 2 · 2014: 2 · 2013: 1
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Forest Research (publishedVersion)
- Publication Database GFZ (GFZ German Research Centre for Geosciences) (submittedVersion)
- Funders
- Royal Society
- Japan Society for the Promotion of Science
- Topics
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
- Physical Sciences › Environmental Science › Ecology › Environmental and biological studies
- Keywords
- soil organic carbon, RothC model, litter decomposition, model uncertainty, Monte Carlo uncertainty analysis, soil carbon estimation, temperature sensitivity, spatial bias
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